Fast and accurate inference of local ancestry in Latino populations
Author(s) -
Yael Baran,
Bogdan Paşaniuc,
Sriram Sankararaman,
Dara G. Torgerson,
Christopher R. Gignoux,
Celeste Eng,
William Rodríguez-Cintrón,
Rocío Chapela,
Jean G. Ford,
Pedro C. Avila,
José RodríguezSantana,
Esteban G. Burchard,
Eran Halperin
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts144
Subject(s) - linkage disequilibrium , inference , haplotype , population , locus (genetics) , mendelian inheritance , hidden markov model , leverage (statistics) , demographic history , computer science , bayesian probability , biology , evolutionary biology , artificial intelligence , genetics , genetic variation , genotype , demography , sociology , gene
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).
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