Authors
Yael Baran, Bogdan Pasaniuc, Sriram Sankararaman, Dara G Torgerson, Christopher Gignoux, Celeste Eng, William Rodriguez-Cintron, Rocio Chapela, Jean G Ford, Pedro C Avila, Jose Rodriguez-Santana, Esteban Gonzàlez Burchard, Eran Halperin
Publication date
2012/5/15
Journal
Bioinformatics
Volume
28
Issue
10
Pages
1359-1367
Publisher
Oxford University Press
Description
Motivation: It is becoming increasingly evident that the analysis of genotype data from recently admixed populations is providing important insights into medical genetics and population history. Such analyses have been used to identify novel disease loci, to understand recombination rate variation and to detect recent selection events. The utility of such studies crucially depends on accurate and unbiased estimation of the ancestry at every genomic locus in recently admixed populations. Although various methods have been proposed and shown to be extremely accurate in two-way admixtures (e.g. African Americans), only a few approaches have been proposed and thoroughly benchmarked on multi-way admixtures (e.g. Latino populations of the Americas).
Results: To address these challenges we introduce here methods for local ancestry inference which leverage the structure of linkage …
Total citations
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Scholar articles
Y Baran, B Pasaniuc, S Sankararaman, DG Torgerson… - Bioinformatics, 2012