4.8 Article

FaST linear mixed models for genome-wide association studies

Journal

NATURE METHODS
Volume 8, Issue 10, Pages 833-U94

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1681

Keywords

-

Funding

  1. Wellcome Trust [076113, 085475]
  2. US National Institutes of Health [U10 AA008401]

Ask authors/readers for more resources

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/).

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available