Tracing human genetic histories and natural selection with precise local ancestry inference

Local ancestry inference is crucial for unraveling demographic histories, discovering selection signals, and including admixed individuals in genomic studies for improved equity and portability. To date, the precision and resolution of local ancestry inference were limited by technical and dataset issues. To address them, we present Orchestra, a model we train on over 10,000 single-origin individuals from 35 worldwide populations that demonstrates superior accuracy in benchmarking analyzes. We employ Orchestra to shed light on the demographic history of Latin Americans, finding trace ancestries supported by historical records. We then deploy it to offer insight on the debated Ashkenazi Jewish origins, highlighting their South European heritage. Finally, Orchestra enables us to map selection signatures, identifying trace Scandinavian ancestry in British samples and unveiling an immune-rich region linked to respiratory infections passed down from the Viking conquests. Our work significantly advances the field of local ancestry inference, highlighting its use in admixed populations.

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Publication Details

Journal
Nature Communications
Published
2025-05-16
DOI
https://doi.org/10.1038/s41467-025-59936-3
Citations
5
Primary Topic
Forensic and Genetic Research
Type
article
Field-Weighted Citation Impact
9.09
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article

Tracing human genetic histories and natural selection with precise local ancestry inference

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5 citations
Nature Communications
Forensic and Genetic Research
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article

Tracing human genetic histories and natural selection with precise local ancestry inference

Andrew Terpolovsky, Karatuğ Ozan Bircan, Haley Pedersen, Varuna Bamunusinghe, Marcelinus R. Hatorangan, Puya G. Yazdi, Adriano De Marino, Manfred Grabherr, Sandra Bohn, Jon Lerga-Jaso, Umar Shahbaz Khan, Abdallah Amr Mahmoud, Biljana Novković, Deepu Unnikrishnan, Charlie Manson, Alex Osama
article en
5 citations

Abstract

Local ancestry inference is crucial for unraveling demographic histories, discovering selection signals, and including admixed individuals in genomic studies for improved equity and portability. To date, the precision and resolution of local ancestry inference were limited by technical and dataset issues. To address them, we present Orchestra, a model we train on over 10,000 single-origin individuals from 35 worldwide populations that demonstrates superior accuracy in benchmarking analyzes. We employ Orchestra to shed light on the demographic history of Latin Americans, finding trace ancestries supported by historical records. We then deploy it to offer insight on the debated Ashkenazi Jewish origins, highlighting their South European heritage. Finally, Orchestra enables us to map selection signatures, identifying trace Scandinavian ancestry in British samples and unveiling an immune-rich region linked to respiratory infections passed down from the Viking conquests. Our work significantly advances the field of local ancestry inference, highlighting its use in admixed populations.

Nature CommunicationsVol. 16(1)
Wested (US), General Oceanics (United States) (US)
Zero hunger
Openalex Percentile: Top 2%
Forensic and Genetic Research
9.09
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