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Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies

Carl M. Kadie, View ORCID ProfileDavid Heckerman
doi: https://doi.org/10.1101/154682
Carl M. Kadie
Microsoft Research;
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David Heckerman
Human Longevity, Inc.
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Abstract

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.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted January 03, 2018.
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Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies
Carl M. Kadie, David Heckerman
bioRxiv 154682; doi: https://doi.org/10.1101/154682
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Ludicrous Speed Linear Mixed Models for Genome-Wide Association Studies
Carl M. Kadie, David Heckerman
bioRxiv 154682; doi: https://doi.org/10.1101/154682

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