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Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies

2017-06-23

Abstract excerpt

We have developed Ludicrous Speed Linear Mixed Models, a version of FaST-LMM optimized for the cloud. The approach can perform a genome-wide association analysis on a dataset of one million SNPs across one million individuals at a cost of about 868 CPU days with an elapsed time on the order of two weeks. A Python implementation is available at https://fastlmm.github.io/ . <h4>Significance</h4> Identifying SNP-p...

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Literature Corpus work
c24f50da-e980-5ff3-a228-5a8a475e30f8
DOI
10.1101/154682
Open publication

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