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Explore Your Global Ancestry

Discover more about your ancestry
with chromosome level analysis from Genomelink.

$69 $69
Sample report

Deep analysis you won’t find anywhere else

Genomelink’s proprietary algorithm analyzes your raw DNA data at the chromosome level for a more complete picture of your ancestry.

Each one of your chromosomes tells a unique story about who you are. That's because as chromosomes are passed down from generation to generation, they "reshuffle" at the individual level. As each reshuffling is random, over many generations this leads to tremendous diversity of origin. It's why two siblings can have different ancestry results, and why it's so important to examine your DNA data at the chromosome level.

Introducing XGMix – for deeper DNA analysis

This algorithm offers unique analysis of your DNA you won’t find anywhere else.

XGMix provides the user with a detailed picture of their ancestry as reflected by their individual chromosomes. Our genetic makeup is the result of our ancestors' journeys, tribulations, and love stories through time. These aspects might surface in you, your close relatives, or later on in your descendants.

More detailed results

XGMix can provide more specific ancestry results than approaches from other providers.

More predictive power

XGMix uses comprehensive reference populations and a proprietary algorithm to surpass the ancestry prediction accuracy of other providers.

Chromosome level analysis

XGMix has custom-trained models for each chromosome to more accurately predict local ancestry.

The XGMix algorithm was specially designed to achieve state-of-the-art accuracy, even with limited data. It can help provide you with a more detailed picture of your ancestry – right down to the genetic signatures on your chromosomes.

What other Genomelinkers say

  • avatar

    Justin

    US

    Detailed science AND fun!

    I really enjoyed this report, and as a former researcher I am a big fan of the scholarly approach to explaining the algorithm, sample populations and other details, sample characteristics and inferential statistics! I’m finding my results really useful in terms of the health info provided. It’s been really fun learning about my steppe pastoralist ancestors, that has never come up before but makes a lot of intuitive sense to me. Great site!

  • avatar

    Anna Marie

    US

    Revealed new details about me

    I was pleasantly surprised by Genomelink. It provided some new details about my genetic heritage and went into greater depth than I expected.

  • avatar

    Rory

    US

    A wealth of information

    I love that the report breaks down details at a chromosome level and really explains where each element of my ancestry came from

Explore Your Global Ancestry

Deep analysis you won’t find anywhere else
Sample report

The next-best thing to time travel

Genomelink offers special tools to help you dive deeper into your ancestry.

3D globe

Explore your ancestral geography with our interactive 3D map.

Chromosome breakdown

See exactly how your ancestry breaks down at the chromosome level.

Learn More

Discover eye-opening facts about more than 20 of your potential common ancestor populations.

Learn more about who you are
and where you come from

Now with over 20 unique articles explaining your ancestral heritage.

Arctic

Native Peoples of North America

Native Peoples of Amazon and Caribbean

Native Peoples of Andes

Maritime East Asia

Mainland East Asia

Southeast Asia

Austronesian

Dravidian

Oceanian

Italian

Balkan

West Asian

Iberian

Eastern European

Northwestern Europe

Scandinavian

North African

West African

East African

Near East

African Hunter Gatherer

Backed by science

Carlos D. Bustamante

Dr. Carlos D. Bustamante is an internationally recognized leader in the application of data science and genomics technology to problems in medicine, agriculture, and biology. He was named a MacArthur Fellow in 2010,and currently Professor of Biomedical Data Science, Genetics at Stanford University.

Alexander Ioanidis

Dr. Alexander Ioannidis (PhD, MPhil) is a research fellow in the Stanford School of Medicine (Department of Biomedical Data Science), his work focuses on applying computational methods to problems in genomics and population genetics.

Razib Khan

Razib Khan has degrees in biology and biochemistry from the University of Oregon. He studied genetics at the graduate level at UC Davis. He helped develop ancestry algorithms for Family Tree DNA and National Geographic. He has worked in the personal genomics industry for 8 years.

The authors present a new simple, accurate, and easily trained methods for identifying and annotating ancestry along the genome (local ancestry). This method (XGMix) based on gradient boosted trees, which, while being accurate, is also simple to use, and fast to train, taking minutes on consumer-level laptops.

Scientific paper PDF

FAQ

What is XGmix?

XGMix is a State-of-the-Art method for Local Ancestry Inference based on XGBoost systems that comes with pre-trained sets for each chromosome. XGMix consists of two layers of stacked gradient boosted trees (a genomic window-specific layer and a window aggregating smoother) that can infer local ancestry with classification probabilities along each individual chromosome. A first level of parallel XGBoosts trees performs an initial estimation of the ancestry. A unique XGBoost then passes the initial estimates through a sliding window and outputs the final ancestry estimates.

What data is the algorithm based on?

The genetic variants used for XGMix are single nucleotide polymorphims (SNPs).

What does XGmix provide? (Value of the report)

XGMix provides the end user with a detailed picture of their ancestry history as reflected by their individual chromosomes. Our genetic makeup is the result of our ancestors' journeys, tribulations and love stories through time and some of these aspects might surface in you, your close relatives or later on in your descendants. Get ready to travel back in time and let us know how this information resonates with you.

What is the difference from 23andme, Ancestry?

Ancestry inference is a common problem addressed by AI methods and a known limitation for their successful application to Real World Data (RWD) is their poor performance on admixed individuals. This lack of performance is mainly due to the lack of properly labeled reference populations required to train models and better deployment of existing algorithms. XGMix has proprietary reference populations and algorithm design that together surpass ancestry accuracy prediction by other providers.

Why does each chromosome have a different proportion of ethnicities?

We are multitudes. Although each one of our chromosomes are currently travelling together they have their own evolutionary history separated from each other. Each one of our ancestors received a copy for each chromosome from their parents and just before passing them down to their descendants they were reshulffled at the individual chromosome level. Every reshuffling is random and over generations this is reflected in the diversity of origin exhibited by each individual chromosome.