Efficient analysis of large datasets and sex bias with ADMIXTURE.

BMC Bioinformatics

Pacific Biosciences, Menlo Park, California, USA.

Published: May 2016

AI Article Synopsis

  • The ADMIXTURE program is used to analyze genomic data for understanding human ancestry and diseases.
  • Two major improvements have been made to ADMIXTURE, allowing it to infer ancestry faster and handle data from related individuals efficiently.
  • The updated software also better accounts for X-chromosome data, enhancing its ability to identify sex-biased ancestry in diverse populations.

Article Abstract

Background: A number of large genomic datasets are being generated for studies of human ancestry and diseases. The ADMIXTURE program is commonly used to infer individual ancestry from genomic data.

Results: We describe two improvements to the ADMIXTURE software. The first enables ADMIXTURE to infer ancestry for a new set of individuals using cluster allele frequencies from a reference set of individuals. Using data from the 1000 Genomes Project, we show that this allows ADMIXTURE to infer ancestry for 10,920 individuals in a few hours (a 5 × speedup). This mode also allows ADMIXTURE to correctly estimate individual ancestry and allele frequencies from a set of related individuals. The second modification allows ADMIXTURE to correctly handle X-chromosome (and other haploid) data from both males and females. We demonstrate increased power to detect sex-biased admixture in African-American individuals from the 1000 Genomes project using this extension.

Conclusions: These modifications make ADMIXTURE more efficient and versatile, allowing users to extract more information from large genomic datasets.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877806PMC
http://dx.doi.org/10.1186/s12859-016-1082-xDOI Listing

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