FaST linear mixed models for genome-wide association studies
published: Jan. 23, 2012, recorded: December 2011, views: 387
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
We describe FaST-LMM, a linear mixed model for genome-wide association studies that scales linearly in the number of individuals in both runtime and memory use. Our algorithm is an order of magnitude faster than current efficient algorithms (EMMAX/P3D) on Wellcome Trust data with 15,000 individuals. On synthetic data, FaST-LMM can analyze 120,000 individuals in just a few hours, whereas the current algorithms are unable to analyze even 20,000 individuals (http://fastlmm.codeplex.com).
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !