Genotypes of informative loci from 1000 Genomes data allude evolution and mixing of human populations.

ABSTRACT: Principal Component Analysis (PCA) projects high-dimensional genotype data into a few components that discern populations. Ancestry Informative Markers (AIMs) are a small subset of SNPs capable of distinguishing populations. We integrate these two approaches by proposing an algorithm to identify necessary informative loci whose removal from the data deteriorates the PCA structure. Unlike classical AIMs, necessary informative loci densely cover the genome, hence can illuminate the evolution and mixing history of populations. We conduct a comprehensive analysis to the genotype data of the 1000 Genomes Project using necessary informative loci. Projections along the top seven principal components demarcate populations at distinct geographic levels. Millions of necessary informative loci along

SUBMITTER: Padakanti S 

PROVIDER: S-EPMC8423758 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature