FaST linear mixed models for genome-wide association studies
Top Cited Papers
- 4 September 2011
- journal article
- Published by Springer Nature in Nature Methods
- Vol. 8 (10), 833-835
- https://doi.org/10.1038/nmeth.1681
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/).Keywords
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