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FaST linear mixed models for genome-wide association studies

FaST linear mixed models for genome-wide association studies

This video was recorded at NIPS Workshops, Sierra Nevada 2011. 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).
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 10, 2015
Date Modified in MERLOT:
February 10, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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