作者
Christoph Lippert, Jennifer Listgarten, Ying Liu, Carl M Kadie, Robert I Davidson, David Heckerman
发表日期
2011/10
期刊
Nature methods
卷号
8
期号
10
页码范围
833-835
出版商
Nature Publishing Group US
简介
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/).
引用总数
学术搜索中的文章
C Lippert, J Listgarten, Y Liu, CM Kadie, RI Davidson… - Nature methods, 2011