@article{lippert2011fast,
author = {Lippert, Christoph and Listgarten, Jennifer and Liu, Ying and Kadie, Carl and Davidson, Bob and Heckerman, David},
title = {FaST linear mixed models for genome-wide association studies},
year = {2011},
month = {October},
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/).},
url = {http://approjects.co.za/?big=en-us/research/publication/fast-linear-mixed-models-for-genome-wide-association-studies/},
pages = {833-835},
journal = {Nature Methods},
volume = {8},
edition = {Nature Methods},
}