Explore Your Global Ancestry at the Chromosome level

The report is available for Genomelink users

Import your raw DNA data file from AncestryDNA, 23andMe, or MyHeritage to unlock your Global Ancestry report.

Sample report

Unique
XGMix algorithm

Chromosome level breakdown. Identifying and annotating ancestry along the genome

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 reshuffled 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.

XGMix can do
what others can't

It’s the latest technology from population genomics.

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.

Highest resolution ever

XGMix assigns ancestry with a higher resolution than approaches from other providers. Our patented algorithm can be tailored to be as precise as needed.

Robust ancestry prediction

XGMix has proprietary reference populations and algorithm design that together surpass ancestry prediction accuracy generated by other providers.

Chromosome level

XGMix is based on XGBoost systems that come with custom-trained models for each chromosome that can accurately infer local ancestry with classification probabilities along each individual chromosome.

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.

What other Genomelinkers say

  • avatar

    Justin

    US

    Detailed science AND fun!

    I am 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

Get ready to travel back in time

Set of tools to dive deep in your ancestry

3D globe

Our interactive 3D map provides an experience like you’ve never seen before.

Chromosome breakdown

You can dive deeper with the chromosome breakdown. Your ancestry journey will go to the next level of resolution.

Rich dynamic content

You’ll find new eye-opening facts about your ancestors. Our dedicated team made rich dynamic contents for more than 20 of your potential common ancestor populations.

Unique content

Unique articles for each ethnicity

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 is a geneticist and public intellectual who has worked in personal genomics in the private sector. have written for publications that include The New York Times, MIT Technology Review, City Journal, National Review & The Guardian, on a broad range of topics.

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
Copyright © 2020 Awakens, Inc. All rights reserved.