The FamilyTreeDNA Haplogroup Project for G-Z6748

Haplogroup Gโ€‘Z6748 is considered a rare or ‘minority’ genetic YDNA haplogroup because it descends from an already uncommon Yโ€‘DNA series of genetic branches. It is represented today by a small, very geographically concentrated descendant cluster with a few known sub-branches and YDNA testers. Originating around 650 CE, it is predominantly associated with deep ancestral ties to Wales and neighboring parts of the British Isles and Western Europe. While primarily Welsh and British, participants who test positive for G-Z6748 are spread globally today, including in the United States, England, and across Europe.

In Europe west of the Black Sea, Haplogroup G is found at about 5% of the population on average throughout most of the continent. The concentration of G falls below this average in Scandinavia, the westernmost former Soviet republics and Poland, as well as in Iceland and the British Isles. There are seeming pockets of unusual concentrations within Europe. In Wales, a distinctive G2a3b1 (G-P15) type (DYS388=13 and DYS594=11) dominates there and pushes the G percentage of the population higher than in England.[1] The G-15 haplogroup is a distant ancestor of the G-Z6748 haplogroup.

Haplogroup G-P303 (G2a2b2a, formerly G2a3b1) is a Y-chromosome haplogroup. It is a branch of haplogroup G (Y-DNA) (M201). In descending order, G-P303 is additionally a branch of G2 (P287), G2a (P15), G2a2, G2a2b, G2a2b2, and finally G2a2b2a. This haplogroup represents the majority of haplogroup G men in most areas of Europe. . . .[2] The G-P303 haplogroup is an ancestor of the G-Z6748 haplogroup.

The following map is from an innovative study that systematically assessed the association between genetic variation in the specific regions of the Y chromosome and cardiovascular disease outcomes. While the study documented little evidence for an effect of any YDNA genetic influence on cardiovascular risk, an important secondary finding was that Y chromosome haplogroups carried by contemporary white British individuals demonstrate strong geographic structuring across Great Britain. The researchers observed that certain lineages are more prevalent in specific regions.

Illustration One: Prevalence of G2a-P15 Halpogroup by Area of Birth in Great Britain in 2022 [3]

Click for Larger View | Source:Timmers, Paul RHJ; Wilson, James F. (2022). Prevalence of Y chromosome haplogroups by area of birth in UK Biobank, [image]. University of Edinburgh. https://doi.org/10.7488/ds/3472.https://datashare.ed.ac.uk/handle/10283/4450

As reflected in the map, the prevalence of the G-P15 haplogroup in modern day Great Britain is rare. However, relative to other areas of the island, it is found in Wales, particularly in the central and southern areas of Wales.

This story discusses the role of a small YDNA research working group that focuses on the the genetic descendants of the most recent common ancestor of G-Z6748. Some of the results from this work group have revealed a similar patten of self reported earliest known ancestors of YDNA testers that are genetically associated wth the G-Z-6748 haplogroup.

Background Concepts

I have discussed the relationship between Single Nucleotide Polymorphisms (SNPs), Short Tandem Repeats (STRs) and haplogroups in greater detail in an earlier story. [4] Going back to basics, DNA base pairs are the fundamental building blocks of the DNA double helix, consisting of two complementary nitrogenous bases held together by hydrogen bonds. The four bases, or ‘nucleotides’, are Adenine (A), Thymine (T), Guanine (G), and Cytosine (C), eachpair specifically with antoher: A with T and G with C. These base pairs form the “complementary rungs” of the DNA ladder, dictating genetic information. Since the rungs are complimentary, one ‘rung’ is only required to define STRs and SNPs. [5]

In YDNA genealogy, SNPs, STRs, and haplogroups are three interconnected concepts that work together to trace your paternal lineage at different time depths (see table one). [6] STRs, called ‘strings’ or formally short tandem repeats, are short, 2โ€“7 base pair sequences of DNA that repeat consecutively, known as a microsatellite. [7] SNPs, called ‘snips’ or single nucletide polymorphisms, represent a difference in a single DNA building block, or nucleotide (A, T, C, or G). [8]

Table One: ‘Strings’, ‘Snips’, and Haplogroups

TermWhat It IsMutation RateGenealogical Timeframe
STR (Short Tandem Repeat)Repeating DNA sequences of base pairs (e.g., “GATA” repeated 12 times) that vary in copy number. Higher (~10โปยณ per generation)Recent genealogy (hundreds of years) 
SNP (Single Nucleotide Polymorphism)Single base-pair change in DNA (e.g., Cโ†’T) that occurs rarely. Very low (~3ร—10โปโธ per generation) Deep ancestry (thousands to tens of thousands of years to hundreds of years) 
HaplogroupA genetic “family group” defined by shared SNPs; your branch on the Y-DNA tree Not applicable
(defined by SNPs)
Ranges from ancient (e.g. haplogroup G-M201) to very recent (e.g. terminal SNP such as mine: FT48097)

STRs are useful genealogically, to determine to whom you match within a recent timeframe, of say, the past 500 years or so, and SNPs define haplogroups which reach much further back in time.  Furthermore SNPs are considered โ€œonce in a lifetime,โ€ or maybe better stated, โ€œonce in the lifetime of mankindโ€ type of events, known as a UEP, Unique Event Polymorphism, where STRs happen โ€œall the time,โ€ in every haplogroup. ” [9]

Y-DNA haplogroups are defined by the presence of a unique series of SNP genetic markers. Each branch of the genetic tree is defined by one or more specific, shared SNP mutations. Haplogroups are distinguished from one another by which of these mutations they do or do not carry. Subclades or downstream branches include the SNP mutations from prior related branches of the genetic tree but also contain one or more unique SNP mutations. [10]

Over many generations, the Y chromosome accumulates additional mutations, so haplogroups form a branching phylogenetic tree in which each branch point corresponds to a new, stable SNP event or mutation. In this sense, a haplogroup is a named genetic position on that tree. In practical terms, two men are in different haplogroup branches if they do not share the full defining SNP set for that particular branch, even though they may share older, upstream SNPs further back or upstream in the tree. In database or software contexts, haplogroups are recursive sets of groups that involve nested hierarchies. YDNA trees or phylogenetic trees list nested groups (Haplogroups) where a group is a member of another group as you go ‘down’ the subclades to more recent times. [11]

YDNA test results of individual males can be grouped into Y-DNA haplogroups based on the particular mutations found on the nonโ€‘recombining portion of the Y chromosome. These defining mutations are almost always SNPs that arose once in an ancestral male and were then passed to his male-line descendants. Table two provides an overview of the different types of SNPs referenced in a phylogenetic tree.

Table Two: Types of SNPs for a Haplogroup

Types of SNPPersonal Example
Upstream (ancestral) SNPsAll derived SNPs that define the path from the root branch (e.g. haplogroup G-M201) down to a specific clade or terminal branch. For example, a man in G-Z6748 will also carry the defining SNPs for G-L497, and G-P303 if he is in that branch. [12]
Defining (haplogroup) SNPsThe specific SNP (or small set of SNPs) used as the formal label for that node. For example, the specific SNP G-Z6748 is used to name or define the G-Z6748 haplogroup branch. [13]
Block/cluster SNPsOn detailed trees (e.g. Big Y block trees), several SNPs may sit together at one branch because they have not yet been seen or differentiated by additional samples; all belong to that branch and are shared by everyone in the clade. For example, the G-Z6748 branch is represented by the presence of 29 SNP variants [14]
Terminal SNPsThe specific Yโ€‘chromosome SNP that marks the furthestโ€‘down (most recent) branch on the Yโ€‘haplotree where a given man currently tests positive; it is the defining SNP of his latest known subclade. For example, my officially recognized terminal branch is G-BY211678 which is shared by 10 other YDNA testers. [15]
Private (novel) variantsRecently arisen SNPs seen only in one man (or one tight family cluster) so far; they are not yet used to define published haplogroups but will become defining when shared by multiple men and placed as a new twig on the tree. I have a private variant, G-FT40897, that is a new terminal branch. [16]

FamilyTreeDNA and YDNA Work Projects

FamilyTree DNA (FTDNA) is a company that provides direct-to-consumer DNA tests for genealogy, allowing people to trace their family history through autosomal, Y-DNA, and mitochondrial DNA tests. It was founded in 2000 and is known for being one of the first companies in the field. The company offers autosomal DNA testing for broader, more recent ancestry, while Y-DNA and mtDNA tests focus on the narrower, more distant paternal and maternal lines, respectively. [17]

FTDNA is unique among major testing companies because it offers comprehensive testing options for all three types of DNA used in genealogy. The company’s strength is based on the size of their YDNA and mtDNA database and the research tools and group projects provided for genetic genealogical research. [18] Unlike many competitors, FamilyTreeDNA processes all tests in its own certified lab in Houston, allowing for potential test upgrades without requiring a new DNA sample. [19]

The three types of DNA testing provied by FTDNA are:

  • Autosomal DNA (Family Finder test): This test analyzes DNA inherited from all ancestors to provide ethnicity estimates and match individuals with relatives within about five generations. Users can also upload raw autosomal DNA data from other services like AncestryDNA and 23andMe to join the matching database. [20]
  • Y-DNA: Exclusively for genetic males, this series of tests traces the direct paternal line (father’s father, and so on) and can be particularly useful for surname research. Specific tests are differentiated on the number of genetic markers tested. FTDNAโ€™s Y-DNA products have mainly differed by (1) how many Short Tandem Repeat (STR) markers they test, (2) whether they include Single Nucleotide Polymorphism (SNP)/sequence data (haplogroup resolution), and (3) how far back and how precisely they can resolve relationships and place you on the Y-tree. Historically FTDNA has offered multiple STR-only Y panels at different marker counts; currently the main marketed levels are Y-37 STR, Y-111 STR, and Big Y-700 (which also includes SNPs and STRs). [21]
  • Mitochondrial DNA (mtDNA): This test traces the direct maternal line (mother’s mother, and so on) and is available for both males and females. [22]

Coupled with an extensive database for YDNA and mtDNA test results, FTDNA offers a wide variety of Y-DNA Group Projects to help further research goals of DNA testers. The group projects support genetic genealogy research, leveraging YDNA, mtDNA, and autosomal DNA results. The projects are designed to facilitate collaborative research among individuals with shared ancestry, geographic origins, or genetic interests. [23]

Joining group projects enables participants to:

  • Utilize project-specific databases to break down genealogical “brick walls” and connect with distant relations;
  • Compare DNA signatures and mutations within a defined subgroup; and
  • Collaborate with others researching similar ancestry or geographic roots.

The group projects are associated with specific branches of the YDNA or mtDNA haplotrees, geographical areas, surnames, or other unique identifying criteria. Based on their respective area of focus, the research groups have access to and the ability to compare Y-DNA results of fellow project members to determine if they are related. These projects are run by volunteer administrators who have an interest or specialize in the haplogroup, surname, or geographical region that one may be researching.

FTDNA Group Projects

FamilyTreeDNA officially organizes its group projects into four main categories, each defined by the type of DNA analyzed and the research question it addresses (see table three) [24]

Table Three: Type of FamilyTreeDNA Group Projects

CategoryDNA Type(s)Primary FocusTypical Examples
Y-DNA Group ProjectsY-DNA onlyPaternal-line ancestrySurname Projects, Y-DNA Haplogroup Projects, Y-DNA Geographical Projects 
mtDNA Group ProjectsmtDNA onlyMaternal-line ancestrymtDNA Lineage Projects, mtDNA Haplogroup Projects 
Geographical Group ProjectsY-DNA, mtDNA, and/or Family FinderGenetic history of a specific region (country, county, city)Finland DNA Project (largest), Greater Nordic Y-DNA Project, Brabant DNA Project 
Family Finder Group ProjectsAutosomal (Family Finder)Descendants of a specific ancestral couple (usually 5โ€“6 generations back) or special-interest autosomal studiesAcadian AmerIndian Ancestry Project, private family studies 

These four main project groups can alternatively be viewed in five major areas:

  • Surname Projects focus on researching a specific surname, including its various spellings and branches. These usually involve Y-DNA testing because surnames are commonly passed down the paternal line, but may also include autosomal and mtDNA data when relevant.โ€‹
  • Haplogroup Projects target specific Y-DNA or mtDNA haplogroups or subclades. Members share a particular haplogroup and collaborate to refine its structure, migration patterns, and genetic connections.โ€‹
  • Geographical Projects concentrate on people from a specific region, whether by country, county, or cultural group. These may require Y-DNA, mtDNA, or both, and aim to explore the genetic history and patterns within a defined locale.โ€‹
  • mtDNA Lineage Projects are designed for those interested in tracing direct maternal lineages, regardless of surname changes due to marriage. These projects bring together individuals who share a common maternal heritage.โ€‹
  • Special Interest or Family Finder Projects focus on specific people or issues. Sometimes projects focus on a particular couple (as discovered by Family Finder autosomal testing) or a group united by historical, cultural, or genealogical interests. These can include adoptee projects and projects for descendants of notable groups such as indigenous communities, pilgrims, or nobility.

The Group Project system allows Group Project Administrators to organize members into subgroups based on their project goals. Y-DNA and surname projects typically focus on grouping the members into genetic subgroups based on Y-SNP and Y-STR markers or based on genealogical or geographical information.[25]

At the begining of 2023, three types of group projects represented about 92 percent of the group projects. YDNA surname projects constituted the majority of group projects. Surname projects represented roughly three quarters of the groups projects (see illustration one below). Nine percent of the group projects focus on autosomal DNA connections. About eight percent of the group projects are focused on a geographical areas for YDNA.

Illustration Two: FamilyTreeDNA Group Project Types (as of February 2023)

Click for Larger View | Source: The Group Time Tree: A New Big Y Tool for FamilyTreeDNA Group Projects, 15 Feb 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-time-tree/

About 3 percent of the projects are what are known as ‘dual geography’ (or dual geographical) projects. They are regional projects that deliberately collect and analyze Y-DNA, mtDNA, and often autosomal (Family Finder) results together for a single country, region, or locality. [26] Another three percent of the group projects involve YDNA haplogroups.

Advantages of Joining Multiple Work Groups

Joining multiple YDNA FTDNA Work Projects maximizes your potential research return by providing a different research focus, genetic genealogical analysis and collaborative expertise that a single project cannot offer. The different research focus or perspective for each of these different work projects provide complementary benefits in genealogical research. [27]

J. David Vanceโ€™s framework of three periods of ancestry is useful for discussing the relative advantages of and coherence between each type of YDNA Work Project. The utility of YDNA evidence changes fundamentally depending on how far back in time you are looking. Three distinct temporal layers require different tools, different interpretive frameworks, and yield different types of knowledge (see illustration three). [28]

The three period framework emerged from a challenge familiar to every genealogist โ€” the brick wall. When documentary records run dry, genealogists historically had nowhere to go. Vance’s insight was that Y-DNA does not simply confirm what records show; it can extend knowledge into temporal zones where no records exist, though the nature of that knowledge differs by period.

Genealogy โ€“ The most recent period where generations of named ancestors have been documented through traditional records research (birth, marriage, death records, censuses, etc.), possibly corroborated by DNA testing. This is the era of the documented family tree.

Period of Lineages (or Clans) โ€“ The intermediate period beyond traditional “brick walls” where specific named ancestors cannot be identified, but surname lineages or clans can be traced through YDNA matching. This netherworld connects documented genealogy to deep ancestry.

Deep Ancestry โ€“ The most ancient period reaching back thousands of years, traced through haplogroups and ancient migration patterns (e.g., Mesolithic hunter-gatherers, Neolithic farmers, Bronze Age steppe populations). This reveals prehistoric origins and continental migrations.

Illustration Three: Vance’s Three Periods of Ancestry

Click for Larger View | Source: Page 13 of a readable transcript of the narration in a YouTube at https://drive.google.com/open?id=1CdUโ€ฆ, The video is by J. David Vance, DNA Concepts for Genealogy: Y-DNA Testing Part 1, 10 Oct 2019, https://youtu.be/RqSN1A44lYU

This three-tiered view allows researchers to seamlessly transition from documenting named ancestors (Genealogy) to mapping unnamed lineage ancestors (Lineages) to exploring prehistoric migrations (Deep Ancestry) within a single integrated outlook.

Vance emphasizes that the boundary between genealogy and the period of lineages is not a fixed date but shifts as new genealogical discoveries push ‘brick walls’ or the absence of information further back. DNA testing, particularly YDNA, serves as the bridge that connects the documented era to the deeper, pre-surname past.

Based on Vance’s framework and FamilyTreeDNA’s (FTDNA) work project structure, a correlation can be made between the three periods of ancestry and the utility of the types of Y-DNA Group Projects hosted on the FTDNA platform (see table four).

Table Four: Vance’s Three Period of Ancestry and FTDNA’s Project Structure

Vance’s PeriodTime DepthPrimary DNA MarkersPerdominant FTDNA ProjectProject Purpose / Goals
Genealogy~1500 CE to present (documented era)Y-STRs (37โ€“111 markers)Surname ProjectsConnect test kits with the same surname to identify common ancestors within genealogical time; break through brick walls using STR matches.
Lineages~500โ€“1500 CE (pre-surname to early surname era)Y-STRs + Y-SNPs (Y-111 & Big Y-700)Surname Projects (deep subclades) & Geographic ProjectsMap unnamed ancestors through mutation history trees (MHT); identify lineage branching points and regional clusters before surnames stabilized.
Deep Ancestry500+ back to Paleolithic and beyond (prehistoric migrations)Y-SNPs (haplogroup-defining)Haplogroup ProjectsTrace ancient migration paths, identify haplogroup origins, and correlate with archaeological cultures using the Y-DNA phylogenetic haplotree.

My Involvement with FTDNA Projects

I originally was a member of four projects based on my general goal of expanding and tracing the family genealogy of the Griff(is)(es)(ith) family through YDNA genetic research. The four initial FTDNA project groups were:

  1. The GRIFFI(TH,THS,N,S,NGโ€ฆetc) surname project: This project is intended, as its name indicates, to provide an avenue for exploring the genetic connections that may exist with YDNA testers that have Griffith, Griffiths, Griffin, Griffis, Griffing and other derivative surnames. [29]
  2. The G-L497 Working Group: This project is a large one in terms of members and in the number of project managers. It is a well developed project that includes a wealth of research links and maintenance of phylogenetic tree maps. The project includes FTDNA test kit results with the G-L497 SNP mutation. The L-497 is a major branch or subclade of the G-haplogroup that reflects the migration route into central Europe. The primary goal of the project is to identify new subgroups of haplogroup G-L497 which will provide better focus on the migration history of haplogroup G-L497 ancestors. The L497 haplogroup is part of the paternal ancestral migratory path of the Griff(is)(es)(ith) lineage. [30]
  3. The Welsh Patronymics project is designed to establish links between various families of Welsh origin with patronymic style surnames. [31]
  4. The Wales Cymru DNA project collects the DNA haplotypes of individuals who can trace their Y-DNA and/or mtDNA lines to Wales. [32]

Each of these work groups provide benefits for discovering YDNA matches and specific angles for discovering patterns and relationships among group project members. My involvement with the G-L497 group project has been particularly beneficial. Since my YDNA lineage can be traced back to the L497 haplogroup, thre is a small group of YDNA testers that belong to the G-Z6748 subclade. The project administrators of the group also provide noteworthy research documents and information, such as the phylogenetic tree charts (see illustration four).

Illustration Four: Known Haplotree of G-Z6748 as of January 2026

Click for Larger View | Source: Modified version of a chart developed by Rolf Langland and Mauricio Catelli (Cattel), G-FGC477 / Chart D – v6 – 2 pages 24 Jan 26, FTDNA L-497 Work Group, https://drive.google.com/file/d/1U_-FfascgkP2kS4nVPEPQVr0l6w8Qc7U/view

The Inception of the G-Z6748 Haplogroup Project

In February of 2022, Thomas Weaver, one of the volunteer administrators associated with the G-L497 project created a new haplogroup project based on the descendents of G-Z6748. [31] Weaver reached out through email correspondence to targeted individuals, including me, who were members of the G-L497 project that could trace their lineage back to the G-Z6748 haplogroup.

I am a new co-admin of the FTDNA G-L497 Haplogroup Project and have created a new FTDNA G-Z6748 Haplogroup Project to focus specifically on your UK branch.

I created the attached map (see illustration five below) that shows the towns of participants who have traced their earliest ancestor to Europe.  It helps us see the homelands of the group.  The common ancestor will be before surnames, probably in the Early Middle Ages, which is why we see multiple surnames.[33]

That map shows you the year, surname, and town of origin for each of the listed kits.  . . .  Most of them have different surnames than you.  The common ancestor is a man from the Early Middle Ages, but most of his descendants appear to be from Southern Wales.  Each of those names and markers represent independent migrant lines and where they are tracing their earliest known paternal ancestor.

As a group, these different lines make a powerful statement as to where the group originated.  Your Big Y results specifically show us your branch, and helping others see the value of upgrading will reveal the origin of each branch, refining the group’s results.[34]

Illustration Five: Map of G-Z6748 Testers’ Self Reported Earliest Known Ancestors

Click for Larger View | Source: Thomas Weaver, Map of G-Z6748 Earlest Known Ancestors, G-Z6748 Work Group, FamilyTreeDNA,1 Feb 2022

The Unique Advantages of the G-Z6748 Haplogroup Work Group

The members of the G-Z6748 Work Group have a common YDNA ancestor who is related to haplogroup G-Z6748. He lived at the end of the Roman era or perhaps the late iron age / early medieval times in an area that is now known as the Netherlands. [3]  Another significant fact associated with this ancestor is that at least one of his descendants migrated to what is now known as the British Isle.

The G-Z6748 Haplogroup Work Group is focused on identifying and inviting YDNA testers that have tested positive for the G-Z6748 SNP to join the research work group. In addition, an ongoing objective is to document the evolving SNP branches or subclades of the genetic descendants of the most recent common ancestors (MRCA) of this haplogroup. Another objective is to facilitate the discovery of YDNA matches among work group members. 

Based on the definitions provided above for the various FTDNA work projects, the G-Z66748 work group is a downstream haplogroup work group that is largely delimited by geography. The descendants of the G-Z6748 Haplogroup can be traced on the British Island and possibly the contours of the coastal northwestern European continent. 

The surnames of the modern day descendants of G-Z6748 vary. This is due to the fact that surnames emerged and became prominent in various parts of the British Isle and northwestern coastal Europe about one thousand years after this ancestor and his descendants lived.

Illustration Six depicts a phylogenetic tree of descendants of the G-Y38335 haplogroup. This is a descendant of the G-Z6748 haplogroup – the first ancestors to migrate to the British Isle. The tree was generated through the use of a computer program created by David Vance. [35] Added to the tree diagram is a shaded area that depicts approximately when surnames emerged in relation to the haplogroup subclade. [36] This is a practical illustration of Vance’s boundary between genealogy and the period of lineages

Illustration Six: The Descendants of G-Y38335 and the Emergence of the Use of Surnames

Click for Larger View | Phylogeneic Tree Rendered by using FTDNA data from the G-Z6748 Work Project and using the SAAP software program by David Vance

The resultant historical effect is that many of the documented genetic descendants have different surnames โ€“ reflecting names such as Williams, Griffis, Griffith, Griffin, Jones, Jenkins, Howard, and Wigington, among others.

A unique advantage of being a member of this group as well as being a member of other surname groups is it prevents the error of assuming a surname equals a single genetic lineage (possible in surname projects) while also avoiding the noise of analyzing regional data without a specific lineage anchor (a risk in geographical projects).

A downstream haplogroup project, such as G-Z6748, functions as a “regional filter” that allows you to see your Y-DNA lineage in the context of deep time and landscape, rather than just the last 500 years of surname usage.

Table Five: Advantages of Being a Member of G-Z6748 Haplogroup 

MechanismHow It Identifies Migration and โ€˜Clansโ€™
Pre-Surname ContextSurnames are recent (medieval/modern), but clans often moved millennia earlier. Geographical projects group by region, allow one to see haplogroup branches movement before surnames existed.
Cross-Surname CorrelationUnlike surname projects, geographical and downstream haplogroup projects include all paternal lines from a region. This reveals if multiple distinct surnames (e.g., Griffith, Griffis, Williams, etc) share a recent common ancestor, indicating a founder effect or a single clan that fractured and adopted different surnames.
Cluster AnalysisAdministrators group members by STR signatures and terminal SNPs specific to the region and subclades of G-Z6748. If a clan’s specific subclade forms a tight cluster but is scattered in a broader geographic project, it signals a localized settlement event.
Ancient DNA IntegrationTools like Globetrekker (powered by FTDNA’s Discoverโ„ข) integrate ancient DNA samples and Least Cost Path (LCP) modeling to visualize exactly how your clan’s ancestors likely moved across the landscape.
Outlier DetectionBy comparing specific SNP branches against a larger geographic regional baseline and othe subclades, administrators can spot “outliers” that indicate specific migration events (e.g., the impact of the Normal invasion).

Overlapping Membership in FTDNA YDNA Projects is Good for Everyone Involved

To date, there are approximately 150 YDNA testers that are documented to be modern descendants of the most recent common ancestor of haplogroup G-Z6748. That number may go up as more male individuals are tested. [37] 

Joining FTDNA work groups is voluntary. The G-Z6748 Work Group has about 50 of those 150 test kits in the work group. The upstream G-L497 โ€˜parentโ€™ Haplogroup work group has the largest number of test kits that have tested positive for the G-Z6748 SNPs associated with the G-Z6748 haplogroup. Other surname and geographical work groups have G-Z6748+ test kits ranging from about 16 to 40 YDNA testers.  Some of these test kits overlap in each of the sampled work groups (see illustration seven).

Illustration Seven: FTDNA YDNA Testors that have Tested Positie for G-Z6748 and their distribution in FTDNA Work Groups

Click for Larger View | Source: Data from various FamilyTreeDNA Work Projects

Joining multiple FTDNA work groups not only can aid individuals associated with specific test kits but also benefits each of the individual work groups.

Table Six: Key Advantages of Joining Multiple FTDNA Projects

AdvantageHow It Helps Your Research
Multi-Scale ContextComparing your results in a Surname Project (recent genealogy), a Haplogroup Project (deep ancestry), and a Geographical or Downstream Haplogroup Project (regional migration and lineages) has potential to reveal patterns and connections that would not be obvious in isolation.
GuidanceDifferent project administrators specialize in different areas (e.g., a specific surname vs. a broad haplogroup, providing targeted advice.
Enhanced MatchingProjects utilize the Y-DNA Results Overview Report, allowing administrators to group you with close matches based on STR signatures that might be missed in general or other group projectโ€™s matching .
Upstream and Downstream CollaborationJoining “upstream” or โ€œdownstreamโ€ haplogroup projects allows your specific surname data to contribute to broader population studies, often leading to the discovery of new SNPs that refine your branch.

Sources

Feature Image: The banner image consistes of two images. The image on the left is a modifed version of a Phylogenetic Tree created by Rolf Langland and Maurรญcio Catelli (see reference below). The image on the left is a map I have created that illustrates the estimated migratory path between the MRCA of G-Z6748 and G-Y38335 and G-Z40857.

Feature Image source for map: The source for creating the map is based on a variety of historical and archaeological studies as well as the estimates derived from the FTDNA Globetrekker tool, see Jim Griffis, Migrating to East Anglia, March 31, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/migrating-to-east-anglia/

Feature Image source for phylogenetic tree: Rolf Langland and Maurรญcio Catelli, G-FGC477 / Chart D – v6 – 2 pages (Jan 26), G-L497 Y-DNA Work Project, https://drive.google.com/file/d/1U_-FfascgkP2kS4nVPEPQVr0l6w8Qc7U/view

[1] Quote: Haplogroup G-M201, Wikipedia, This page was last edited on 20 February 2026, https://en.wikipedia.org/wiki/Haplogroup_G-M201

The quote references the ISOGG haplogroup G2a3b1 which is G-P303 . A direct match to G2a3b1 is not found, but 3 steps up the haplotree is G2a which has an equivalent name of G-P15.

See also:

Haplogroup G-P303, Wikipedia, This page was last edited on 26 January 2026, https://en.wikipedia.org/wiki/Haplogroup_G-P303

There are seeming pockets of unusual concentrations within Europe. In Wales, a distinctive G2a3b1 (G-P15) type (DYS388=13 and DYS594=11) dominates there and pushes the G percentage of the population higher than in England.

DYS399 and DYS594 stand for DNA Y-chromosome Segments. They are specific short-tandem repeat (STR) markers located on the Y-chromosome used in genetic genealogy to trace paternal ancestry. DYS markers, designated by the HUGO Gene Nomenclature Committee, identify specific spots where DNA sequences repeat, helping men determine relatedness to others through their direct paternal line.

Key Details About DYS Markers (e.g., DYS399 and DYS594):

  • Paternal Tracking: DYS markers only exist on the Y-chromosome, passing from father to son with few changes, making them ideal for surname projects and genealogical research.
  • STR (Short Tandem Repeat): These markers measure the number of times a short DNA sequence repeats, such as GATA-GATA-GATA (3 repeats).
  • Mutation Rates: While highly stable, these markers can mutate, allowing researchers to estimate the time to the most recent common ancestor (TMRCA) between two men.
  • Component of Y-DNA Profiles: Results for DYS399, alongside others like DYS390 or DYS393, form a Y-STR haplotype profile.

Understanding the Admin – Y-DNA Results Overview Report, FamilyTreeDNA, https://help.familytreedna.com/hc/en-us/articles/11165708791311-Understanding-the-Admin-Y-DNA-Results-Overview-Report#h_01JBYS1DRY1CMCC0FVK83ER1GQ

A review of the DYS values for 399 and 594 for members of the G-Z6748 FamilyTree Project confirms this observation. The following is the G-Z6748 – Y-DNA Results Overview for the FamilyTreeDNA project. As reflected in the chart, the value for DYS399 is 13 for all members. The value for all but one member for DYS594 is 11.

G-Z6748 – Y-DNA Results Overview (as of April 2026)

Click for Larger View | Source: G-Z6748 – Y-DNA Results Overview, G-Z6748 FamilyTreeDNA Haoplogroup Project, FamilyTreeDNA, Accessed 21 April 2026,https://www.familytreedna.com/public/G-Z6748?iframe=ydna-results-overview

[2] Haplogroup P-303, Wikipedia, This page was last edited on 26 January 2026, https://en.wikipedia.org/wiki/Haplogroup_G-P303

[3] The map is from an innovative study that systematically assessed the association between genetic variation in the male-specific region of the Y chromosome (MSY) and cardiovascular disease outcomes. The researchers conducted a kin-cohort analysis of family disease history using the largest sample to date. The study involved testing 90 MSY haplogroups against several cardiovascular health indicators including coronary artery disease, hypertension, blood pressure, classical lipid levels, and all-cause mortality.

The primary finding of the study was that their models showed little evidence for an effect of any MSY haplogroup on cardiovascular risk in participants. An important secondary finding was that Y chromosome haplogroups carried by White British individuals demonstrate strong geographic structuring across Great Britain. The researchers observed that certain lineages are more prevalent in specific regions.

The Timmers and Wilson haplogroup maps offer genealogical researchers several distinctive advantages beyond typical commercial DNA project maps. With 152,186 unrelated white British men, this is the largest Y chromosome geographic survey ever conducted for Britainโ€”far exceeding commercial projects like FamilyTreeDNA’s British Isles Project (typically thousands of participants). This scale provides:

  • Statistical robustness for rare haplogroups that appear sporadically in smaller datasets;
  • Fine-grained resolution at ward and electoral division levels (the smallest UK census units), not just counties or regions; and
  • Reliable frequency estimates even for subclades with only hundreds of carriers.

Unlike commercial maps showing “earliest known ancestor” pins (which suffer from recall bias and uneven sampling), these maps use official 2011 UK Census boundaries with strict inclusion criteria (minimum 100 individuals per area). This means:

  • Researchers can directly correlate haplogroup distributions with historical census data, parish records, and surname distributions;
  • Frequencies are population-based, not volunteer-based; and
  • Geographic units are hierarchical and comparable (wards โ†’ local authorities โ†’ regions โ†’ nations).

Timmers, Paul RHJ; Wilson, James F. (2022). Prevalence of Y chromosome haplogroups by area of birth in UK Biobank, [image]. University of Edinburgh. https://doi.org/10.7488/ds/3472.https://datashare.ed.ac.uk/handle/10283/4450

[4] Griffis, Jim, Y-DNA and the Griffis Paternal Line Part Three: The One-Two Punch of Using SNPs and STRs,, February 23, 2023, https://griffis.org/y-dna-and-the-griffis-paternal-line-part-three-the-one-two-punch-of-using-snps-and-strs/

[5] Bates, Sarah, Base Pair, April 27, 2026, National Human Genome Institute, https://www.genome.gov/genetics-glossary/Base-Pair

Base Pair, Wikipedia, This page was last edited on 9 April 2026, https://en.wikipedia.org/wiki/Base_pair

[6] Estes, Roberta, STRs vs SNPs, Multiple DNA Personalities, 10 Feb 2014, DNAeXplained – Genetic Genealology, https://dna-explained.com/2014/02/10/strs-vs-snps-multiple-dna-personalities/

Estes, Roberta, STRs and SNPs โ€“ Are STR Markers Still Useful for Y DNA?, 3 Dec 2021 , DNAeXplained – Genetic Genealology, https://dna-explained.com/2021/12/03/strs-and-snps-are-str-markers-still-useful-for-y-dna/

Li M, Zhang H, Tao R, Chen A, Zhou P, Yu C, Bian Y, Zhang S, Fang C, Li C. Exploring Y-chromosomal STRs and SNPs for forensic and genetic insights in the Jiangsu Han population. BMC Genomics. 2025 May 2;26(1):440. doi: 10.1186/s12864-025-11634-6. PMID: 40316924; PMCID: PMC12048932. https://pmc.ncbi.nlm.nih.gov/articles/PMC12048932/

Y-DNA tools, International Society of Genetic Genealology Wiki, This page was last edited on 8 February 2026, https://isogg.org/wiki/Y-DNA_tools

[7] Microsatellite, 27 Apr 2026, National Human Genome Institute, https://www.genome.gov/genetics-glossary/Microsatellite

Y-STR Results Frequently Asked Questions, FamilyTreeDNA Help Center, Page accessed 12 Apr 2026, https://help.familytreedna.com/hc/en-us/articles/4408071453711-Y-STR-Results-Frequently-Asked-Questions

[8] Single Nucleotide Polymorphisms (SNPS), (SNPS) , 27 Apr 2026, National Human Genome Institute, https://www.genome.gov/genetics-glossary/Single-Nucleotide-Polymorphisms-SNPs

Estes, Roberta, STRs vs SNPs, Multiple DNA Personalities, 10 Feb 2014, DNAeXplained – Genetic Genealology, https://dna-explained.com/2014/02/10/strs-vs-snps-multiple-dna-personalities/

Estes, Roberta, STRs and SNPs โ€“ Are STR Markers Still Useful for Y DNA?, 3 Dec 2021 , DNAeXplained – Genetic Genealology, https://dna-explained.com/2021/12/03/strs-and-snps-are-str-markers-still-useful-for-y-dna/

[9] Estes, Roberta, STRs vs SNPs, Multiple DNA Personalities, 10 Feb 2014, DNAeXplained – Genetic Genealology, https://dna-explained.com/2014/02/10/strs-vs-snps-multiple-dna-personalities/

[10] Y chromosome DNA haplogroup, International Society of genetic Genealology, https://isogg.org/wiki/Y_chromosome_DNA_haplogroup

Human Y-chromosome DNA haplogroup, Wikipedia, This page was last edited on 12 April 2026, https://en.wikipedia.org/wiki/Human_Y-chromosome_DNA_haplogroup

Estes, Roberta, Y DNA: Part 2 โ€“ The Dictionary of DNA, 27 Jan 2020, DNAeXplained – Genetic Genealology, https://dna-explained.com/2020/01/27/y-dna-part-2-the-dictionary-of-dna/

[11] In database, software, and genetic contexts, Y-DNA haplogroups are structured as recursive sets and nested hierarchies (also known as a directed acyclic graph or phylogenetic tree. These trees map the evolutionary history of paternal lineages, where each haplogroup is defined by a specific single nucleotide polymorphism (SNP) mutation that occurred at a specific time and place

Key Concepts in Haplogroup Hierarchies:

  • Nested Structure: A haplogroup (e.g., R1b1a1a2) is a subset of a broader, more ancestral group (e.g., R1b1a1a), which in turn is a subset of an even broader group (e.g., R). As you move “down” the tree (towards more recent times), you are navigating into more specific subclades.
  • Phylogenetic Trees (Y-DNA): These trees demonstrate relationships between Y-chromosome lineages, starting with broad “backbone” haplogroups and branching into over 90,000 sub-branches (subclades) in specialized databases like FamilyTreeDNA.
  • Nomenclature: Haplogroups are often labeled using a nested nomenclature system with numbers and letters identifying sublineages.
  • Database Management: Software systems (like ISOGG or Yleaf) use tree traversal algorithms to manage and assign haplogroup labels, navigating this hierarchical structure to classify new Y-DNA sequences. 

Y Chromosome Consortium. A nomenclature system for the tree of human Y-chromosomal binary haplogroups. Genome Res. 2002 Feb;12(2):339-48. doi: 10.1101/gr.217602. PMID: 11827954; PMCID: PMC155271. https://pmc.ncbi.nlm.nih.gov/articles/PMC155271/

Haplogroup, Wkipedia, This page was last edited on 7 January 2026, https://en.wikipedia.org/wiki/Haplogroup

Rowe-Schurwanz, Katy, 2 Jul 2024, Interpreting Y-DNA Test Results: Y-DNA Haplogroups, FamilyTreeDNA Blog, https://blog.familytreedna.com/interpreting-y-dna-test-results-haplogroups/

FamilyTreeDNAโ€™s Y-DNA Haplotree: 90,000 Branches and Counting, FamilyTreeDNA Blog, https://blog.familytreedna.com/ydna-haplotree-90000-branches

[12] My detailed haplogroup path is the following: G-M201> L89> L156> P15> L1259> L30> L141> P303> L140> PF3346> Z3065> PF3345> L497> CTS9737> Z1900> Z6901> Z1817> Z727> FGC477> FGC7516> Z6748> Y38335> Z40857> Y132505> BY211678

Ancestral Path of G-BY211678, FamilyTreeDNA, https://discover.familytreedna.com/y-dna/G-Z6748/path

[13] The man who is the most recent common ancestor of this line is estimated to have been born around 650 CE. He is the ancestor of at least 2 descendant lineages known as G-Y38335 and 1 yet unnamed lineage.

Your Haplogroup Story: G-Z6748, FamilyTreeDNA, https://discover.familytreedna.com/y-dna/G-Z6748/story

[14] The 29 SNPs that are associated with the G-Z6748 branch are: G-Z6748, BY8142, FGC476, FGC479, FGC481FGC482,FGC483, FGC484, FGC485, FGC487, FGC488, FGC490, FGC496, FGC498, FGC499, FGC500, FGC502, FGC504, FGC505, FGC506, FGC507, FGC509,FGC511, FGC512, FGC516FGC517,,FGC518, FT73641, and Y172988

Scientific Details of G-Z6748: Variants, FamilyTreeDNA, Accessed 3 Jun 2026, https://discover.familytreedna.com/y-dna/G-Z6748/scientific?section=variants

[15] Ancestral Path of G-BY211678, FamilyTreeDNA, https://discover.familytreedna.com/y-dna/G-Z6748/path

Click for Larger View | Source: SNP Results for G-BY211678, FamilyTreeDNA, https://www.familytreedna.com/my/y-dna-haplotree

Estes, roberta, Glossary โ€“ Terminal SNP, 29 Nov 2017, DNAeXplained, https://dna-explained.com/2017/11/29/glossary-terminal-snp/

[16] A novel SNP is a previously unreported genetic variant. It means this specific mutation at a specific location on the genome has not been documented in public genetic databases. A novel variant is simply “new to science.” It does not mean it is unique it merely has not been mapped yet.

As of the date of this story, based on an YFull analysis, I have seven novel or private variant SNPS. One of which, FT48097, is verified by Sanger sequencing YSseq 40 by Yull.com

Novel SNPs Associated with my Y700 Test Results Based on Analysis by YFull

NamePosition
Hg38
ReferenceDerivedQQualReadsT2T Only
Y1729527246246CT100Best qual8
FT4809715863570CT100Best qual29
5357260TC100Ambiguous qual2
13953027AT1 readOne reading!1
15064752TC1 readOne reading!1
15531370TC1 readOne reading!1
20693374GA1 readOne reading!1

Terminal SNPs for BY211678YFull Y-Chr Sequence Interpretation Service, YFull, https://www.yfull.com/snp/private/

Here is what each YFull private SNP table heading means in that context:

  • Position Hg38: Genomic coordinate of the variant on the Y chromosome in the GRCh38/hg38 human reference assembly, i.e. the base position on the current standard reference genome rather than hg19/GRCh37.
  • Reference (TACG): The reference-base state at that position in hg38, using standard nucleotide codes T, A, C, or G. In other words, this is the allele present in the reference genome sequence before any sample-specific mutation.
  • Derived: The nonโ€‘reference allele that YFull has called for your sample at that position, i.e. the SNP variant relative to the reference sequence. This is the putative โ€œmutatedโ€ state on your Y line; it is what makes the site a private/novel SNP for you or your clade.
  • Q: Perโ€‘variant quality score that summarizes confidence in the variant call, usually on a Phredโ€‘like scale derived from the underlying read and mapping qualities. Higher values mean stronger statistical support that the derived allele is real and not a sequencing or alignment error.
  • Qual: Perโ€‘read or perโ€‘site base quality metric as reported from the mapper/caller, again Phredโ€‘scaled; this reflects how reliable the individual base calls are at that position in your BAM/CRAM, and is one of the ingredients used by YFull when assigning their own Q and star rating. Very low Qual values flag positions where the chemistry or baseโ€‘calling is noisy, even if there are multiple reads.
  • Reads: Number of sequencing reads from your sample that cover this genomic position, typically counting reads that support either the reference or the derived allele (YFull may separately track how many support the derived state when you click into the detail view). SNPs with only one or two reads are generally considered unreliable and may be excluded from age estimation or tree placement.
  • T2TOnly: Indicator that this position or allele falls within sequence that exists in the complete Telomereโ€‘toโ€‘Telomere (T2Tโ€‘CHM13) assembly but is absent, incomplete, or problematic in hg38, or that the confident call relies on mapping against T2T rather than hg38 alone.

Swords, Christina, How to use the YFull Platform โ€“ A Tutorial for Beginners, Nebula Genomics, https://nebula.org/blog/yfull-tutorial/

Genome assembly GRCh38, The Human Genome Project, currently maintained by the Genome Reference Consortium (GRC), National Library of Medicine, https://www.ncbi.nlm.nih.gov/datasets/genome/GCF_000001405.26/

Frequently Asked Questions, Genome Reference Consortium, https://www.ncbi.nlm.nih.gov/grc/help/faq/

Reference Genome, Wikipedia, This page was last edited on 2 February 2026, https://en.wikipedia.org/wiki/Reference_genome

Serverine Catreux, Fred Farrell, Rami Mehio, Lisa Murray, Gavin Parnaby, Cooper Roddey, Mike Ruehle , Demystifying the versions of GRCh38/hg38 reference genomes, how they are used in DRAGEN and their impact on accuracy, published December 9, 2021, Illumina, https://www.illumina.com/science/genomics-research/articles/dragen-demystifying-reference-genomes.html

[17] FamilyTreeDNA, Wikipedia, This page was last edited on 14 November 2025 , https://en.wikipedia.org/wiki/FamilyTreeDNA

[18] The following is a comparative table of DNA database sizes by test type and company, based on the most recent data when the story was written (2025โ€“2026):

DNA Database Size Comparison by Test Type

CompanyAutosomal DNA(Family Finder/AncestryDNA)Y-DNA (Paternal Line)mtDNA (Maternal Line)Notes
AncestryDNA27โ€“28+ million Not offeredNot offeredLargest autosomal database globally; no Y-DNA or mtDNA testing 
23andMe~14 million (11.1M with matching) No matching (haplogroup only)No matching (haplogroup only)2nd largest autosomal; caps matches at 1,500 without subscription 
MyHeritage~9.6 million Not offeredNot offered3rd largest autosomal; strongest in Europe 
FamilyTreeDNA (FTDNA)~1.7โ€“2 million World’s largest (847,000+ variants, 90,000+ branches) World’s largest (millions of data points, 54,000+ branches) Only company offering all 3 test types; largest Y-DNA & mtDNA for research 
Living DNANot published (smallest) No matching (haplogroup only)No matching (haplogroup only)Best for British Isles detail; no matching database 
GEDmatch
(upload site)
~2โ€“3 million (uploads) Yes (uploads)Yes (uploads)Aggregates uploads from all companies; not a testing company

Key Takeaways:

Purpose‘Best’ CompanyWhy
Autosomal matches
(finding relatives)
AncestryDNA27โ€“28M+ testers = most matches 
Y-DNA research 
(paternal lineage)
FamilyTreeDNAOnly company with dedicated Y-DNA testing + largest haplotree 
mtDNA research 
(maternal lineage)
FamilyTreeDNAOnly company with matching mtDNA database + largest haplotree 
European ancestryMyHeritageStrongest European user base (9.6M total) 
Health + ancestry23andMe or Living DNAOnly 23andMe & Living DNA offer health reports 

Sources for the tables:

Peruncic, Kristina, 8 Best DNA Test Kits in 2026 (Ancestry, Health, and More),4 Mar 2026, DNAWeekly, https://www.dnaweekly.com

Peruncic, Kristina , FamilyTreeDNA vs. Ancestry 2026: Which DNA Test is Best?, 4 Mar 2026, DNAWeekly, https://www.dnaweekly.com/blog/familytreedna-vs-ancestry/

Southard, Diahan, Best DNA Test for Genealogy, 1 Dec 2025, Your DNA Guide, https://www.yourdnaguide.com/ydgblog/best-dna-tests-ancestry

MCDowell, Martin, How big is the FamilyTreeDNA database?, 14-15 Feb 2020, Genetic Genealology Ireland, https://ggi2013.blogspot.com/2020/02/how-big-is-familytreedna-database.html

Larkin, Leah, Database Sizesโ€”March 2026, 14 Mar 2026, The DNA Geek, https://thednageek.substack.com/p/database-sizesmarch-2026

Hill, Richard, The Best DNA Testing Companies, DNA Favorites, 22 Apr 2026, https://www.dnafavorites.com/best-dna-testing-companies.html

FamilyTreeDNA, Wikipedia, This page was last edited on 16 April 2026, https://en.wikipedia.org/wiki/FamilyTreeDNA

Ancestry.com, Wikipedia, This page was last edited on 27 March 2026, https://en.wikipedia.org/wiki/Ancestry.com

Myheritage, Wikipedia, This page was last edited on 3 April 2026, https://en.wikipedia.org/wiki/MyHeritage

23andMe, Wikipedia, This page was last edited on 13 April 2026, https://en.wikipedia.org/wiki/23andMe

LivingDNA, Wikipedia, This page was last edited on 4 March 2026, https://en.wikipedia.org/wiki/Living_DNA

GEDMatch, Wikipedia, This page was last edited on 14 November 2025, https://en.wikipedia.org/wiki/GEDmatch

FamilyTreeDNA vs. 23andMe: A detailed comparison of genetic testing services, 1 Jan 2025, Nucleus, https://mynucleus.com/blog/family-tree-dna-vs-23andme

Russell, Judy, Building that mtDNA database, 30 May 2021,  , The Legal Genealogist, building-that-mtdna-database

The Worldโ€™s Largest mtDNA Haplotree, 14 Apr, 2026, FamilyTreeDNA Blog, https://blog.familytreedna.com/largest-mtdna-haplotree/ 

FamilyTreeDNAโ€™s Y-DNA Haplotree: 90,000 Branches and Counting, 1 May 2025, FamilyTreeDNA Blog, https://blog.familytreedna.com/ydna-haplotree-90000-branches/

The Worldโ€™s Largest Y-DNA Haplotree, 1 Apr 2026, FamilyTreeDNA Blog, https://blog.familytreedna.com/largest-y-dna-haplotree/

[19] CLIA-certified and CAP-accredited laboratories are clinical laboratories that meet both the federal standards from the Clinical Laboratory Improvement Amendments (CLIA) and the more stringent, voluntary requirements set by the College of American Pathologists (CAP). This dual certification indicates a high level of quality, accuracy, and reliability in laboratory testing, as CAP accreditation is considered to meet and often exceed the federal CLIA requirements. 

CLIA (Clinical Laboratory Improvement Amendments)

  • What it is: Federal regulations that establish quality standards for all U.S. laboratories that test human samples for health assessment.
  • Purpose: To ensure the accuracy and reliability of diagnostic testing and to safeguard patient privacy.
  • Oversight: Administered by a partnership of the FDA, CDC, and CMS.
  • Requirement: Laboratories must be CLIA-certified to accept human samples for testing. 

Clinical Laboratory Improvement Amendments (CLIA), 17 Jul 2023 U.S. Food and Drug Administraiton, https://www.fda.gov/medical-devices/ivd-regulatory-assistance/clinical-laboratory-improvement-amendments-clia

CAP (College of American Pathologists) Accreditation 

  • What it is: A voluntary accreditation program that is internationally recognized for its high standards.
  • Purpose: To ensure that laboratory test results are accurate and reliable by assessing adherence to rigorous scientific and quality standards.
  • Oversight: Conducted by the CAP, which uses its own extensive checklists and detailed requirements that are updated annually.
  • Requirement: Laboratories must meet the standards of their own accreditation, which include detailed requirements for things like test validation, quality control, and proficiency testing.
  • Relationship to CLIA: CAP accreditation fulfills all federal CLIA certification requirements, and laboratories that are CAP-accredited automatically meet the CLIA standards. 

College of American Pathologists, Wikipedia, This page was last edited on 11 November 2025, https://en.wikipedia.org/wiki/College_of_American_Pathologists

At FamilyTreeDNA, we value and prioritize your privacy and the security of your data as much as you do. Rest assured that we have extensively invested in safeguarding your account and personal information through multiple layers of encryption. Additionally, we take pride in owning and operating our own lab, which ensures that all testing is conducted in our CLIA-certified, CAP-accredited laboratory based in the United States.

Ensuring your privacy & protection in our in-house lab, FamilyTreeDNA, https://www.familytreedna.com/

[20] Autosomal DNA tests are the most popular genealogy tests that analyze 22 pairs of chromosomes (autosomes) inherited from both parents, providing a comprehensive, gender-neutral overview of recent ancestry. Key uses include finding relatives (first through tenth cousins), determining ethnic percentages, and identifying genetic health markers.

Rowe-Schurwanz, Katy, What is Autosomal DNA? Beginner Guide to DNA Inheritance, 9 Apr 2026, FamilyTreeDNA Blog, https://blog.familytreedna.com/what-is-autosomal-dna/

[21] Y-DNA testing analyzes two main marker types on the Y-chromosome: STRs for recent paternal ancestry and SNPs for ancient lineage. STRs (Short Tandem Repeats) are fast-mutating markers (37โ€“700+ tested) are used to find close matches and surnames within genealogy timeframes. SNPs (Single Nucleotide Polymorphisms) are stable, rare mutations used to define haplogroups (deep ancestry) and identify exact branches on a family tree.

Historically FTDNA has offered multiple STR-only Y panels at different marker counts; currently the main marketed levels are Y-37, Y-111, and Big Y-700 (which also includes STRs).

Test TypeCharacteristics
Y-12 (legacy)Very small 12-marker panel; now functionally obsolete for serious genealogy and no longer sold as a standalone product. Useful only for very broad surname/lineage โ€œis this even in the ballpark?โ€ checks.
Y-25 and Y-67 (legacy, now discontinued)Intermediate STR panels that once sat between 12/37 and 37/111; FTDNA discontinued them in 2019. Existing customers can still hold these results, but they are no longer orderable as new tests.
Y-37 (entry-level STR)Tests 37 Y-STR markers; matching is based on genetic distance across these 37 markers. Positioned as a basic test to find whether two men are likely related on the direct paternal line, but many matches will be quite distant chronologically.
Y-111 (advanced STR)Tests 111 STR markers; includes and extends the Y-37 panel. Allows finer discrimination of which of your 37-marker matches are truly close versus sharing a more remote ancestor, because there are more loci at which differences can appear.
Big Y-500 / Big Y-700 (sequence-based, SNP + STR)Big Y-500 (legacy): Early NGS product adding ~500โ€“600 STRs above Y-111 and several hundred thousand to over a million SNP positions.
Upgraded from earlier โ€œBig Yโ€ around 2018.

Big Y-700 (current): Launched in 2019 with ~50% more SNP coverage than Big Y-500 and up to ~700โ€“868 STRs total, including the standard 111 STR panel (only the first 111 count for STR matching).

Both tests produce a very high-resolution terminal SNP/haplogroup placement (down to very young branches). A Big Y match list based on shared derived SNPs, often informative for splits in the last 500โ€“1500 years depending on lineage.

Estes, Roberta, STRs and SNPs โ€“ Are STR Markers Still Useful for Y DNA?, 3 Dec 2021, DNAeXplained – Genetic Genealology, https://dna-explained.com/2021/12/03/strs-and-snps-are-str-markers-still-useful-for-y-dna/

GeneaVlogger, DNA: SNP vs STR with Zach Gordon, 21 Aug 2017, Youtube , https://www.youtube.com/watch?v=hiooGmxzJAs&t=29s

A Comparison of Our Y-DNA Tests, FamilyTreeDNA Help Center, https://help.familytreedna.com/hc/en-us/articles/5579319716111-A-Comparison-of-Our-Y-DNA-Tests

Rowe-Schurwanz, Katy, What is Autosomal DNA? Beginner Guide to DNA Inheritance, 9 Apr 2026, FamilyTreeDNA Blog, https://blog.familytreedna.com/what-is-autosomal-dna/

[22] Mitochondrial DNA (mtDNA) tests analyze DNA inherited exclusively from the mother to trace direct maternal ancestry, identify deep ancestral origins, or diagnose genetic disorders. Because mtDNA changes very slowly and passes unchanged from mothers to all children, it is used for determining if individuals share a common maternal ancestor.

Mitochondrial DNA tests, This page was last edited on 11 October 2025, International Society of Genetic Gnealology Wiki, https://isogg.org/wiki/Mitochondrial_DNA_tests

[23] See for more information:

Connect and collaborate with genealogy enthusiasts. FamilyTreeDNA, https://www.familytreedna.com/group-project

Introduction to Group Projects, FamilyTreeDNA Help Center, https://help.familytreedna.com/hc/en-us/articles/4503173806351-Introduction-to-Group-Projects

Group Project Participation Informed Consent, 5 Jun 2018, FamilyTreeDNA, https://www.familytreedna.com/legal/terms/group-project-participation/06052018

Unkefer, Rachael, Four Types of Group Projects You Should Join, 23 Jul 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-project-categories/

Estes, Roberta, Project Groupings and How to Get the Most Out of Projects at Family Tree DNA, 21 May 2018, DNAeXplained – Genetic Genealology, https://dna-explained.com/2018/05/21/project-groupings-and-how-to-get-the-most-out-of-projects-at-family-tree-dna/

Estes, Roberta, FamilyTreeDNA Provides Y DNA Haplogroups from Family Finder Autosomal Tests, 30 Nov 2023, DNAeXplained – Genetic Genealogy, https://dna-explained.com/2023/11/30/familytreedna-provides-y-dna-haplogroups-from-family-finder-autosomal-tests/

Cloud, Janine, Which Group Projects Should You Join?, 18 Jan 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-project-types/

[24] Unkefer, Rachael, Four Types of Group Projects You Should Join, 10 Jul 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-project-categories/

Cloud, Janine, Which Group Projects Should You Join?, 18 Jan 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-project-types/

Introduction to Group Projects, FamilyTreeDNA Help Center, https://help.familytreedna.com/hc/en-us/articles/4503173806351-Introduction-to-Group-Projects

[25] The Group Time Tree: A New Big Y Tool for FamilyTreeDNA Group Projects, 15 Feb 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-time-tree/

[26] FTDNA describes these as geographic projects that โ€œcombine Y and mtDNA, and often Family Finder, for a comprehensive look at the genetic ancestry of a location,โ€ which can range from an entire country down to a county, city, or shtetl.

ISOGGโ€™s description, explicitly referencing FTDNA-hosted projects, defines a dual geographical DNA project as one that studies Y-DNA of men and mtDNA of both men and women from a specific location, sometimes with additional limits on surnames, heritage, or haplogroups; many such projects also collect autosomal data.

Core characteristics:

  • Geographic focus: Membership is tied to ancestral roots in a defined place (e.g., a river basin, region, or country), not to one surname or single haplogroup, and can be as fine-grained as a small locality or as broad as a national project.
  • Dual (or tri-) modality: By design, they integrate paternal lines (Y-DNA) and maternal lines (mtDNA); project descriptions often also invite Family Finder results to produce a more holistic picture of the regionโ€™s genetic structure.
  • Examples in practice: ISOGG notes projects like the Alpine DNA Project and the New Zealand Dual Geographic Project at FTDNA, which accept Y-DNA, mtDNA, and atDNA, illustrating the model in live FTDNA projects.

Connect and collaborate with genealogy enthusiasts., FamilyTreeDNA, https://www.familytreedna.com/group-project

Geographical DNA projects, This page was last edited on 21 May 2024,  Internaltional Society of Genetic Genealology Wiki, https://isogg.org/wiki/Geographical_DNA_projects

Dual geographical DNA project, This page was last edited on 31 December 2019,, International Society of Genetic Genealology Wiki, https://isogg.org/wiki/Dual_geographical_DNA_project

[27] Unkefer, Rachel, Four Type of Groups You Should Join, 10 Jul 2023, FamilyTreeDNA Blog, https://blog.familytreedna.com/group-project-categories/

Estes, Roberta, How to Join a Project at FamilyTreeDNA โ€“ And Why You Want To, 9 Nov 2021, DNA-eXplained – Genetic Genealogy, https://dna-explained.com/2021/11/09/how-to-join-a-project-at-familytreedna-and-why-you-want-to/

[28] See for example: 

J. David Vance, J. David. “DNA Concepts for Genealogy: Y-DNA Testing Part 1.” YouTube, Oct 10 2019. https://www.youtube.com/watch?v=RqSN1A44lYU

Vance. “DNA Concepts for Genealogy: Y-DNA Testing Part 2.” YouTube, Oct 10 2019.
https://www.youtube.com/watch?v=mhBYXD7XufI

Vance. “DNA Concepts for Genealogy: Y-DNA Testing Part 3.” YouTube, Oct 10 2019.
https://www.youtube.com/watch?v=03hRXVg9i1k

Vance. “Automated from STRs, SNPs & Genealogies.” Genetic Genealogy Ireland 2017. YouTube. https://www.youtube.com/watch?v=2l8q2BJdTWI

Vance. “Vance/Vans/Wentz DNA Project Update October 2019.” YouTube, Oct 2019.
https://www.youtube.com/watch?v=5OIG_YHArB8

Vance. “The Case of the Clergyman’s Arms.” FamilyTreeDNA Blog, Jul 22 2024.
https://blog.familytreedna.com/case-clergymans-arms/

FamilyTreeDNA Blog. “Dave Vance Named FamilyTreeDNA General Manager.” Nov 27 2024.
https://blog.familytreedna.com/dave-vance-named-familytreedna-general-manager/

DNAeXplained (Roberta Estes). “Dave Vance Joins FamilyTreeDNA as Senior VP and General Manager.” Dec 3 2024.
https://dna-explained.com/2024/12/03/dave-vance-joins-familytreedna-as-senior-vp-and-general-manager/

Vance. The Genealogist’s Guide to Y-DNA Testing for Genetic Genealogy. 2020. Amazon/Kindle.
https://www.amazon.com/dp/B085HFBFD5

[29] Griffi(th)(n)(s)(ng), Background, FamilyTreeDNA, https://www.familytreedna.com/groups/griffith/about/background

[30] G-L497 Y-DNA, Background, FamilyTree, https://www.familytreedna.com/groups/g-ydna/about/background

[31] Welsh Patronymics, Background, FamilyTreeDNA, , https://www.familytreedna.com/groups/welsh-patronymics/about/background

[32] Wales Cymru DNA, Background, FamilyTreeDNA, https://www.familytreedna.com/groups/wales-dna/about

[33] 1 Feb 2022, email from Thomas Weaver to Jim Griffis, Subject: G-Z6748 and your Griffith/Griffis line

[34] 2 Feb 2022, email from Thomas Weaver to Jim Griffis, Subject: Re: G-Z6748 and your Griffith/Griffis line

[35] David Vanceโ€™s program is called SAPP โ€“ Still Another Phylogeny Program. It is a Y-DNA phylogeny builder that takes SNP and match data (especially Big Y) and infers a branching tree for a patrilineal cluster.

David Vance, The Life of Trees   (Or:  Still Another Phylogeny Program), https://www.jdvsite.com

[36] See: Rowlands, John and Sheila,The Use of Surnames Chapter Four, Patronymic Naming – A survey in Transition, Llanysul, Ceredigion: Gomer Press 2013

[37] As of the writing of this story, there were 153 FTDNA DNA testers that could trace their YDNA back to G-Z6748.

Your Haplogroup Story: G-Z6748, FamilyTreeDNA, Accessed 1 Apr 2026, https://discover.familytreedna.com/y-dna/G-Z6748/story

The Significance of Haplogroup G-Z6748 and its Descendants: Bottlenecks, Migration, Founder Effects and Star-Like Expansion (Part One)

The most recent common ancestor (MRCA) of the G-Z6748 haplogroup [1] and its descendants presents a compelling case study in the interplay between population bottlenecks, migration and the proliferation of generations. Specifically, the ancestor of G-Z6748 and his descendents provide examples of historic demographic bottlenecks, the migration across the North Sea to the English Island in the early medieval Northwestern Europe, and the subsequent founder-effect population expansion of this YDNA genetic lineage around the time of the Norman invasion.

This story focuses on this YDNA path through the view of the changes in the phylogenetic tree structure [2] of the paternal descendants, the subcludes or branches of this haplogroup and its connection with the Griff(is)(es)(ith) lineage. [3] This is a challenging but intellectually productive story โ€” one that requires integrating Y-DNA phylogenetics, population genetics theory, medieval social history, and landscape archaeology. Because this YDNA genetic line is a deep subclade without dedicated academic research, the scenario developed below is explicitly inferential and heuristic, built from convergent lines of evidence. It should be treated as a working hypothesis amenable to refinement as more BigY-tested descendants are added to the FamilyTreeDNA G-Z6748 haplogroup project. [4]

The MRCA associated with this YDNA haplogroup has a special significance for the Griff(is)(es)(ith) genetic paternal line as a direct paternal ancestor. In addtion, a small group of roughly 150 FamilyTreeDNA (FTDNA) YDNA testers can trace their paternal lines to this ancestor. [5]

A Comment on Phylogenetic Trees and Explaining Social Context

While I introduce and discuss socio -historical information to provide context to the changes in the phylogenetic tree structure of the descendants of G-Z6748, this merely provides a descriptive historical association between the two; and not necessarily inferences of causation.

“(G)eneticists are interested in ancestry, while archaeologists are interested in ethnicity: it is the bones, not the burial rites, which are important in the present context.[6]

Geneticists are tracking ancestry, while archaeologists and historians often talk about ethnicity or other types of social groups. The two do not map oneโ€‘toโ€‘one, which makes the analysis of changing social groups and phylogenetic genetic trees over time particularly vulnerable to mis-interpretation when translated directly into population โ€‘ genetic models. While I attempt to provide historical social and cultural contexts and possible associations with the changing structure of phylogenetic trees, it is important not to assume causal relationships necessarily between the two.

Another significant fact associated with this most recent common ancestor of G-Z6748 is that one of his genetic descendants is the first to migrate from continental Europe to the eastern coast of East Angles on the British Isle (see illustration one). [7] This is a classic example of a founder effect for a lineage based on migration. Other descendants may have migrated to Denmark and possibly the coastal areas of what are now Belgium or France. [8]

Illustration One: Estimated Migratory Path for Most Recent Common Ancestors of G-Z6748, G-Y38335 and G-Z40857

Click for Larger View | Source: Modification of Globetrekker Map of Estimated Location of G-Z6748, G-Y38335, and G-Z40857, FamilyTreeDNA

Bottlenecks, Founder Effects, and Star Like Expansions

In Y-DNA phylogenetics, ‘bottlenecks‘, ‘founder effects‘, and ‘star-like expansions‘ are interconnected phenomena that describe how paternal lineages lose diversity and then rapidly multiply, often reflecting or coinciding with major social or demographic shifts. Table one below provides a comparison of defining aspects for each of these macroscopic demographic genetic patterns with examples associated with haplogroup G-Z6748.

Table One: Demographic Bottlenecks, Founder Effects and Star-Like Expansion

Defining AspectDemographic / Genetic BottleneckFounder EffectStar-Like Expansion
What happensPopulation groups or haplogroups sharply reduce in size.New population founded by a few individuals from a larger population source.It usually signals a “founder lineage,” where one man or a small group of related men had high reproductive success, with their descendants spreading through new subclades and geographical area.
Original populationOften reduced or partially destroyed; YDNA diversity is lost in the remaining population.Source population usually continues to exist with its original diversity; only the offshoot has drifted.A single ancestral male lineage branches out into numerous, closely related subclades (branches) within a very short period.
Genetic outcomeLower diversity & altered allele frequencies in the post-bottleneck population as a whole. [9] Lower diversity & altered allele frequencies primarily in the founded group & its descendants.Descendants differ by small number of SNPs / STRs from the common ancestor; Short genetic branch lengths = recent, explosive expansion.
ExamplesThe enduring impact of migrating groups associated with the Corded Ware & Bell Beaker cultures (associated with the R haplogroup) on limiting the proliferation of the indigenous social groups associated with G2a haplogroup. (e.g. the descendants of G-L497).
‘Pockets’ of European G haplogroup descendants of G-L497 survive; either become socially assimlated in dominant (R haplogroup) social groups or migrate to isolated areas. (e.g. the MRCA of G-Z6748).

The descendants of the MRCA of G-Z40857, a descendant of G-Z6748, genetically branched into five haplogroup subcaldes G-Y132505, G-FT21948, G-Z480859, G-Y132507, & G-FT349294 before & after the Norman Invasion into an area now known as Wales.
ExamplesThe Roman occupation of northwestern continental Europe on limiting the proliferation of G haplogroup subclades in susequent European generations. (e.g. the ancestors of G-Z6748).The MRCA of G-Y38335, a descendant of G-Z6748, migrating to British Isle, establishing a ‘founder effect’ from G-Z66748 YDNA lineage.

Genetic drift is the overarching evolutionary mechanism, while genetic bottlenecks and founder effects are specific scenarios that dramatically amplify its impact. The fundamental difference between these phenomena lies in their triggering mechanisms rather than their genetic consequences. Bottlenecks result from environmental, social or cultural causes that reduce an existing population while founder effects arise from migration, colonization or isolation events – separating a portion of a population from the main population..

Both create the small population conditions that make genetic drift a dominant evolutionary force, leading to reduced genetic diversity and the potential for greater vulnerability to extinction or genetic disorders. Demographic genetic bottlenecks and founder effect expansions are both situations where a population or genetic group passes through a phase of very small size, so chance (genetic drift) strongly reshapes its genetic variation, often leaving lasting, highly distinctive signatures in the descendant population. [10]

Genetic drift is a mechanism of evolution characterized by random, chance fluctuations in genetic composition (allele frequencies or base pairs in the YDNA chromosome) within a population over generations. [11] Unlike natural selection, it is not driven by environmental adaptation but by sampling error, often causing certain genes to become more common or disappear entirely. It affects all populations but has the strongest impact on small groups. [12]

genetic bottleneck is a sharp reduction in the number of reproducing males in a population, drastically reducing YDNA diversity. [13]founder effect occurs when a small subgroup or a male individual breaks off from a larger group to establish a new community, carrying only a fraction of the original genetic diversity. [14]

A genetic bottleneck reduces genetic haplotype diversity by drastically decreasing population size, leading to the random loss of rare haplotypes and fixing a small subset of the original genetic variation. This process increases genetic homogeneity and can result in a new population with unique haplotype frequencies compared to the original population. A Y-DNA haplotype is a set of numerical values (alleles or base pairs of chromosomes) representing specific markers on a male’s Y-chromosomeโ€”primarily Short Tandem Repeats (STRs)โ€”that form a “genetic signature” inherited from father to son (see illustration two). [15]

star-like expansion is a phylogenetic tree pattern where many descendant haplotypes ‘radiate’ from a single ancestor with very few mutations between them, thus forming a “star” shape on the phylogenetic tree. In reality, it may not look literally like a star shape when depicted as a phylogenetic tree and when adding geographical locations of the newly formed branches of the tree. These expansions often appear during or after bottlenecks, as the few surviving lineages rapidly multiply to fill ecological / social niches. (see illustration two below). [16]

The typical pattern of this process involves:

  1. bottleneck that reduces most or specific YDNA male lineages;
  2. The few surviving males act as founders for subsequent populations or population subgroups;
  3. If one founder or group of founders has a social/ reproductive advantage (e.g., elite status, territorial expansion, periods of prosperity), his lineage or specific lineages undergo a star-like expansion; and
  4. This may result in the proliferation of closely related subclades radiating from a recent common ancestor.

Illustration Two: Process Outcomes of Genetic Bottleneck, Founder Effects and Statr-Like Expansion

Click for Larger View | Source: James Griffis, The Significance of Haplogroup G-Z6748 and its Descendants: Bottlenecks, Migration, Founder Effects and Expansion, Griffis Family: Selected Stories from the Past

This pattern may provide telltale evidence of cultural hitchhikingโ€”where YDNA lineages spread not just through biology but through effects of social structures like patrilocality, polygyny, or warrior elites. Cultural hitchhiking in genetic research refers to the process by which culturally or genetically neutral traits โ€” ones that offer no inherent advantage on their own โ€” spread through a population simply because they are carried alongside advantageous traits or successful groups. An example of a ‘culltural neutral trait’ is a beneficial technology or a superior subsistence strategy (e.g. farming) or a powerful social organizational practice such as patrilineal marriage practices. [17]

G-Z6748: A Minority Lineage with an History of Successive Genetic Bottlenecks

Haplogroup G-Z6748 is a relatively rare, minority Y-DNA lineage characterized by a series of significant evolutionary bottlenecks. The haplogroup descends from the broader YDNA G-L497 branch. The Y-DNA haplogroup branch G-L497 (also known as G2a3b1c) is heavily concentrated in Central and Western Europe, with its deepest historical roots pointing to the Eastern Alps and the Danube Basin. Geneticists often associate G-L497 with the initial spread of agriculture from the Balkans into Central Europe, notably linked to the Linear Pottery culture (LBK). During the Bronze and Iron ages, the branch is strongly tied to Alpine and Central European populations. Ancient samples have been identified in the Hallstatt and La Tรจne Celtic cultures, as well as Etruscan and subsequent Germanic groups. [18]

In Europe west of the Black Sea, Haplogroup G is found at about 5% of the population on average throughout most of the continent. The concentration of G falls below this average in Scandinavia, the westernmost former Soviet republics and Poland, as well as in Iceland and the British Isles. There are seeming pockets of unusual concentrations within Europe. In Wales, a distinctive G2a3b1 (Haplogroup G-P15) type (DYS388=13 and DYS594=11) dominates there and pushes the G percentage of the population higher than in England.[19]

Haplogroup G-P303 (G2a2b2a, formerly G2a3b1) is a Y-chromosome haplogroup. . . . This haplogroup represents the majority of haplogroup G men in most areas of Europe. . . .[20]

The genetic descendants of Haplogroup Gโ€‘Z6748 are considered ‘rare’ or a minority genetic YDNA group because of their representation today and in the last 1,300 years. It represents a small, very geographically concentrated descendant cluster with a relatively few known sub-branches and YDNA testers. [21]

As discussed in prior stories, there is roughly a 2,850โ€‘year phylogenetic gap (about 95 generations) between the MRCA of G-Z6748 and its most recent documented ancestor associated with haplogroup G-FGC7516. (See illustration three below). There are no documented surviving intermediate branches. The gap implies strong bottlenecking or loss of parallel lineages, leaving only a very narrow path into the present (see table one, rows 3 and four). [22]

Table One: YDNA Ancestral Path between G-PF3345 and G-Z40857

HaplogroupEstimate of
when MRCA
was born
Time Passed
from Prior Haplogroup
Immediate Documented DescendantsNumber of
FTDNA Tested Modern Descendants
G-Z40857950 CE250 years460
G-Y38335700 CE<100 years262
G-Z6748650 CE2,850 years2153
G-FGC75162200 BCE<100 years6292
G-FGC4472250 BCE250 years2312
G-Z7272500 BCE550 years35,478
G-Z18173050 BCE900 Years25,551
G-Z69013950 BCE700 years15,620
G-Z19004650 BCE300 years25,806
G-CTS97374950 BCE600 years15,906
G-L4975550 BCE3,500 years26,063
G-PF33459050 BCE<100 years1110,943
Source: Ancestral Path for G-Z40857, FamilyTreeDNA, accessed 4 May 2026, https://discover.familytreedna.com/y-dna/G-Z40857/path

As reflected in table one, column four, the number of documented immediate genetic descendants for many of the haplogroups descending from the MRCA of G-L497 are few. With the exception of six documented haplogroup branches descending from G-FGC7526, the number of phylogenetic branches are limited to three or fewer descendants. Many of these haplogroups have gaps between them that are over 600 years or over 20 generations (see column four in table one).

The MRCA of haplogroup G-FGC7516 is estimated to have been born around 2200 BCE (row four in table one) with six documented genetic descendants. Around 2200 BCE, the Rhine River valley was dominated by communities of the Bell Beaker culture, which were rapidly transitioning into the early รšnฤ›tice culture. This period marked a major shift across Europe, bringing an emphasis on bronze metallurgy and wide-ranging trade networks. It is an area that descendants of G-FGC7516 may have lived (see illustration three).

The Bell Beaker Culture operated as highly mobile networks rather than a single unified civilization, focusing heavily on the trade of copper, tin, and gold across the river valleys. Emerging around 2200 BCE, the รšnฤ›tice culture represented the dawn of the Central European Early Bronze Age. The รšnฤ›tice people were the first highly stratified societies in the region. They controlled highly profitable trade routes, using the Rhine to transport raw metals and manufactured goods across the continent. [23]

Ancient DNA studies in the Lower Rhine region have shown that this era featured a major shift in the population’s genetic makeup, with newcomers from the east bringing significant steppe ancestry (predominantly YDNA R- haplogroup influence) into local communities.  [24]

Illustration Three: Estimated Migratory Path from G-FGC7516 to G-Z6748

Click for Larger View | Source: Modification of Map generated by Globetrekker Discovery Tool for Estmated Migratory Path to G-Z6748 from G-FGC7516, Globetrekker, FamilyTreeDNA, accessed 5 May 2026

The tail end of this 2,850โ€‘year phylogenetic gap reflected the repressive effects of the subjugation of indigienous social groups by the Roman Empire. This undoubtably further impacted the limited growth of the YDNA generations associated with this lineage. [25]

In Y-DNA phylogenetics, a tree characterized by three or fewer subclades branching off in successive generations over long periods suggests a prolonged, severe population bottleneck or a prolonged period of extremely low effective population size for the direct patrilineal lineage. When a lineage survives but its population numbers collapseโ€”or stay critically low for a millenniaโ€”the amount of surviving male-line diversity drops sharply. Instead of a bush-like tree (where one father has many sons who all leave surviving lineages), you get a “rake-like” or ladder-like structure. Only one or two surviving lines proceed into the next generation. This linear sequence rules out sudden, explosive population expansions, pointing instead to steady, isolated survival. [26]

Migration to East Anglia, Founder Effects and Continuation of Constrained YDNA Lineages

As indicated in a prior story, a plausible narrative is that a male individual and possibly his family, who was a most recent common ancestor associated with haplogroup G-Z6748, living in the Wadden Seaโ€“Texel zone around the late seventh century, utilized established Anglo-Saxon-Frisian dominated North Sea trading networks to migrate to East Anglia. The individual or small group moved by sea along established routes from the Dutch/North Frisian islands to the eastern shoreline of the island and ultimately settled in East Angles. [27]

This most common recent ancestor associated with haplogroup G-Y38335 migrated from the continental coast or was born in East Anglia. His estimated birth date is at the turn of the 8th century (see table two). [28] His descendants represent virtually all of the presently known, discovered downstream haplogroups of G-Z6748 that are identified in Great Britain.

Table Two: Estimated Birth Dates of the MRCAs for G-Z6748, G-Y38335 and G-Z40857 [29]

Estimated Birth DateG-Z6748
Frisian Area
G-Y38335
East Anglia Area
G-Z40857
Sourthern Wessex Area
Mean668 CE711 CE971 CE
68% Confidence Interval 542 – 792 CE570 – 832 CE855 – 1070 CE
95 % Confidence Interval 380 – 908 CE428 – 946 CE739 – 1163 CE

This is a classic example of a founder effect based on migration. Various studies underscore that this single migratory path for the G-Z6748 lineage was part of a larger continuing migratory population movement of people from across the North Sea to Britain that spanned centuries.

A growing body of bioarchaeological and archaeological work now emphasizes that migration into England from across the North Sea and wider northโ€‘west Europe was a persistent feature of the period from the later Roman empire through the eleventh century. Recent largeโ€‘scale enamelโ€‘isotope analysis of more than 700 individuals buried in England between the fourth and eleventh centuries has demonstrated continuous inโ€‘migration from continental and extraโ€‘local regions, with a notable increase in mobility in the seventhโ€“eighth centuries, and has explicitly argued that โ€œmigration was a consistent feature of England between the 4th and the 11th centuries.โ€ [30]

This isotopic work dovetails with wider projects on the medieval migrants of the North Sea world, which frame the North Sea basin as a longโ€‘term zone of demographic and cultural connectivity from the postโ€‘Roman period into the later Middle Ages, and builds on more traditional accounts of the Migration Period that already recognize substantial fifthโ€‘ and sixthโ€‘century crossings of the North Sea by Germanicโ€‘speaking groups into Britain. [31]

A study by Leggett, Hakenbeck, and Oโ€™Connell push Anglo-Saxon โ€œsettlementโ€ history away from what had traditionally been viewed as a short, fifthโ€‘century ethnic migratory event and towards a long, regionally varied, gendered process of mobility and community formation. By extending well beyond the usual โ€œMigration Periodโ€ associated with the Anglo-Saxon influx [32] , they show that migration remains substantial into the seventhโ€“eighth centuries and through the Viking and Norman eras, reframing early medieval England as a persistently mobile society. [33]

Migration into East Anglia in this period overwhelmingly involved sea or coastal riverine movement rather than long overland treks. Modelling of early medieval migration routes and the broader archaeological pattern point to repeated crossings in relatively small vessels, not single armadas: groups of warriors, traders, craftsmen, dependants and some families moving along familiar seaways. [34]

In addition to the limiting founder effects of migration on the genetic diversity for subsequent generations, several interacting social processes during this time period could have created strong successive genetic bottlenecks on particular Yโ€‘DNA lineages that migrated into Britain, especially in eastern and southern England. These processes could have sharply magnified a few male lines while eliminating many others, even when total population size is not tiny. [35]

The following are possible social processes that may have contributed to continued bottlenecks associated with the G-Y38335 lineage:

1. Founder effects in small kinโ€‘based groups

Migration was often organized around extended families or warbands, not random samples of whole source populations. If a settlement is founded by a handful of related males (for example, several brothers and their close agnates), their Y lineages can rapidly dominate the local male pool purely by descent over a few generations. Repeated โ€œpatchyโ€ colonization along river valleys and coasts (Thames, Humber, East Anglia, etc.) means many local founder events in different microโ€‘regions, each amplifying a narrow subset of continental Y lineages. [36]

2. Inter-group conflict, elite success, and differential male survival

The period was marked by endemic local conflicts, struggles between indigenous and incoming groups, and later interโ€‘kingdom competition. If certain male lineages were overโ€‘represented in militarily successful groups (early royal/elite kindreds, successful warbands), those lines would experience higher survival of male offspring, more captured land, and greater reproductive opportunity, while defeated lineages could be reduced or wiped out. Over time, repeated โ€œwinners keep reproducingโ€ episodes generate classic maleโ€‘line bottlenecks: a few successful patrilines expand, many others contract or vanish, even if autosomal diversity remains quite high.

Several interacting processes in the fifthโ€“ninth centuries could create strong genetic bottlenecks in particular Yโ€‘DNA lineages that migrated into Britain, especially in eastern and southern England. These processes can sharply magnify a few male lines while eliminating many others, even when total population size is not tiny. [37]

3. Social structure and patrilineal reproduction bias

Early medieval Germanic societies were strongly patrilineal and patrilocal: inheritance, identity, and land passed mainly through male lines, and wives often moved to the husbandโ€™s community. Highโ€‘status males could support more surviving children, so their Y lineages disproportionately increase in frequency. Lowโ€‘status or landโ€‘poor males might delay marriage, remain celibate, or lose children at higher rates, leading to gradual loss of their lines. [38]

4. Serial admixture but constrained male lines

Early medieval England shows repeated waves of gene flow: North Sea migrants, plus later streams of ancestry related to Iron Age France and continued continental contacts. Admixture, the process by which individuals or populations acquire genetic material from different ancestral sources, can increase autosomal diversity but actually tighten Y bottlenecks if the incoming men are few but highly successful, or if later waves intermarry into already dominant male lineages rather than introducing many new patrilines. Over centuries, this creates a pattern where autosomal DNA records complex mixing, but Yโ€‘DNA is dominated by a limited set of โ€œsurvivorโ€ lineages (for example, I1 and R1a lines rising in early medieval England amid decline of older R1bโ€‘L21 lines in the east). [39]

5. Genetic drift in small small open populations

Early medieval settlement was highly local: villages and estates functioned as semiโ€‘isolated groups where most marriages occurred within a short radius. In such small male breeding populations, random genetic drift is strong; a Y lineage can fix or disappear in a few dozen generations purely by chance, especially after prior founder events. Limited longโ€‘range male mobility (outside warfare and elite networks) allows each microโ€‘region to drift in its own direction, producing sharp local peaks of specific subclades that look like bottlenecks when sampled later. [40]

Continued Bottleneck and Migration: East Anglia to South Wessex

As depicted in illustration four below, between approximately 700 CE and 950 CE, descendants of G-Y38335 migrated from the East Anglia area to the south-central area of Wessex.

Illustration Four: General Migratory Path of MRCA of G-38335 and G-Z40857 (Contemporary Boundaries)

Click for Larger View | Source: James Griffis,The Significance of Haplogroup G-Z6748 and its Descendants: Bottlenecks, Migration, Founder Effects and Star-Like Expansion, Griffis Family: Selected Stories from the Past

This migratory path is only documented by the two endpoint haplogroups. The approximate 250-year gap, or roughly eight generations, spans the period when East Anglia went from an independent Anglo-Saxon kingdom to a Mercian vassal and then to a Danish Danelaw, while Wessex emerged as the safe, dominant kingdom.

Between 700 CE and 970 CE, the map of England transformed from a fragmented collection of rival Anglo-Saxon kingdoms (the Heptarchy) into a largely unified kingdom under the House of Wessex. This transformation was driven by the rise of Mercian, then West Saxon dominance, combined with the catastrophic impact of Viking invasions, which redrew the map of the isle by creating a distinct “Danelaw” region before it was eventually reconquered and consolidated (see illustrations five through ten below).  [41]

One useful way to think about this gap is nothing โ€œgeneticโ€ has gone missing, but the combination of demography, sampling, and social history has produced a long, straight branch with no surviving, sampled offshoots. Several kinds of processes during the East Anglia to Wessex / Danelaw transition could have produced this result. A 250โ€‘year, eight generation stretch with no known sub-branches usually means that parallel male lines either died out or have not yet been sampled, not that they never existed. In a volatile period, several potential causes increase that extinction risk per generation. Because this involves one narrow migratory channel, the genetic signature between origin and destination will look like a long, unbranched trunk: all other โ€œlocalโ€ cousins either stayed put, died out, or remain unsampled.

The endpoints of this gap hint at a story of migration from an East Anglian origin context on one side and later survival in a Wessex-connected setting on the other. The historical record fits a landscape where East Anglia was an early magnet for continental settlers and remained heavily โ€œnorth continentalโ€ in genetic profile, but then came under Mercian influence, then Scandinavian conquest, and finally West Saxon hegemony. Wessex, relatively safer from direct Scandinavian settlement, became the consolidating power and a refuge/attractor for various displaced or mobile families.

Historical Reasons for Migration from East Anglia

Multiple generations could have migrated gradually, or a single family or family member could have fled the Viking conquest of 869โ€“870 and settled in Wessex within a few decades. This migration may have reflected and was influenced by the political shift of the center of power westward to Wessex, which eventually unified the English kingdoms.

Illustrations Five Through Ten: The Changing Political Boundaries of the Britsh Isle


Illustrations Five and Six: British Isles 719 CE and 800 CE (see Note [42] for numbered areas in maps)

Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50
Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50

Illustration Seven and Eight: British Isles 899 CE and 950 CE

Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50
Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50

Illustration Nine and Ten: British Isles: 975 CE and 1066 CE

Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50
Click for Larger View | Source: Ollie Bye,The History of the British Isles: Every Year, May 30, 2020, YouTube,https://www.youtube.com/watch?v=7k9utCpzF50

By the mid-seventh century, the eastern region of Anglia was often under pressure from the growing power of the kingdom of Mercia. While the initial settlement of the G-Z6748 lineage was focused on the east, pressure from Mercian hegemony and later the Danish Great Heathen Army in the late ninth century caused shifts in population movement and loyalty and may have influenced the migration to the south central area of the island. This pattern is reflected in the changing political boundaries in the maps in illustration five through ten. [43]

In 825 CE, East Anglia, seeking independence from Mercia, acknowledged the overlordship of Ecgberht of Wessex. By the late ninth century, Alfred the Great of Wessex secured the region against the Danes, and Edward the Elder later fully integrated East Anglia into the growing Kingdom of England in 918 CE. [44]

Several major historical events between 700โ€“950 CE provide plausible explanations why a G-Y38335 ancestor or series of generations would migrate from East Anglia to south-central Wessex, the area where the G-Z40857 MRCA is estimated to have lived.

Table Three: Key Historical Drivers for Migrating from East Anglia to Wessex

PeriodEventWhy it would drive migration south to Wessex
7thโ€“8th centuryMercian hegemony over East Anglia โ€“ Mercia (under ร†thelbald, then Offa 757โ€“796) dominated East Anglia, killing King ร†thelbert (794) and taking complete control by the 780s [45] Political subordination, land confiscation, or elite displacement could push East Anglians to seek refuge in the independent kingdom of Wessex [46]
865โ€“870Great Heathen Army’ arrives โ€“ Danish Vikings land in East Anglia (865), in the winter at Thetford, kill King Edmund (869), and make East Anglia Danish  [47] Catastrophic conquestโ€”East Anglia became part of the Danelaw. Many Anglo-Saxons fled south to unoccupied Wessex to escape Viking rule, slavery, or death [48]
871โ€“899Alfred the Great’s resistance โ€“ Alfred defeats Guthrum at Edington (878); treaty divides England (Wessex free, East Anglia Danish) [49] Wessex became the primary refuge for Anglo-Saxons fleeing the Danelaw. Alfred actively welcomed refugees and rebuilt society, attracting migrants from occupied territories [50]
910โ€“950Wessex’s reconquest of the Danelaw โ€“ Edward the Elder and ร†thelflรฆd conquer eastern Midlands; East Anglia comes under Wessex control by 918 [51]Continued population movement as Wessex consolidated power; some East Anglians may have moved to the political heartland (south-central Wessex: Hampshire/Wiltshire) for economic or administrative reasons

The south-central Wessex (Hampshire, Wiltshire) area was the core royal territory of the House of Wessexโ€”the heartland where Alfred, Edward the Elder, and later ร†thelstan built their power. This area offered:

  • Safety from Viking control (unlike East Anglia after 869);
  • Economic opportunity in Alfred’s fortified burhs and revived trade; and
  • Political centrality as Wessex became the nucleus of unified England.

The Social Context Associated with the MRCA of G-Z40857 and Immediate Generations

After a 250 year phylogenetic gap, the most recent common ancestor of G-Z40857 appears in south central Wessex. As indicated in table two above, it is estimated that this ancestor was born around 971 CE. There is a sixty-eight percent chance that the MRCA of haplogrop G-Z40857 was born between 855 – 1070 CE [see note 29] .

The most likely scenario is a descendant of G-Y38335 fled East Anglia after 869โ€“878, seeking safety in Wessex’s south-central core (Hampshire/Wiltshire), where King Alfred’s reforms created stability. Within two to three generations, the lineage, represented by the MRCA of G-Z04857, became established there by approximately the mid to late 900s CE.

Around the time of this ancestor’s birth, southern Wessex was in a phase of relative internal consolidation and monastic reform under King Edgarโ€™s regime, with no major recorded battles within a kingdom that dominated most of England. By the midโ€“tenth century the royal house of Wessex had effectively become the royal dynasty of a unified English kingdom, with Wessex forming its southern core. After ร†thelstanโ€™s reign and subsequent consolidation, Wessex rulers controlled almost all territory south of the Danelaw. By Edgarโ€™s time (959โ€“975 CE) this was taken as a settled political fact rather than a frontier in crisis. Southern Wessex in the 960sโ€“970s functioned more as the heartland of the realm than a contested border zone. [52]

Edgarโ€™s reign is often interpreted as a high point of tenthโ€‘century royal authority, with later tradition remembering him as โ€œEdgar the Peacefulโ€ because largeโ€‘scale warfare in England is not recorded for these years. Royal administration built on Alfredian and Edwardian foundations such as the fortified network of the burh system and fiscal structures of the hidageโ€‘based taxation system still shaped local life in southern Wessex around 970. Lawgiving and royal assemblies in this period tend to be associated with the royal heartlands, which included key southern Wessex centers. The tenth century saw ongoing monetization and urban development in southern England, with burhโ€‘towns evolving into more permanent commercial centers integrated into a kingdomโ€‘wide economy. [53]

In southern Wessex, ports and market towns created or reinforced under Alfred and his successors continued to facilitate trade, tax collection, and royal presence by the 970s. For rural communities, the picture is of continuity under consolidated royal and ecclesiastical landlords, framed by older defensive and fiscal structures but with relatively few recorded disruptive events.


Illustration Elevin: Map of Hildage-Based Taxation

Click for Larger View | Source: Hides and the Tribal Hidage,13 Oct 2016, Medieval Histories, https://www.medieval.eu/hides-and-the-tribal-hidage/

Hidage-based taxation was a historical land tax system in Anglo-Saxon and Norman England. It was assessed on the “hide,” a traditional unit of land theoretically capable of supporting a single household. This primitive but highly effective framework laid the groundwork for England’s early centralized tax state. [54]

Illustration Twelve: Medieval Tenth Century Bur-towns

Click for Larger View | Source: Hel-Hama, Map of burhs named in the 10th-century Burghal Hidage, 4 July 2012, Wikimedia Commons, https://commons.wikimedia.org/wiki/File:Anglo-Saxon_burhs.svg

Burh-towns (or burhs) were a network of fortified settlements established across early medieval England by King Alfred the Great and his successors (like Edward the Elder). Designed primarily to defend against Viking invasions, they also served as commercial and administrative centers that laid the foundation for English urban centers. [55]

Continuation of the Story: Part Two

Part two of the story discusses the Star-Like expansion of the phylogenetic tree. After roughly an eight generational gap in the phylogenetic tree, the โ€˜first waveโ€™ of a star-like expansion of haplogroup branches start to emerge. It appears that descendants migrated westward from south central Wessex into the contested border line areas that were controlled by Anglo-Saxon and Celtic-Briton (nascent Welsh) areas.

The rapid diversification of haplogroup branches is evident between 1000โ€“1500 CE. The clustering of haplogroups can be described as a single founding individual or small kin-group that achieved reproductive success just before the time of the Norman invasion and the continued proliferation of subclade branches through what is known as the Welsh Marches era

Sources

Feature Image: “Every picture tells a story”. This banner visualy captures the essence of this story. The feature image consistes of two images. The image on the left is a modifed version of a Phylogenetic Tree created by Rolf Langland and Maurรญcio Catelli (see reference below). The tree shows the relative sequential position of each of the haplogroups discussed in the story. The image on the left is a map I have created that illustrates the estimated migratory path and location of the MRCAs of G-Z6748 and G-Y38335 and G-Z40857.

Feature Image source for map: The source for creating the map is based on a variety of historical and archaeological studies as well as the estimates derived from the FTDNA Globetrekker tool, see Jim Griffis, Migrating to East Anglia, March 31, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/migrating-to-east-anglia/

Feature Image source for phylogenetic tree: Rolf Langland and Maurรญcio Catelli, G-FGC477 / Chart D – v6 – 2 pages (Jan 26), G-L497 Y-DNA Work Project, https://drive.google.com/file/d/1U_-FfascgkP2kS4nVPEPQVr0l6w8Qc7U/view

See a Larger version of the Feature Banner

[1]A most recent common ancestor (MRCA), also known as a last common ancestor (LCA) . . . , is the most recent individual from which all organisms of a set are inferred to have descended.”

Most Recent Common Ancestor, Wikipedia, This page was last edited on 29 September 2025, https://en.wikipedia.org/wiki/Most_recent_common_ancestor

[2] A Y-DNA phylogenetic tree structure is a branching diagram representing the patrilineal descent of human males based on Y-chromosome mutations. It is often called the YDNA Haplotree, it maps relationships from a common ancestor to modern lineages. Branches or subclades represent shared YDNA mutations, forming nested haplogroups.

Y-chromosome haplogroup G2a (M201) originated in the Middle East/Caucasus, characterized by its role as the primary lineage of early Neolithic farmers who expanded into Europe 9,000โ€“6,000 years ago. Phylogenetically, it splits into multiple subclades (e.g. G2a1, G2a2, G2a3), with high diversity in the Caucasus and Anatolia, while European populations show high ancestral G2a concentrations. The definition of G2a has been refined by subsequent multiple YDNA defining mutations, including G-P15, G-L30, and others that helped differentiate Caucasian, Anatolian, and European branches.

See for example:

Sims LM, Garvey D, Ballantyne J. Improved resolution haplogroup G phylogeny in the Y chromosome, revealed by a set of newly characterized SNPs. PLoS One. 2009 Jun 4; 4(6):e5792. doi: 10.1371/journal.pone.0005792. PMID: 19495413; PMCID: PMC2686153. https://pmc.ncbi.nlm.nih.gov/articles/PMC2686153/

Rootsi S, Myres NM, Lin AA, Jรคrve M, King RJ, Kutuev I, Cabrera VM, Khusnutdinova EK, Varendi K, Sahakyan H, Behar DM, Khusainova R, Balanovsky O, Balanovska E, Rudan P, Yepiskoposyan L, Bahmanimehr A, Farjadian S, Kushniarevich A, Herrera RJ, Grugni V, Battaglia V, Nici C, Crobu F, Karachanak S, Hooshiar Kashani B, Houshmand M, Sanati MH, Toncheva D, Lisa A, Semino O, Chiaroni J, Di Cristofaro J, Villems R, Kivisild T, Underhill PA. Distinguishing the co-ancestries of haplogroup G Y-chromosomes in the populations of Europe and the Caucasus. Eur J Hum Genet. 2012 Dec;20(12):1275-82. doi: 10.1038/ejhg.2012.86. Epub 2012 May 16. PMID: 22588667; PMCID: PMC3499744. https://pmc.ncbi.nlm.nih.gov/articles/PMC3499744/

Primorac D, ล arac J, Havaลก Auguลกtin D, Novokmet N, Bego T, Pinhasi R, ล laus M, Novak M, Marjanoviฤ‡ D. Y Chromosome Story-Ancient Genetic Data as a Supplementary Tool for the Analysis of Modern Croatian Genetic Pool. Genes (Basel). 2024 Jun 6;15(6):748. doi: 10.3390/genes15060748. PMID: 38927684; PMCID: PMC11202852. https://pmc.ncbi.nlm.nih.gov/articles/PMC11202852/

Burkhard Berger, Harald Niederstรคtter, Daniel Erhart, Christoph Gassner, Harald Schennach, Walther Parson, High resolution mapping of Y haplogroup G in Tyrol (Austria), Forensic Science International: Genetics, Volume 7, Issue 5, 2013, Pages 529-536, ISSN 1872-4973,
https://doi.org/10.1016/j.fsigen.2013.05.013 .
(https://www.sciencedirect.com/science/article/pii/S1872497313001361 )

Hay, Maciamo, Haplogrup G2a (Y-DNA), May 2023, Eupedia, https://www.eupedia.com/europe/Haplogroup_G2a_Y-DNA.shtml#google_vignette

[3] Your Haplogroup Story: G-Z6748, FamilyTreeDNA, https://discover.familytreedna.com/y-dna/G-Z6748/story

G-Z6748 Haprogroup Project, About US, FamilyTreeDNA, https://www.familytreedna.com/groups/g-z6748/about

Hay, Maciamo, Haplogroup G2a (Y-DNA), Jul 2023, Eudepia, https://www.eupedia.com/europe/Haplogroup_G2a_Y-DNA.shtml

G-M201, The Genetic Genealogy of the Marres family, https://www.marres.nl/EN/G-M201.htm

See the following stories as a prelude to this story:

[4] The G-Z6748 Haplogroup Project is a dedicated Y-DNA research group on FamilyTreeDNA that explores the patrilineal descendants of an ancient Iron Age ancestor. This genetic lineage branched off from the rest of humankind roughly 2,200 years ago and sits downstream from the broader G-M201 >> L89 >> P15 >> L497 haplogroup tree.

The project is open to all participants who test positive for the Z6748 SNP. Because participants in the project often undergo advanced Y-DNA testing (such as Big Y), the group helps map a sprawling network of even more specific sub-clades (e.g., G-FT206737, G-Y132509, G-FTA94519). Descendants are primarily found throughout Europe. Members of this haplogroup often research surname lines connected to ancient or noble British and Scandinavian lineages (like Welsh patrons, Scottish/English gentry, and Norman ancestry).

Background, G-Z6748 Haplogroup Project. FamilyTreeDNA, Accessed 27 June, 2026, https://www.familytreedna.com/groups/g-z6748/about/background

[5] As of the writing of this story, there were 153 FamilyTreeDNA (FTDNA) DNA testers that could trace their YDNA back to G-Z6748. The following table provides a distribution of those 153 YDNA testers based on the testers’ self reported earliest known direct paternal countries of origin.

Click for Larger View | Source: Country Frequency of G-Z6758 descendants based on self-reported earliest known direct paternal countries of origin from participants, FamilyTreeDNA, Accessed Apr 2026,https://discover.familytreedna.com/y-dna/G-Z6748/frequency?view=table

Your Haplogroup Story: G-Z6748, FamilyTreeDNA, Accessed 1 Apr 2026, https://discover.familytreedna.com/y-dna/G-Z6748/story

[6] Pattison , John E. “Integration Versus Apartheid in Post-Roman Britain: A Response to Thomas et al. (2008),” Human Biology 83(6), 715-733, (1 December 2011). https://doi.org/10.3378/027.083.0604

[7] Griffis, Jim, Migrating to East Anglia, March 31, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/migrating-to-east-anglia/

Griffis, Jim The Ancestors of Haplogroup G-Z6748: A Frisian or Frank โ€“ Part Nine, February 11, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/the-ancestors-of-haplogroup-g-z6748-a-frisian-or-frank-part-nine/

[8] G-Z6748 Haplogroup Project, About Us, FamilyTreeDNA, accessed 4 May 2026, https://www.familytreedna.com/groups/g-z6748/about

Haplogroup G โ€“L497 Chart D: FGC477 Branch, L-497 Haplogroup Project, 24 Jan 2026, https://drive.google.com/file/d/1U_-FfascgkP2kS4nVPEPQVr0l6w8Qc7U/view

[9] In genetics, an allele is simply an alternative version of a DNA sequence of base pairs at a specific location on a chromosome. The definitions of alleles in the context of SNPs and STRs differ primarily in what type of genetic variation is being measured.

A SNP represents a change at a single “letter” (nucleotide) in the DNA sequence.  An STR is a region of DNA where short sequences of 2 to 6 base pairs are repeated over and over.

AlleleDescription
SNP AlleleA change in a single nucleotide base (e.g., A vs. T)
STR AlleleA difference in the number of times a short DNA motif repeats (e.g., a “GATA” sequence repeating 8 times vs. 11 times)

Phillips C, Garcรญa-Magariรฑos M, Salas A, Carracedo A, Lareu MV. SNPs as Supplements in Simple Kinship Analysis or as Core Markers in Distant Pairwise Relationship Tests: When Do SNPs Add Value or Replace Well-Established and Powerful STR Tests? Transfus Med Hemother. 2012 Jun;39(3):202-210. doi: 10.1159/000338857. Epub 2012 May 12. PMID: 22851936; PMCID: PMC3375139. https://pmc.ncbi.nlm.nih.gov/articles/PMC3375139/

[10] 20.9.2: Genetic Drift, Libre Texts, h10tps://bio.libretexts.org/Bookshelves/Introductory_and_General_Biology/Map:_Raven_Biology_12th_Edition/20:_Genes_Within_Populations/20.09:_Interactions_Among_Evolutionary_Forces/20.9.2:_Genetic_Drift

Kirk, Maggie, Genetic Drift and Founder Effects: Implications for Population Genetics, Conservation, and Human Health, April 16, 2024, Genet.Mol.Res. 23(2), https://www.geneticsmr.org/articles/genetic-drift-and-founder-effects-implications-for-population-genetics-conservation-and-human-health-7748.html

[11] An allele is one of two or more alternative versions of a gene at a specific location on a chromosome. Allele frequency measures how common a gene variant (allele) is within a population, calculated by dividing the count of a specific allele by the total of all alleles for that gene in the population. It is used to study genetic diversity, evolution, and population structure, with frequencies ranging from 0 to 1.0 (or 0โ€“100%). 

See:

Allele, National Human Genome Research Insitute, https://www.genome.gov/genetics-glossary/Allele

Allele Frequency, Wikipedia, This page was last edited on 31 March 2026, https://en.wikipedia.org/wiki/Allele_frequency

Minor Allele Frequency, Wikipedia, This page was last edited on 14 December 2025, https://en.wikipedia.org/wiki/Minor_allele_frequency

Allele frequency & the gene pool, Khan Academy, https://www.khanacademy.org/science/ap-biology/natural-selection/hardy-weinberg-equilibrium/a/allele-frequency-the-gene-pool

Gonzalez-Galarza FF, Christmas S, Middleton D, Jones AR. Allele frequency net: a database and online repository for immune gene frequencies in worldwide populations. Nucleic Acids Res. 2011 Jan;39(Database issue):D913-9. doi: 10.1093/nar/gkq1128. Epub 2010 Nov 9. PMID: 21062830; PMCID: PMC3013710. https://pubmed.ncbi.nlm.nih.gov/21062830/

allele frequency, Scitable, https://www.nature.com/scitable/definition/allele-frequency-298/

[12] Y-DNA genetic drift is the random change in frequencies of Y-chromosome lineages (haplogroups or subclades) over time, purely by chance rather than because they are biologically better or worse. Genetic drift is the random, unpredictable variations of allele or lineage frequencies from one generation to the next, caused by random sampling of which men leave surviving sons and which do not. On the Y chromosome, this means some Y lineages expand, others shrink, and some disappear entirely, even if they are selectively neutral.

See:

Genetic Drift, Wikipedia, This page was last edited on 28 March 2026,  https://en.wikipedia.org/wiki/Genetic_drift

Chiaroni J, Underhill PA, Cavalli-Sforza LL. Y chromosome diversity, human expansion, drift, and cultural evolution. Proc Natl Acad Sci U S A. 2009 Dec 1;106(48):20174-9. doi: 10.1073/pnas.0910803106. Epub 2009 Nov 17. Erratum in: Proc Natl Acad Sci U S A. 2010 Jul 27;107(30):13556. PMID: 19920170; PMCID: PMC2787129. https://pmc.ncbi.nlm.nih.gov/articles/PMC2787129/

Slyman, Raleigh, How does Y chromosome variation happen?, 27 Feb 2024, The Tech Interactive, https://www.thetech.org/ask-a-geneticist/articles/2024/y-chromosome-variation/

[13] A population bottleneck is a sharp, drastic reduction in the size of a population due to environmental events (e.g. earthquakes, fires, famine) or human activities (e.g. impact of patrilineal systems on genetic diversity, the repressive practices of social groups on othersocial groups, etc ). Demographic bottlenecks cause massive losses of genetic diversity, leaving the surviving population with a limited gene pool and increased genetic drift.

Typical features of a demographic bottleneck are:

  • A large population is drastically reduced for at least one generation (e.g., by disease, famine, climate event, habitat loss, hunting).
  • The survivors are effectively a random sample of the original population, so rare alleles are likely to be lost and a few previously uncommon alleles can drift to higher frequency.
  • When the population later expands, all descendants trace back to that small set of survivors, so the whole population shows reduced heterozygosity and fewer alleles per locus. Heterozygosity is the presence of two different versions (alleles) of a specific gene in an individual, with one inherited from each parent.

See:

Population bottleneck, Wikipeda, This page was last edited on 31 March 2026, https://en.wikipedia.org/wiki/Population_bottleneck

Bottlenecks and founder effects, Understanding Evolution, https://evolution.berkeley.edu/bottlenecks-and-founder-effects/

Klymkowski, Michael and Melanie M. Cooper, Population size, founder effects and population bottlenecks, LibreTexts, https://bio.libretexts.org/Bookshelves/Cell_and_Molecular_Biology/Biofundamentals_1e_(Klymkowsky_and_Cooper)/03:_Evolutionary_mechanisms_and_the_diversity_of_life/3.14:_Population_size_founder_effects_and_population_bottlenecks

Widdows, Megan, Genetic bottlenecks and the Founder effect: lessons learnt from the Woolly Mammoth, Evolution Letters, https://evolutionletters.wordpress.com/evolution-learning-zone/evolution-explained/genetic-bottlenecks-and-the-founder-effect-lessons-learnt-from-the-woolly-mammoth/

Kirk, Maggie, Genetic Drift and Founder Effects: Implications for Population Genetics, Conservation, and Human Health, April 16, 2024 Genet.Mol.Res. 23(2): , https://www.geneticsmr.org/articles/genetic-drift-and-founder-effects-implications-for-population-genetics-conservation-and-human-health.pdf

[14] A founder effect is a loss of genetic variation occurring when a new population is established by a very small number of individuals from a larger population. It causes reduced genetic diversity, with the new group’s gene frequencies differing significantly from the original population.

A founder effect occurs when a new population (a โ€œcolonyโ€) is established by a small number of individuals drawn from a larger source population. Because the founders are few, they carry a non-representative sample of the source gene pool, and this sampling distortion is then amplified as the new population grows.

Typical features of a founder effect are:

  • A small group separates from a larger population (e.g., colonizing an island, migrating to a new region, or becoming geographically/culturally isolated).
  • The founding group has reduced genetic variation relative to the source and may, by chance, carry some alleles at unusually high or low frequency.

See:

Bottlenecks and founder effects, Understanding Evolution, https://evolution.berkeley.edu/bottlenecks-and-founder-effects/

Klymkowski, Michael and Melanie M. Cooper, Population size, founder effects and population bottlenecks, LibreTexts, https://bio.libretexts.org/Bookshelves/Cell_and_Molecular_Biology/Biofundamentals_1e_(Klymkowsky_and_Cooper)/03:_Evolutionary_mechanisms_and_the_diversity_of_life/3.14:_Population_size_founder_effects_and_population_bottlenecks

Widdows, Megan, Genetic bottlenecks and the Founder effect: lessons learnt from the Woolly Mammoth, Evolution Letters, https://evolutionletters.wordpress.com/evolution-learning-zone/evolution-explained/genetic-bottlenecks-and-the-founder-effect-lessons-learnt-from-the-woolly-mammoth/

Kirk, Maggie, Genetic Drift and Founder Effects: Implications for Population Genetics, Conservation, and Human Health, April 16, 2024 Genet.Mol.Res. 23(2): , https://www.geneticsmr.org/articles/genetic-drift-and-founder-effects-implications-for-population-genetics-conservation-and-human-health.pdf

[15] Mustapha J A, How does the genetic bottleneck or population expansion affect the pattern of DNA polymorphisms?, 8 Jan 2016, ResearchGate, https://www.researchgate.net/post/How-does-the-genetic-bottleneck-or-population-expansion-affect-the-pattern-of-DNA-polymorphisms

population bottleneck, scitable, https://www.nature.com/scitable/definition/population-bottleneck-300/

Bottlenecks and founder effects, Understanding Evolution, UC Museum of Paleontology, https://evolution.berkeley.edu/bottlenecks-and-founder-effects/

Lucena-Perez M, Kleinman-Ruiz D, Marmesat E, Saveljev AP, Schmidt K, Godoy JA. Bottleneck-associated changes in the genomic landscape of genetic diversity in wild lynx populations. Evol Appl. 2021 Oct 8;14(11):2664-2679. doi: 10.1111/eva.13302. PMID: 34815746; PMCID: PMC8591332. https://pmc.ncbi.nlm.nih.gov/articles/PMC8591332/

Population Bottleneck, Wikipedia, This page was last edited on 31 March 2026, https://en.wikipedia.org/wiki/Population_bottleneck

Haplotype, International Society of Genetic GenealologyWiki, This page was last edited on 1 July 2021, https://isogg.org/wiki/Haplotype

Haplotype, Wikipedia, This page was last edited on 27 February 2026, https://en.wikipedia.org/wiki/Haplotype

What is the difference between a Y-DNA haplotype and Y-DNA haplogroup?, genebase, https://www.genebase.com/what-is-the-difference-between-a-y-dna-haplotype-and-y-dna-haplogroup/

[16] See for a discussion of the relationship between bottlenecks, founder effects and star phylogenies:

Karmin M, Saag L, Vicente M, Wilson Sayres MA, Jรคrve M, Talas UG, Rootsi S, Ilumรคe AM, Mรคgi R, Mitt M, Pagani L, Puurand T, Faltyskova Z, Clemente F, Cardona A, Metspalu E, Sahakyan H, Yunusbayev B, Hudjashov G, DeGiorgio M, Loogvรคli EL, Eichstaedt C, Eelmets M, Chaubey G, Tambets K, Litvinov S, Mormina M, Xue Y, Ayub Q, Zoraqi G, Korneliussen TS, Akhatova F, Lachance J, Tishkoff S, Momynaliev K, Ricaut FX, Kusuma P, Razafindrazaka H, Pierron D, Cox MP, Sultana GN, Willerslev R, Muller C, Westaway M, Lambert D, Skaro V, Kovaฤevic L, Turdikulova S, Dalimova D, Khusainova R, Trofimova N, Akhmetova V, Khidiyatova I, Lichman DV, Isakova J, Pocheshkhova E, Sabitov Z, Barashkov NA, Nymadawa P, Mihailov E, Seng JW, Evseeva I, Migliano AB, Abdullah S, Andriadze G, Primorac D, Atramentova L, Utevska O, Yepiskoposyan L, Marjanovic D, Kushniarevich A, Behar DM, Gilissen C, Vissers L, Veltman JA, Balanovska E, Derenko M, Malyarchuk B, Metspalu A, Fedorova S, Eriksson A, Manica A, Mendez FL, Karafet TM, Veeramah KR, Bradman N, Hammer MF, Osipova LP, Balanovsky O, Khusnutdinova EK, Johnsen K, Remm M, Thomas MG, Tyler-Smith C, Underhill PA, Willerslev E, Nielsen R, Metspalu M, Villems R, Kivisild T. A recent bottleneck of Y chromosome diversity coincides with a global change in culture. Genome Res. 2015 Apr;25(4):459-66. doi: 10.1101/gr.186684.114. Epub 2015 Mar 13. PMID: 25770088; PMCID: PMC4381518. https://pmc.ncbi.nlm.nih.gov/articles/PMC4381518/

Zeng, T.C., Aw, A.J. & Feldman, M.W. Cultural hitchhiking and competition between patrilineal kin groups explain the post-Neolithic Y-chromosome bottleneck. Nat Commun9, 2077 (2018). https://doi.org/10.1038/s41467-018-04375-6 ,

Khan, Razib, Genghis Khan: they donโ€™t make stars like they used to: Manspreading like the ancients: star phylogenies and the rise and fall of hyper-patriarchy, 26 Nov 2023, Razib Kan’s Unsupervised Learning, https://www.razibkhan.com/p/genghis-khan-manspreading-like-the

[17] Examples of studies that utilize the concept of cultural hitchiking:

Foody, M. George B. , Genetic Impact of the Bronze Age at the Fringes of Europe. Doctoral thesis, University of Huddersfield. 2021, https://eprints.hud.ac.uk/id/eprint/35516/, https://eprints.hud.ac.uk/id/eprint/35516/1/FINAL%20THESIS%20-%20Foody.pdf

Batini C, Hallast P, Vรฅgene ร…J, Zadik D, Eriksen HA, Pamjav H, Sajantila A, Wetton JH, Jobling MA. Population resequencing of European mitochondrial genomes highlights sex-bias in Bronze Age demographic expansions. Sci Rep. 2017 Sep 21;7(1):12086. doi: 10.1038/s41598-017-11307-9. PMID: 28935946; PMCID: PMC5608872. https://pmc.ncbi.nlm.nih.gov/articles/PMC5608872/

Zeng, T.C., Aw, A.J. & Feldman, M.W. Cultural hitchhiking and competition between patrilineal kin groups explain the post-Neolithic Y-chromosome bottleneck. Nat Commun, 9, 2077 (2018). https://doi.org/10.1038/s41467-018-04375-6

Ackland GJ, Signitzer M, Stratford K, Cohen MH. Cultural hitchhiking on the wave of advance of beneficial technologies. Proc Natl Acad Sci U S A. 2007 May 22;104(21):8714-9. doi: 10.1073/pnas.0702469104. Epub 2007 May 16. PMID: 17517663; PMCID: PMC1885568. https://pmc.ncbi.nlm.nih.gov/articles/PMC1885568/

Guyon, L., Guez, J., Toupance, B. et al. Patrilineal segmentary systems provide a peaceful explanation for the post-Neolithic Y-chromosome bottleneck. Nat Commun 15, 3243 (2024). https://doi.org/10.1038/s41467-024-47618-5

S. Carrignon, E.R. Crema, A. Kandler, & S. Shennan, Postmarital residence rules and transmission pathways in cultural hitchhiking, Proc. Natl. Acad. Sci. U.S.A. 121 (48) e2322888121, https://doi.org/10.1073/pnas.2322888121 (2024).

[18] G-L497 Y-DNA Haplogroup Project, FamilyTreeDNA, About Us, https://www.familytreedna.com/groups/g-ydna/about?srsltid=AfmBOorfbKDPy0LJSW66_gQbGMyCX-0o7BUKA22BopSqeeXuGntPxzYU

Haplogroup G-P303, Wikipeda, This page was last edited on 26 January 2026, https://en.wikipedia.org/wiki/Haplogroup_G-P303

Burkhard Berger, Harald Niederstรคtter, Daniel Erhart, Christoph Gassner, Harald Schennach, Walther Parson, High resolution mapping of Y haplogroup G in Tyrol (Austria), Forensic Science International: Genetics, Volume 7, Issue 5, 2013, Pages 529-536, ISSN 1872-4973,
https://doi.org/10.1016/j.fsigen.2013.05.013 .
(https://www.sciencedirect.com/science/article/pii/S1872497313001361 )

[19] Quote: Haplogroup G-M201, Wikipedia, This page was last edited on 20 February 2026, https://en.wikipedia.org/wiki/Haplogroup_G-M201

The quote references the ISOGG haplogroup G2a3b1 which is G-P303 . Direct match to G2a3b1 not found, but it is 3 steps up the haplotree G2a = G-P15.

See also:

Haplogroup G-P303, Wikipedia, This page was last edited on 26 January 2026, https://en.wikipedia.org/wiki/Haplogroup_G-P303

There are seeming pockets of unusual concentrations within Europe. In Wales, a distinctive G2a3b1 (G-P15) type (DYS388=13 and DYS594=11) dominates there and pushes the G percentage of the population higher than in England.

DYS399 and DYS594 stand for DNA Y-chromosome Segments. They are specific short-tandem repeat (STR) markers located on the Y-chromosome used in genetic genealogy to trace paternal ancestry. DYS markers, designated by the HUGO Gene Nomenclature Committee, identify specific spots where DNA sequences repeat, helping men determine relatedness to others through their direct paternal line.

Key Details About DYS Markers (e.g., DYS399 and DYS594):

  • Paternal Tracking: DYS markers only exist on the Y-chromosome, passing from father to son with few changes, making them ideal for surname projects and genealogical research.
  • STR (Short Tandem Repeat): These markers measure the number of times a short DNA sequence repeats, such as GATA-GATA-GATA (3 repeats).
  • Mutation Rates: While highly stable, these markers can mutate, allowing researchers to estimate the time to the most recent common ancestor (TMRCA) between two men.
  • Component of Y-DNA Profiles: Results for DYS399, alongside others like DYS390 or DYS393, form a Y-STR haplotype profile.

See: Understanding the Admin – Y-DNA Results Overview Report, FamilyTreeDNA, https://help.familytreedna.com/hc/en-us/articles/11165708791311-Understanding-the-Admin-Y-DNA-Results-Overview-Report#h_01JBYS1DRY1CMCC0FVK83ER1GQ

A review of the DYS values for DYS399 and DYS594 for members of the G-Z6748 FamilyTree Project confirms this observation. The following is the G-Z6748 – Y-DNA Results Overview for the FamilyTreeDNA project. As refleced in the chart, the value for DYS399 =13 for all members of this group project as of the writing of the story. . The value for all but one member of this group for DYS594=11.

G-Z6748 – Y-DNA Results Overview (as of April 2026)

Click for Larger View | Source: G-Z6748 – Y-DNA Results Overview, G-Z6748 FamilyTreeDNA Haoplogroup Project, FamilyTreeDNA, Accessed 21 April 2026,https://www.familytreedna.com/public/G-Z6748?iframe=ydna-results-overview

[20] Haplogroup P-303, Wikipedia, This page was last edited on 26 January 2026, https://en.wikipedia.org/wiki/Haplogroup_G-P303

[21] Your Haplogroup Story: G-Z6748, FamilyTreeDNA, Accessed 03 May 2026, https://discover.familytreedna.com/y-dna/G-Z6748/story

[22] Griffis, Jim The Griff(is)(es)(ith) Patrilineal Line of Descent: The Shape and Movement of the G Phylogenetic Tree through Time, March 23, 2025, Griffis Family: Selected Stories from the Past, https://griffis.org/the-griffisesith-patrilineal-line-of-descent-the-shape-and-movement-of-the-g-phylogenetic-tree-through-time/

[23] Bell Beaker Culture, Wikipeida, This page was last edited on 8 May 2026, https://en.wikipedia.org/wiki/Bell_Beaker_culture

Vander Linden, Marc, The Bell Beaker Phenomenon in Europe, Cambridge University Press, 2024, https://doi.org/10.1017/9781009496872

รšnฤ›tice culture, Wikipedia, This page was last edited on 16 April 2026, https://en.wikipedia.org/wiki/รšnฤ›tice_culture

Quentin P. J. Bourgeois et al. ,Spatiotemporal reconstruction of Corded Ware and Bell Beaker burial rituals reveals complex dynamics divergent from steppe ancestry. Sci. Adv. 11, eadx2262 (2025). DOI: 10.1126/sciadv.adx2262

Olalde, I., Brace, S., Allentoft, M. et al. The Beaker phenomenon and the genomic transformation of northwest Europe. Nature 555, 190โ€“196 (2018). https://doi.org/10.1038/nature25738

Olalde, Iรฑigoet al. , The genomic history of the Iberian Peninsula over the past 8000 years.Science 363, 1230-1234 (2019).DOI:10.1126/science.aav4040

[24] In Central and Northern Europe (like the Rhine Valley), the Bell Beaker population was almost entirely composed of individuals with heavy Steppe-related ancestry and R1b lineages. In contrast, Iberian Beaker individuals often retained the DNA of local farmers, only showing the arrival of R1b and Steppe ancestry later in the Bronze Age.

Paternal Lineages YDNA associated with the influx of the Bell Beaker cultural groups:

G2a, I2a, and R-V88: Found primarily in early Iberian Bell Beaker burials. In these regions, the culture often spread through trade and cultural adoption rather than mass migration, meaning local Neolithic lineages persisted longer than in Northern Europe.

R1b-M269 / R1b-L11: The primary male lineage for Bell Beaker groups outside of Iberia. It is linked to “Steppe” ancestry and is a definitive indicator of the population shift that occurred around 2500โ€“2200 BCE.

R1b-P312: A major subclade that became the dominant lineage of the “Rhenish” Beakers (those in the Rhine area, Netherlands, and Britain).

Olalde,  Iรฑigo al., The genomic history of the Iberian Peninsula over the past 8000 years.Science 363, 1230-1234 (2019). DOI: 10.1126/science.aav4040

Hay, Maciamo, Bell Beaker phenomenon (c. 2900-1800 BCE), Eupedia, https://www.eupedia.com/genetics/bell_beaker_phenomenon.shtml

[25] Griffis, Jim, The Turbulent Roman Era โ€“ The Griff(is)(es)(ith) Y-DNA Phylogenetic Gap Associated with the Meuse and Rhine River Watershed โ€“ Part Seven, November 30, 2025, https://griffis.org/the-turbulent-roman-era-the-griffisesith-y-dna-phylogenetic-gap-associated-with-the-meuse-and-rhine-river-watershed-part-seven/

[26] McDonald I. Improved Models of Coalescence Ages of Y-DNA Haplogroups. Genes (Basel). 2021 Jun 4;12(6):862. doi: 10.3390/genes12060862. PMID: 34200049; PMCID: PMC8228294. https://pmc.ncbi.nlm.nih.gov/articles/PMC8228294/

Jobling, M., Tyler-Smith, C. Human Y-chromosome variation in the genome-sequencing era. Nat Rev Genet 18, 485โ€“497 (2017). https://doi.org/10.1038/nrg.2017.36

[27] The Kingdom of the East Angles (sixth centuryโ€“918 CE) was an independent Anglo-Saxon kingdom comprising modern-day Norfolk and Suffolk. Founded by Angles settlers, it was part of the Heptarchy, later falling under Mercian dominance, Viking control (as part of the Danelaw), and finally becoming part of England in 918 CE. 

Kingdom of East Anglia, Wikipedia, This page was last edited on 25 March 2026, https://en.wikipedia.org/wiki/Kingdom_of_East_Anglia

See also:

Griffis, Jim, Migrating to East Anglia, March 31, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/migrating-to-east-anglia/

Griffis, Jim, The Ancestors of Haplogroup G-Z6748: A Frisian or Frank โ€“ Part Nine, February 11, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/the-ancestors-of-haplogroup-g-z6748-a-frisian-or-frank-part-nine/

Griffis, Jim, The Ancestor of Haplogroup G-Z6748, the Terps, Transport Corridors and Landscape Archaeology โ€“ Part Eight , January 14, 2026, Griffis Family: Selected Stories from the Past, https://griffis.org/the-ancestor-of-haplogroup-g-z6748-the-terps-transport-corridors-and-landscape-archaeology-part-eight/

[28] Griffis, Jim, Migrating to East Anglia, 31 Mar 2026, Griffis Family, Selected Sotires from the Past, https://griffis.org/migrating-to-east-anglia/

[29] Scientific Details for G-Z6748

Click for Larger View | Source: FamilyTreeDNA,Scientific Details on Haplogroup G-Z6748, https://discover.familytreedna.com/y-dna/G-Z6748/scientific

Scientific Details for G-Y38335

Click for Larger View | Source: Scientific Details for Haplogroup G-Y38335, FamilyTreeDNA, Accessed 12 Feb 2026, https://discover.familytreedna.com/y-dna/G-Y38335/scientific?section=tmrca

Scientific Details for G-Z40857:

Click for Larger View | Source: Scientific Details for Haplogroup G-Z40857, 5 May 2026, FamilyTreeDNA,https://discover.familytreedna.com/y-dna/G-Z40857/scientific?section=tmrca

[30] Leggett, S., Hakenbeck, S., & C Oโ€™Connell, T. (2025). Large-Scale Isotopic Data Reveal Gendered Migration into Early Medieval England 400โ€“1100. Medieval Archaeology69(2), 280โ€“308. https://doi.org/10.1080/00766097.2025.2583016

Gretzinger, J., Sayer, D., Justeau, P. et al. The Anglo-Saxon migration and the formation of the early English gene pool. Nature 610, 112โ€“119 (2022). https://doi.org/10.1038/s41586-022-05247-2

Roots of medieval migration into England uncovered in new study, Press Release, 5 Jan 2026, Univesrity of Edinburgh, https://www.eurekalert.org/news-releases/1111454

Roots of medieval migration into England uncovered in new study, 8 Jan 2026, Archaeology Department, University of Cambridge, https://www.arch.cam.ac.uk/news/roots-of-medieval-migration-into-england-uncovered-in-new-study

Migration Period, Wikipedia, This page was last edited on 27 April 2026, https://en.wikipedia.org/wiki/Migration_Period

McIntosh, Matthew, The Migration Period in Ancient Europe, 300-568 CE, 15 May 2020, Brewminate, https://brewminate.com/the-migration-period-in-ancient-europe-300-568-ce/

[31] See Jim Griffis, Migrating to East Anglia, 31 Mar 2026, Griffis Family,: Stories from the Past, https://griffis.org/migrating-to-east-anglia/

[32] The fifth-century Migration Period (or Vรถlkerwanderung) was a transformative era of mass population movements and tribal incursions that permanently reshaped Europe. Driven by Hunnish expansion, climate shifts, and tribal conflicts, this wave of migration precipitated the collapse of the Western Roman Empire and laid the foundation for medieval European states. 

Key Migrations of the fifth Century

The Franks (Fifth century): Moving into Roman Gaul more gradually, these western Germanic tribes integrated with the local Roman-Gaulish populace. They fended off rival tribes like the Visigoths and the Alemanni, forming the nucleus of the future French and German states

Visigoths (410 CE ): Having migrated from the Balkans, they sacked Rome in 410 CE. They subsequently settled in southern Gaul (France) and established a powerful kingdom spanning nearly all of Hispania (Spain).

Vandals, Alans, and Suebi (406โ€“409 CE): In a massive flight from the Huns, these groups crossed the frozen Rhine on December 31, 406. They swept through Gaul and into Spain before the Vandals crossed into North Africa in 429 to establish an independent state at Carthage.

Angles, Saxons, and Jutes (Mid-fifth century): With the Roman military withdrawing from Britain, these Germanic tribes from the Jutland Peninsula migrated across the North Sea, pushing native Britons west and establishing their own kingdoms.

See:

Migration Perod, Wikipedia, This page was last edited on 27 April 2026, https://en.wikipedia.org/wiki/Migration_Period

van der Crabben, Jan, Migration Age, 10 Jun 2010, World History Encyclopedia, https://www.worldhistory.org/Migration_Age/

Britannica Editors. “Migration period”. Encyclopedia Britannica, 23 Mar. 2018, https://www.britannica.com/event/Dark-Ages

[33] Leggett, S., Hakenbeck, S., & C Oโ€™Connell, T. (2025). Large-Scale Isotopic Data Reveal Gendered Migration into Early Medieval England 400โ€“1100. Medieval Archaeology69(2), 280โ€“308. https://doi.org/10.1080/00766097.2025.2583016

Anastasi, Luciano, Migration into Medieval England: New Evidence Shakes Old Narratives, 12 Jan 2026, History Medieval, https://historymedieval.com/migration-into-medieval-england-new-evidence-shakes-old-narratives/

[34] Leggett, S., Hakenbeck, S., & C Oโ€™Connell, T. (2025). Large-Scale Isotopic Data Reveal Gendered Migration into Early Medieval England 400โ€“1100. Medieval Archaeology69(2), 280โ€“308. https://doi.org/10.1080/00766097.2025.2583016

[35] Ashworth, James, Early English Anglo-Saxons descended from mass European migration, 21 Sep 2022, Science News, Natural History Museum London, https://www.nhm.ac.uk/discover/news/2022/september/early-english-anglo-saxons-descended-from-mass-european-migration.html

Genetic history of the British Isles, Wikipedia, This page was last edited on 11 April 2026, https://en.wikipedia.org/wiki/Genetic_history_of_the_British_Isles

Leggett, S., Hakenbeck, S., & C Oโ€™Connell, T. (2025). Large-Scale Isotopic Data Reveal Gendered Migration into Early Medieval England c 400โ€“1100. Medieval Archaeology69(2), 280โ€“308. https://doi.org/10.1080/00766097.2025.2583016

Roots of medieval migration into England uncovered in new study, 8 Jan 2026, Archaeology Department, University of Cambridge, https://www.arch.cam.ac.uk/news/roots-of-medieval-migration-into-england-uncovered-in-new-study

Anastasi, L., Migration into Medieval England: New Evidence Shakes Old Narratives โ€“ Medieval History. Medieval History โ€“ Yesterday in a Nutshell. 12 Jan 2026 https://historymedieval.com/migration-into-medieval-england-new-evidence-shakes-old-narratives/

McIntosh, Matthew, The Migration Period in Ancient Europe, 300-568 CE, 15 May 2020, Brewminate, https://brewminate.com/the-migration-period-in-ancient-europe-300-568-ce/

Gretzinger, J., Sayer, D., Justeau, P. et al. The Anglo-Saxon migration and the formation of the early English gene pool. Nature 610, 112โ€“119 (2022). https://doi.org/10.1038/s41586-022-05247-2

J.F. Wilson, D.A. Weiss, M. Richards, M.G. Thomas, N. Bradman, & D.B. Goldstein, Genetic evidence for different male and female roles during cultural transitions in the British Isles, Proc. Natl. Acad. Sci. U.S.A. 98 (9) 5078-5083, 2001, https://doi.org/10.1073/pnas.071036898 

Flavio De Angelis, Elizabeth A. Nelson, Sam Leggett, Kalina Kassadjikova, Tanya R.Pelayo, Rob Poulton, Todd C. Rae, Lars Fehren-Schmitz, Lia Betti, Carlos Eduardo G.Amorim, The Genomic Legacy of the Norman Conquest in Rural England, bioRxiv 2026.04.10.716983; doi: https://doi.org/10.64898/2026.04.10.716983

[36] Modern genetic studies of early medieval Britain support a model of fifth-seventh century Anglo-Saxon migration that was not a uniform, monolithic invasion. It was a patchy, sustained movement of Germanic peoples from the continental North Sea zone (modern-day Netherlands, Germany, and Denmark). This migration involved localized settlements or “founder events,” particularly along accessible coasts and river valleys like the Thames, Humber, and across East Anglia. 

The genetic impact and “patchy” colonization resulted in:

  • Localized Founder Events: The arrival was characterized by smaller groups settling in specific areas, where they often remained separate from local British populations in the immediate post-Roman period.
  • Narrow Subset of Lineages: These localized communities allowed specific male lineages to thrive and dominate through local, generational growth.
  • Regional Differences: This created distinct regional genetic landscapesโ€”for example, higher concentrations of continental DNA in the east/southeast (30โ€“40 percent or more) and significantly less in the west and north, where the local, pre-existing population remained more dominant.

Specific Y-Lineage Evidence:

  • Male Dominance: The colonization was heavily driven by men, with Y-chromosomal DNA in early Anglo-Saxon England showing up to 50โ€“100 percentontinental ancestry in some central areas.
  • Continental Markers: The specific lineages linked to this, which amplified through these local, patchy events, include R1b-U106, R1a-M420, and I1-M253, which are common in northern and central Europe.
  • Survival Rates: While subsequent Viking, Norman, and other influences occurred, the foundational 5thโ€“7th century settlements provided the “patchy” genetic base that still shows high continental input in regions like East Anglia. 

This process resulted in an early English population where the first settlers’ origins were tightly linked to specific areas of the continent, later modified by local admixture with the local Romano-British population.

See:

Roberston, Lauren, Combined genetics and archaeology data reveal origins of the early English gene pool, 27 Sep 2022, Front Line Genomics, https://frontlinegenomics.com/combined-genetics-and-archaeology-data-reveal-origins-of-the-early-english-gene-pool/

Gretzinger, J., Sayer, D., Justeau, P. et al. The Anglo-Saxon migration and the formation of the early English gene pool. Nature 610, 112โ€“119 (2022). https://doi.org/10.1038/s41586-022-05247-2

Michael E. Weale, Deborah A. Weiss, Rolf F. Jager, Neil Bradman, Mark G. Thomas, Y Chromosome Evidence for Anglo-Saxon Mass Migration, Molecular Biology and Evolution, Volume 19, Issue 7, July 2002, Pages 1008โ€“1021, https://doi.org/10.1093/oxfordjournals.molbev.a004160, https://www.csueastbay.edu/museum/files/docs/exhibit/dna/dna-chrom-migration.pdf

Ashworth, James, Early English Anglo-Saxons descended from mass European migration, 21 Sept 2022, Natural History Museum London, https://www.nhm.ac.uk/discover/news/2022/september/early-english-anglo-saxons-descended-from-mass-european-migration.html

[37] Based on the historical context of the British Isles between 700 and 950 CE, the era, characterized by Anglo-Saxon migration and Viking raids/settlement, saw significant, often violent, population turnover, particularly in eastern and central England. 

  • Male-Line Bottlenecks (Y-DNA): Modern genetic studies show that a few male lines dominate the Y-chromosome landscape of Europe and the British Isles, with these bottlenecks often reinforced by the success of specific patrilines associated with the Bronze Age Bell Beaker culture, and later, the Iron Age Celts and Germanic peoples.
  • The “Winner” Effect: The success of Viking and Anglo-Saxon invaders (associated with Y-haplogroups I1, R1a, and R1b-U106) likely accelerated this process, where successful warbands and elites in early medieval England replaced or absorbed existing populations, leading to high survival of their own patrilines.
  • Autosomal vs. Y-DNA Data: While Y-DNA shows strong, recent, and localized expansion (many men with the same ancestor), the autosomal DNA (total ancestry) remains much more diverse, revealing that these successful male lineages were mixing with the existing indigenous, mainly Celtic-like, population.

Consequently, while the appearance of the population (autosomal DNA) changed more gradually, the Y-chromosome data shows that the early medieval period exacerbated the “winners keep reproducing” dynamic, where a few elite male lineages expanded, and others (including native Romano-British or existing Northumbrian lineages) contracted or were destroyed.

See:

Hay, Maciamo, Genetic history of the British and the Irish, Oct 2016, Eupedia, https://www.eupedia.com/genetics/britain_ireland_dna.shtml

Pickrell, John, DNA Untangles Britain’s Past : Genetic survey reveals Viking blood in modern day Britain, 27 May 2003, Science.Org

Gretzinger J, Sayer D, Justeau P, Altena E, Pala M, Dulias K, Edwards CJ, Jodoin S, Lacher L, Sabin S, Vรฅgene ร…J, Haak W, Ebenesersdรณttir SS, Moore KHS, Radzeviciute R, Schmidt K, Brace S, Bager MA, Patterson N, Papac L, Broomandkhoshbacht N, Callan K, Harney ร‰, Iliev L, Lawson AM, Michel M, Stewardson K, Zalzala F, Rohland N, Kappelhoff-Beckmann S, Both F, Winger D, Neumann D, Saalow L, Krabath S, Beckett S, Van Twest M, Faulkner N, Read C, Barton T, Caruth J, Hines J, Krause-Kyora B, Warnke U, Schuenemann VJ, Barnes I, Dahlstrรถm H, Clausen JJ, Richardson A, Popescu E, Dodwell N, Ladd S, Phillips T, Mortimer R, Sayer F, Swales D, Stewart A, Powlesland D, Kenyon R, Ladle L, Peek C, Grefen-Peters S, Ponce P, Daniels R, Spall C, Woolcock J, Jones AM, Roberts AV, Symmons R, Rawden AC, Cooper A, Bos KI, Booth T, Schroeder H, Thomas MG, Helgason A, Richards MB, Reich D, Krause J, Schiffels S. The Anglo-Saxon migration and the formation of the early English gene pool. Nature. 2022 Oct;610(7930):112-119. doi: 10.1038/s41586-022-05247-2. Epub 2022 Sep 21. Erratum in: Nature. 2022 Nov;611(7934):E3. doi: 10.1038/s41586-022-05429-y. PMID: 36131019; PMCID: PMC9534755. https://pmc.ncbi.nlm.nih.gov/articles/PMC9534755/

[38] The migration of Germanic societies to England in the early medieval period, including Angles, Saxons, Jutes, and Friesians, was characterized by social structures that influenced the genetic landscape. Evidence from studies suggest these societies operated with strong patrilineal customs, where inheritance and identity were passed through male lines. 

Impact on Population Genetics and Y Lineages:

  • High-Status Male Reproductive Advantage: Early Anglo-Saxon elites, particularly those with higher social and economic standing, were able to support more surviving children, which allowed their Y-chromosome lineages to increase disproportionately.
  • Gradual Loss of Low-Status Lines: The reverse was true for low-status or land-poor males, who may have faced higher infant mortality, delayed marriage, or enforced celibacy, resulting in the gradual disappearance of their paternal lines.
  • Patrilocal Residence: The practice of patrilocality, where wives moved to the husband’s community, meant that Y-chromosome (paternal) signals often reflected the origin of the male, while mitochondrial DNA (maternal) might reflect a more local origin.
  • Cultural Hitchhiking: The social structure likely caused “cultural hitchhiking,” where Y-chromosomes became closely tied to social groups, enhancing the spread of specific “star-shaped” male lineages associated with elites.
  • Genetic Shift: Studies have indicated a substantial increase in continental Northern European ancestry in eastern England during this periodโ€”up to 76% in some areasโ€”often linked to these Germanic populations.
  • Long-Term Impact: This structural, patrilineal-driven reproduction resulted in a lasting legacy on the English gene pool, with high-status male lineages having a greater influence on the modern population.

These societal patterns of inheritance, marriage, and social stratification, rather than just raw numbers of migrants, played a key role in the rapid expansion of Germanic ancestry in England.

See:

Gretzinger, J., Sayer, D., Justeau, P. et al. The Anglo-Saxon migration and the formation of the early English gene pool. Nature 610, 112โ€“119 (2022). https://doi.org/10.1038/s41586-022-05247-2

Thomas MG, Stumpf MP, Hรคrke H. Evidence for an apartheid-like social structure in early Anglo-Saxon England. Proc Biol Sci. 2006 Oct 22;273(1601):2651-7. doi: 10.1098/rspb.2006.3627. PMID: 17002951; PMCID: PMC1635457. https://pmc.ncbi.nlm.nih.gov/articles/PMC1635457/

Blรถcher, Jens & Vallini, Leonardo & Velte, Maren & Eckel, Raphael & Guyon, Lรฉa & Winkelbach, Laura & Thomas, Mark & Gharehbaghi, Nadia & Mitchell, Cassandra & Schรผmann, Jonas & Kรถhler, Sophie & Seyr, Elsa & Krichel, Katharina & Rau, Sophie & Hirsch, Jana & Duras, Jana & Klement, Kristin & Wilkenhรถner, Miriam & Vetterdietz, Lisa & Burger, Joachim. (2025). Historic Genomes Uncover Demographic Shifts and Kinship Structures in Post-Roman Central Europe. 10.1101/2025.03.01.640862. https://www.researchgate.net/publication/389635889_Historic_Genomes_Uncover_Demographic_Shifts_and_Kinship_Structures_in_Post-Roman_Central_Europe/citation/download

Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post-Neolithic Y-chromosome bottleneck. Nat Commun. 2024 Apr 24;15(1):3243. doi: 10.1038/s41467-024-47618-5. PMID: 38658560; PMCID: PMC11043392. https://pmc.ncbi.nlm.nih.gov/articles/PMC11043392/

[39] Early medieval England (c. 450โ€“850 CE) witnessed significant demographic shifts, with genetic evidence indicating that up to 76 percent of the ancestry of individuals in eastern and southern England originated from continental North Sea regions, such as modern-day Germany and Denmark. This influx was not a single event but a complex, multi-century process of migration and interaction. 

Regional Differences: This process was not uniform; Eastern and Southern England show higher levels of North Sea/Germanic ancestry, while Western and Northern regions retained higher levels of indigenous Brythonic-related ancestry. 

Autosomal Diversity & Admixture: The period was characterized by widespread mixing between incoming continental North Sea groups and local Romano-British populations. This resulted in an overall increase in genetic diversity in the autosomal (whole-genome) DNA, reflecting a patchwork of local and foreign ancestry, with higher levels of North Sea ancestry observed in eastern England.

Y-DNA Bottlenecks & “Survivor” Lineages: Despite the increased autosomal diversity, Y-chromosome DNA (paternal lines) tells a different story. The influx resulted in a severe, narrowed representation of certain paternal lineages. The early medieval period saw a decline in pre-existing insular R1b-L21 lines in the east.

Rise of New Male Lineages: In their place, Y-DNA haplogroups often associated with North Sea Germanic populations, such as I1 and R1a, increased significantly. These lineages, along with specific R1b sub-clades like U106, were often carried by highly successful, high-status males who successfully intermarried or replaced the older male population, reducing the overall diversity of male lines.

Continued Continental Contact: Later waves of migration, including those bringing ancestry related to Iron Age France and other continental zones, contributed further to the genetic landscape but often intermarried with these already established, dominant, Germanic-linked male lineages, reinforcing the Y-DNA bottleneck effect.

See:

Robertson, Lauren, Combined genetics and archaeology data reveal origins of the early English gene pool, 27 Sep 2022, Front Line Genomics, https://frontlinegenomics.com/combined-genetics-and-archaeology-data-reveal-origins-of-the-early-english-gene-pool/

Joscha Gretzinger and Stephan Schiffels, Transformations in early medieval England: the perspective from population genetics, 5 October 2022, Current Archaeology, Issue 392, https://the-past.com/feature/transformations-in-early-medieval-england/

Richards, Martin, The Anglo-Saxon migration and the formation of the early English gene pool, 17 Aug 2022, Nature, https://doi.org/10.1038/s41586-022-05247-2 , https://www.academia.edu/111305156/The_Anglo_Saxon_migration_and_the_formation_of_the_early_English_gene_pool

Max Planck Institute, The Anglo-Saxon migration: new insights from genetics, 21 Sep 2021, Popular Archaeology, Spring 2026, https://popular-archaeology.com/article/the-anglo-saxon-migration-new-insights-from-genetics/

[40] The scenario described is a well-recognized pattern in population genetics and molecular anthropology, particularly when studying Y-chromosome haplogroups in mountainous, isolated, or formerly tribal regions. This phenomenon highlights the contrast between long-term continuity (resulting from regional drift) and short-term, explosive expansion (resulting from warfare or patrilineal elite dominance). 

Dynamics of Micro-Regional Genetic Drift:

  • Isolation and Drift: When male mobility is limitedโ€”due to geography, social structure, or low population densityโ€”communities drift genetically, creating high concentrations of specific subclades that differ from neighboring valleys.
  • The “Bottleneck” Illusion: These high concentrations, or “local peaks,” are often misread in modern sampling as a sharp population bottleneck (a massive die-off). In reality, they are usually the result of a small founder population expanding over time, amplified by the fact that only a few men with specific lineages successfully reproduced (a “founder effect”).

See:

Lell JT, Wallace DC. The peopling of Europe from the maternal and paternal perspectives. Am J Hum Genet. 2000 Dec;67(6):1376-81. doi: 10.1086/316917. Epub 2000 Nov 9. PMID: 11078473; PMCID: PMC1287914. https://pmc.ncbi.nlm.nih.gov/articles/PMC1287914/

Cox MP, Hammer MF. A question of scale: Human migrations writ large and small. BMC Biol. 2010 Jul 21;8:98. doi: 10.1186/1741-7007-8-98. PMID: 20659353; PMCID: PMC2908064. https://pmc.ncbi.nlm.nih.gov/articles/PMC2908064/

Furlan E, Stoklosa J, Griffiths J, Gust N, Ellis R, Huggins RM, Weeks AR. Small population size and extremely low levels of genetic diversity in island populations of the platypus, Ornithorhynchus anatinus. Ecol Evol. 2012 Apr;2(4):844-57. doi: 10.1002/ece3.195. PMID: 22837830; PMCID: PMC3399204. https://pmc.ncbi.nlm.nih.gov/articles/PMC3399204/

[41] History of Anglo-Saxon England, Wikipedia, This page was last edited on 28 April 2026, https://en.wikipedia.org/wiki/History_of_Anglo-Saxon_England

[42] Numbered Areas in Maps:

Number AreasNumbered Areas

1. Ystrad Tywi
2. Ceredigion
3. Brycheiniog
4. Glywysing
5. Gwent
7. Buellt
9. Dogfeiling
10. Ergyng
11. Caer Gloui
12. Deywr
13. Suth Rig (Surrey)
14. Middle-Seaxe (Middlesex)
15. Spaldingas / Sweod Ora
16. Herstingas
17. North Engles
18. South Engles
20. Morgannwg
23. Buchan
24. Strathearn
33. Brecknock
34. Monmouth
35. Glamorgan
37. Pembroke
38. Montgomery
39. Uรญ Cahan (O’Cahan)
40. Fir Manach (Fermanagh)
41. Clandeboye
42. Iveagh
44. West Brรฉifne
45. East Brรฉifne
46. Uรญ Farrells (O’Farrell)
47. Uรญ Conchobhair (O’Connor)
48. Uรญ Ceallaigh (O’Kelly)
49. Uรญ Flaithbheartaigh (O’Flaherty)
50. Muineachรกn (Monaghan)
51. Iveragh
52. Dรบiche Ealla (Duhallow)
53. Mรบscraรญ (Muskerry)
54. Bhรฉara (Beare)
55. Cairbrigh (Carbery)

[43] By the mid-seventh century, the Kingdom of East Anglia frequently fell under the dominance of the expanding Kingdom of Mercia. While initially a powerful kingdom, East Anglia was under heavy pressure, with kings such as Sigeberht and Ecgric killed by the Mercian king Penda in the early 640s, and later under total control by Mercian rulers such as Offa. 

This regional pressure and the subsequent devastation by the Danish Great Heathen Army in the late ninth century created significant shifts in population and loyalty: 

Final Absorption: Eventually, these shifted loyalties saw many inhabitants in the region begin to identify as “English” and support the Wessex kings against the Danes, leading to its final incorporation into the kingdom of England under Edward the Elder in the early 10th century.

Mercian Hegemony (Seventh-Eighth Century): East Anglia was often reduced to a puppet state or client kingdom, with Mercian kings dominating the East Anglian political structure, culminating in direct control under Offa of Mercia in 794.

Danish Invasion (Ninth Century): ‘The Great Heathen Army’ landed in East Anglia in 865, and in 869, they defeated and killed the last native king, St. Edmund the Martyr.

Shifts in Loyalty and Population: The Viking conquest turned East Anglia into a central part of the Danelaw. This led to a significant Scandinavian, or Danish, settlement alongside the native Anglo-Saxon population.

See:

Kingdom of East Anglia, Wikipedia, This page was last edited on 25 March 2026, https://en.wikipedia.org/wiki/Kingdom_of_East_Anglia

List of monarchs of East Anglia, Wikipedia, This page was last edited on 1 February 2026, https://en.wikipedia.org/wiki/List_of_monarchs_of_East_Anglia

Iles, Alex, The Great heathen Army ‘The Vaiking Invasion, YouTube, https://www.youtube.com/watch?v=AsN3cGsnkDU

[44] Kingdom of East Anglia, Wikipedia, This page was last edited on 25 March 2026, https://en.wikipedia.org/wiki/Kingdom_of_East_Anglia

List of monarchs of East Anglia, Wikipedia, This page was last edited on 1 February 2026, https://en.wikipedia.org/wiki/List_of_monarchs_of_East_Anglia

[45] Kingdom of East Anglia, Wikipedia, This page was last edited on 25 March 2026, https://en.wikipedia.org/wiki/Kingdom_of_East_Anglia

Abernathey, Susan, Offa, Anglo-Saxon King of Mercia, 18 Apr 2021, The Freelance History Writer, https://thefreelancehistorywriter.com/2014/04/18/offa-anglo-saxon-king-of-mercia/

[46] A brief history of Offaโ€™s Dyke, 25, Apr 2015, History Extra, https://www.historyextra.com/period/anglo-saxon/a-brief-history-of-offas-dyke/

[47] McIntosh, Matthew A. , Vikings in East Anglia: Conquest and Impact , 24 APR 2017, Brewminate, https://brewminate.com/vikings-in-east-anglia-conquest-and-impact/

Johnson, Ben, Invaders! Angles, Saxons and Vikings, Historic UK, https://www.historic-uk.com/HistoryUK/HistoryofBritain/Invaders/

Kingdom of East Anglia, Wikipedia, This page was last edited on 25 March 2026, https://en.wikipedia.org/wiki/Kingdom_of_East_Anglia

Great Heathen Army, Wikipedia, This page was last edited on 12 February 2026, https://en.wikipedia.org/wiki/Great_Heathen_Army

Weiss, Daniel, The Viking Great Army, Mar/Apr 2018, Archaeology Magazine, https://archaeology.org/issues/march-april-2018/features/viking-great-army/

[48] McIntosh, Matthew A. , Vikings in East Anglia: Conquest and Impact , 24 APR 2017, Brewminate, https://brewminate.com/vikings-in-east-anglia-conquest-and-impact/

The Vikings in Britain, 13 Jan 2011, Historical Association, https://www.history.org.uk/primary/resource/3867/the-vikings-in-britain-a-brief-history

[49] Whitelock, Dorothy. “Alfred”. Encyclopedia Britannica, 24 Mar. 2026, https://www.britannica.com/biography/Alfred-king-of-Wessex

McIntosh, Matthew A. , Vikings in East Anglia: Conquest and Impact , 24 APR 2017, Brewminate, https://brewminate.com/vikings-in-east-anglia-conquest-and-impact/

[50] By rebuilding society and creating a haven, King Alfred the Great laid the structural foundations for the eventual unification of England. Alfredโ€™s rebuilding and defensive efforts created a magnetic pull for Anglo-Saxons looking to escape the Danelaw. His reforms transformed Wessex into a beacon of stability through several key initiatives: 

  • The Burghal System: Alfred established a network of 33 fortified towns (burhs) across his kingdom. These ensured that no West Saxon was ever more than a day’s ride from safety. This defensive security allowed refugee populations to settle and rebuild their lives without constant fear of raiding.
  • Reforming the Military: He reorganized the Anglo-Saxon fyrd (military), splitting his forces so that one half was on duty guarding the kingdom while the other tended to their fields and homes. This allowed society and agriculture to thrive, which was essential to supporting the influx of migrants.
  • Literacy and Education: Recognizing the cultural toll of the Viking invasions, Alfred fostered a massive educational revival. He encouraged the translation of important Latin texts into Old English, creating a centralized administrative class and fostering a shared cultural and religious identity that unified native West Saxons and newcomers.

Refugees were not treated as outsiders; they were actively incorporated into the military and political structure. This influx of displaced peoples from Mercia and Northumbria helped pool vital resources, warriors, and scholars in Wessex. By unifying these disparate Anglo-Saxon groups under one banner, Alfred set the stage for his successorsโ€”like his grandson, Athelstanโ€”to reconquer the Danelaw and forge a single, unified English state.

See:

Wessex, Wikipedia, This page was last edited on 16 May 2026, https://en.wikipedia.org/wiki/Wessex

Lockett, Charles J., The Danelaw: Partition and Reconstruction in Early Medieval England, 6 Nov 2023, Medieval Ware, https://www.medievalware.com/blog/danelaw-england-partitioned/

Whitelock, Dorothy. “Alfred”. Encyclopedia Britannica, 24 Mar. 2026, https://www.britannica.com/biography/Alfred-king-of-Wessex

[51] The reconquest of the Danelaw (899โ€“924) was a massive strategic expansion led by King Edward the Elder and his sister, ร†thelflรฆd (Lady of the Mercians). By establishing heavily fortified frontier towns (burhs) and winning decisive battles, they systematically dismantled Viking rule in central and eastern England.

Key Campaigns and Timeline:

  • The Turning Point (910): Following the decisive defeat of a northern Viking army at the Battle of Tettenhall, Edward and ร†thelflรฆd were able to go on the offensive.
  • Conquering the Midlands (917): ร†thelflรฆdโ€™s Mercian forces launched a massive assault, capturing major Danish strongholds including Derby and Leicester. Edward simultaneously advanced from the south, fortifying strategic sites and pushing into Essex and East Anglia.
  • Fall of East Anglia (917โ€“918): Following a coordinated offensive in 917, the Danish army of East Anglia was overwhelmed. By 918, East Anglia formally submitted and came under the direct control of Wessex.
  • Absorption of Mercia (918): Upon ร†thelflรฆdโ€™s sudden death in June 918, Edward marched into Mercia, overthrew her daughter ร†lfwynn, and consolidated the territory under direct West Saxon rule.

Long-Term Significance:

This aggressive campaign not only secured the eastern Midlands but effectively ended the independence of the Danelaw, giving the kings of Wessex dominion over all lands south of the Humber. This laid the essential political and military groundwork for Edward’s son, ร†thelstan, to become the first King of all England

See:

History of Anglo-Saxon England, Wikipedia, This page was last edited on 28 April 2026, https://en.wikipedia.org/wiki/History_of_Anglo-Saxon_England

Edward the Elder, Wikipedia, This page was last edited on 23 March 2026, https://en.wikipedia.org/wiki/Edward_the_Elder

Crowther, David, 10 English Reconquest, 2011, The History of England, https://thehistoryofengland.co.uk/blog/2011/01/21/10-english-reconquest/

Wessex, Wikipedia, This page was last edited on 16 May 2026, https://en.wikipedia.org/wiki/Wessex

[52] History of Anglo-Saxon England, Wikipedia, This page was last edited on 28 April 2026, https://en.wikipedia.org/wiki/History_of_Anglo-Saxon_England

Wessex, Wikipedia, This page was last edited on 16 May 2026, https://en.wikipedia.org/wiki/Wessex

Kingdon of Wessex, World History Encyclopedia, Accessed 1 May 2026, https://www.worldhistory.org/timeline/Kingdom_of_Wessex/

Britannica Editors. “Wessex”. Encyclopedia Britannica, 20 Jun. 2025, https://www.britannica.com/place/Wessex-historical-kingdom

[53] Edgar, King of England, Wikipedia, This page was last edited on 8 March 2026, https://en.wikipedia.org/wiki/Edgar,_King_of_England

[54] Taxation in medieval England, Wikipedia, This page was last edited on 30 January 2026, https://en.wikipedia.org/wiki/Taxation_in_medieval_England

Hide (unit), Wikipedia, This page was last edited on 23 April 2026, https://en.wikipedia.org/wiki/Hide_(unit)

Burghal Hidage, Wikipedia, This page was last edited on 28 March 2026, https://en.wikipedia.org/wiki/Burghal_Hidage

Britannica Editors. “hide”. Encyclopedia Britannica, 20 Jul. 1998, https://www.britannica.com/topic/hide-English-land-unit 

Wareham, A., Fiscal policies and the institution of a tax state in Anglo-Saxon England within a comparative context1. The Economic History Review, 2012, 65: 910-931. https://doi.org/10.1111/j.1468-0289.2011.00624.x

Hides and the Tribal Hidage, 13 Sep 2013, Medieval Histories, https://www.medieval.eu/hides-and-the-tribal-hidage/

[55] Burh, Wikipedia, This page was last edited on 4 August 2025, https://en.wikipedia.org/wiki/Burh

Hill, David; Rumble, Alexander R., eds. The Defence of Wessex: The Burghal Hidage and Anglo-Saxon Fortifications. Manchester: Manchester University Press 1996

Haslam, Jeremy, The Burghal Hidage and the West Saxon burhs: a reappraisal, Anglo-Saxon England, 45, 2017, 139-80, https://www.academia.edu/36005682/The_Burghal_Hidage_and_the_West_Saxon_burhs_a_reappraisal

Rumble, A. R. The Defence of Wessex: the Burghal Hidage and Anglo-Saxon Fortifications. Manchester University Press 1996