Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.,GigaScience

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Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.
GigaScience ( IF 11.8 ) Pub Date : 2020-06-03 , DOI: 10.1093/gigascience/giaa044
Benjamin B Chu ₁ , Kevin L Keys _{2,

3} , Christopher A German ₄ , Hua Zhou ₄ , Jin J Zhou ₅ , Eric M Sobel _{1,

6} , Janet S Sinsheimer _{1,

4,

6} , Kenneth Lange _{1,

6}

Affiliation

Consecutive testing of single nucleotide polymorphisms (SNPs) is usually employed to identify genetic variants associated with complex traits. Ideally one should model all covariates in unison, but most existing analysis methods for genome-wide association studies (GWAS) perform only univariate regression.

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