Efficient Bayesian mixed model analysis increases association power in large cohorts

Linear mixed models are a powerful statistical tool for identifying genetic associations and avoiding confounding. However, existing methods are computationally intractable in large cohorts, and may not optimize power. All existing methods require time cost O(MN(2)) (where N = #samples and M = #SNPs...

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Publicado en:Nat Genet
Autores principales: Loh, Po-Ru, Tucker, George, Bulik-Sullivan, Brendan K, Vilhjálmsson, Bjarni J, Finucane, Hilary K, Salem, Rany M, Chasman, Daniel I, Ridker, Paul M, Neale, Benjamin M, Berger, Bonnie, Patterson, Nick, Price, Alkes L
Formato: Artigo
Lenguaje:Inglês
Publicado: 2015
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4342297/
https://ncbi.nlm.nih.gov/pubmed/25642633
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ng.3190
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