A geographic history of human genetic ancestry

Describing the distribution of genetic variation across individuals is a fundamental goal of population genetics. We present a method that capitalizes on the rich genealogical information encoded in genomic tree sequences to infer the geographic locations of the shared ancestors of a sample of sequenced individuals. We used this method to infer the geographic history of genetic ancestry of a set of human genomes sampled from Europe, Asia, and Africa, accurately recovering major population movements on those continents. Our findings demonstrate the importance of defining the spatiotemporal context of genetic ancestry when describing human genetic variation and caution against the oversimplified interpretations of genetic data prevalent in contemporary discussions of race and ancestry.

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Publication Details

Journal
Science
Published
2025-03-27
DOI
https://doi.org/10.1126/science.adp4642
Citations
12
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
19.99
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article

A geographic history of human genetic ancestry

Gideon S. Bradburd, Jonathan Terhorst, Michael C. Gründler
12 citations
Science
Forensic and Genetic Research
19.99
article

A geographic history of human genetic ancestry

Gideon S. Bradburd, Jonathan Terhorst, Michael C. Gründler
article en
12 citations

Abstract

Describing the distribution of genetic variation across individuals is a fundamental goal of population genetics. We present a method that capitalizes on the rich genealogical information encoded in genomic tree sequences to infer the geographic locations of the shared ancestors of a sample of sequenced individuals. We used this method to infer the geographic history of genetic ancestry of a set of human genomes sampled from Europe, Asia, and Africa, accurately recovering major population movements on those continents. Our findings demonstrate the importance of defining the spatiotemporal context of genetic ancestry when describing human genetic variation and caution against the oversimplified interpretations of genetic data prevalent in contemporary discussions of race and ancestry.

ScienceVol. 387(6741)
University of Michigan (US)
Openalex Percentile: Top 1%
Forensic and Genetic Research
19.99
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