Unknown

Dataset Information

Enhanced methods for local ancestry assignment in sequenced admixed individuals.


ABSTRACT: Inferring the ancestry at each locus in the genome of recently admixed individuals (e.g., Latino Americans) plays a major role in medical and population genetic inferences, ranging from finding disease-risk loci, to inferring recombination rates, to mapping missing contigs in the human genome. Although many methods for local ancestry inference have been proposed, most are designed for use with genotyping arrays and fail to make use of the full spectrum of data available from sequencing. In addition, current haplotype-based approaches are very computationally demanding, requiring large computational time for moderately large sample sizes. Here we present new methods for local ancestry inference that leverage continent-specific variants (CSVs) to attain increased performance over existing ap

SUBMITTER: Brown R 

PROVIDER: S-EPMC3990492 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature