Hierarchical Generalized Linear Mixed Model for Genome-wide Association Analysis
Hengyu Zhang, Yang Liang, Yanan Xu, Xiaojing Zhou, Yuxin Song, Shuling Li, Runqing Yang
The paper introduces Hi-GLMM, a hierarchical generalized linear mixed model for GWAS of binary traits, showing improved statistical power and computational efficiency in analyzing maize and human disease data.
bioRxiv · Mar 10, 2021 · PreprintBioinformatics