Back

Retracing Human Genetic Histories and Natural Selection Using Precise Local Ancestry Inference

Lerga-Jaso, J.; Novkovic, B.; Unnikrishnan, D.; Bamunusinghe, V.; Hatorangan, M.; Manson, C.; Pedersen, H.; Osama, A.; Terpolovsky, A.; Bohn, S.; De Marino, A.; Mahmoud, A.; Bircan, K.; Khan, U.; Grabherr, M.; Yazdi, P.

2023-09-13 genomics
10.1101/2023.09.11.557177 bioRxiv
Show abstract

In an increasingly diverse world, including admixed individuals in genomic studies is imperative for equity and portability. A crucial first step is precise local ancestry inference (LAI). We have developed Orchestra, a LAI model with unprecedented accuracy, and trained on over 10,000 single-origin individuals from 35 worldwide populations. We employed Orchestra to delve into genetic relationships and demographic histories, with a focus on Latin Americans, a prime example of admixture, and the Ashkenazi Jewish, whose origins have long been debated. Finally, Orchestra enabled us to map signatures of selection, notably identifying trace Scandinavian ancestry in British samples and unveiling an immune-rich region linked to respiratory infections. Our work advances the field of LAI and holds promise for improvements in future applications for admixed populations. One-Sentence SummaryOrchestra unveils Latino and Ashkenazi ancestral roots and a candidate Viking locus under selection in the British population

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.