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Optimal Genomic Control in Large-scale Genetic Associations for Binary Diseases

2021-03-26

Abstract excerpt

Complex computation and approximate solution hinder the application of generalized linear mixed models (GLMM) into genome-wide association studies. We extended GRAMMAR to handle binary diseases by considering genomic breeding values (GBVs) estimated in advance as a known predictor in genomic logit regression, and then controlled polygenic effects by regulating downward genomic heritability. Using simulations and c...

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Literature Corpus work
585f795a-cdae-50ca-848a-7e92777a287d
DOI
10.21203/rs.3.rs-318017/v2
Open publication

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Optimal Genomic Control in Large-scale Genetic Associations for Binary DiseasesDOI 10.21203/rs.3.rs-318017/v2
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