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Literature DB >> 21892150

FaST linear mixed models for genome-wide association studies.

Christoph Lippert¹, Jennifer Listgarten, Ying Liu, Carl M Kadie, Robert I Davidson, David Heckerman.

Abstract

We describe factored spectrally transformed linear mixed models (FaST-LMM), an algorithm for genome-wide association studies (GWAS) that scales linearly with cohort size in both run time and memory use. On Wellcome Trust data for 15,000 individuals, FaST-LMM ran an order of magnitude faster than current efficient algorithms. Our algorithm can analyze data for 120,000 individuals in just a few hours, whereas current algorithms fail on data for even 20,000 individuals (http://mscompbio.codeplex.com/).

Mesh：

Year: 2011 PMID： 21892150 DOI： 10.1038/nmeth.1681

Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 28.547

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