ArticleGenetics2014
Fast and efficient estimation of individual ancestry coefficients.
Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 387 papers.
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Who cites it
387 citing papers in PubMed.
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- Population genomics reveals gene flow and positive selection patterns in the wine-related yeast Hanseniaspora uvarum.Stress biology · 2026Article
- Genetic diversity and phylogenetic relationships in white lupin.BMC plant biology · 2026Article
- ADAMIXTURE: adaptive first-order optimization for biobank-scale genetic clustering.Bioinformatics (Oxford, England) · 2026Article
- Homothallic or Heterothallic? A Genomic Investigation Into the Sexual Capabilities of the Ascomycete Fungus Clonostachys rosea.Molecular ecology · 2026Article
- Genomic Data Describe Population Structure but Struggle to Estimate Directed Connectivity Networks.Molecular ecology resources · 2026Article
- Mixed Support for Pleistocene Sea-Level Fluctuations in Promoting the Diversification of Anole Lizards in the Northern Lesser Antilles.Molecular ecology · 2026Article
- Article
327 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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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