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Fast and Efficient Estimation of Individual Ancestry Coefficients

Open access
Frichot, Eric, Mathieu, François, Trouillon, Théo, Bouchard, Guillaume, François, Olivier·2014·Genetics

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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Metadata

Authors
Frichot, E., Mathieu, F., Trouillon, T., Bouchard, G., & François, O.
Venue
Genetics
Published
2014-04-01
Volume
196
Issue
4
Pages
973-983
ISSN
  • 0016-6731 (ISSN-L)
  • 1943-2631
OpenAlex
W2032456334
Cited by
931
References
6
FWCI
13.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fast and Efficient Estimation of Individual Ancestry Coefficients. https://app.cochat.ai/papers/10.1534/genetics.113.160572
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Frichot, E., Mathieu, F., Trouillon, T., Bouchard, G., & François, O. (2014). Fast and Efficient Estimation of Individual Ancestry Coefficients. Genetics. https://doi.org/10.1534/genetics.113.160572

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