FaST-LMM (Factored Spectrally Transformed Linear Mixed Models) is a tool for large genome-wide association studies (GWAS).
GWAS study; Genotype and phenotype; Machine learning
Listgarten J, Lippert C, Kadie CM, Davidson RI, Eskin E, Heckerman D "Improved linear mixed models for genome-wide association studies." Nat. Methods 2012; 9(6):525-6 https://doi.org/10.1038/nmeth.2037
PMID: 22669648
PMCID: PMC3597090
Lippert C, Listgarten J, Liu Y, Kadie CM, Davidson RI, Heckerman D "FaST linear mixed models for genome-wide association studies" Nat Methods. 2011 Sep 4;8(10):833-5. https://doi.org/10.1038/nmeth.1681
PMID: 21892150
Zou J, Lippert C, Heckerman D, Aryee M, Listgarten J "Epigenome-wide association studies without the need for cell-type composition" Nat Methods. 2014 Mar;11(3):309-11 https://doi.org/10.1038/nmeth.2815
PMID: 24464286
Widmer C, Lippert C, Weissbrod O, Fusi N, Kadie C, Davidson R, Listgarten J, Heckerman D "Further Improvements to Linear Mixed Models for Genome-Wide Association Studies " Sci Rep. 2014 Nov 12;4:6874. https://doi.org/10.1038/srep06874
PMID: 25387525
PMCID: PMC4230738
Heckerman D, Gurdasani D, Kadie C, Pomilla C, Carstensen T, Martin H, Ekoru K, Nsubuga RN, Ssenyomo G, Kamali A, Kaleebu P, Widmer C, Sandhu MS "Linear Mixed Model for Heritability Estimation That Explicitly Addresses Environmental Variation" Proc Natl Acad Sci U S A. 2016 Jul 5;113(27):7377-82 https://doi.org/10.1073/pnas.1510497113
PMID: 27382152
PMCID: PMC4941438
Lippert C, Xiang J, Horta D, Widmer C, Kadie C, Heckerman D, Listgarten J "Greater Power and Computational Efficiency for Kernel-Based Association Testing of Sets of Genetic Variants" Bioinformatics. 2014 Nov 15;30(22):3206-14 https://doi.org/10.1093/bioinformatics/btu504
PMID: 25075117
PMCID: PMC4221116
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