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/).
journal_name
Nat Methodsjournal_title
Nature methodsauthors
Lippert C,Listgarten J,Liu Y,Kadie CM,Davidson RI,Heckerman Ddoi
10.1038/nmeth.1681subject
Has Abstractpub_date
2011-09-04 00:00:00pages
833-5issue
10eissn
1548-7091issn
1548-7105pii
nmeth.1681journal_volume
8pub_type
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