Fast and efficient estimation of individual ancestry coefficients.

Abstract : Inference of individual ancestry coefficients, which is important for population genetic and association studies, is commonly performed using computer-intensive likelihood algorithms. With the availability of large population genomic data sets, fast versions of likelihood algorithms have attracted considerable attention. Reducing the computational burden of estimation algorithms remains, however, a major challenge. Here, we present a fast and efficient method for estimating individual ancestry coefficients based on sparse nonnegative matrix factorization algorithms. We implemented our method in the computer program sNMF and applied it to human and plant data sets. The performances of sNMF were then compared to the likelihood algorithm implemented in the computer program ADMIXTURE. Without loss of accuracy, sNMF computed estimates of ancestry coefficients with runtimes ∼10-30 times shorter than those of ADMIXTURE.
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Genetics, Genetics Society of America, 2014, 196 (4), pp.973-83
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https://hal.archives-ouvertes.fr/hal-01119670
Contributeur : Olivier Francois <>
Soumis le : lundi 23 février 2015 - 16:53:25
Dernière modification le : lundi 30 avril 2018 - 15:02:01

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Eric Frichot, François Mathieu, Théo Trouillon, Guillaume Bouchard, Olivier François. Fast and efficient estimation of individual ancestry coefficients.. Genetics, Genetics Society of America, 2014, 196 (4), pp.973-83. 〈hal-01119670〉

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