Article

Hierarchical Generalized Linear Mixed Model for Genome-wide Association Analysis

2021-03-11

Abstract excerpt

In genome-wide association analysis (GWAS) for binary traits, we stratified the genomic generalized linear mixed model (GLMM) into two hierarchies—the GLMM regarding genomic breeding values (GBVs) and a generalized linear regression of the normally distributed GBVs to the tested marker effects. In the first hierarchy, the GBVs were predicted by solving for the genomic best linear unbiased prediction for GLMM with...

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Literature Corpus work: 2666dafb-17e5-5bc1-82a3-3913aa865bf6
DOI: 10.1101/2021.03.10.434742

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