Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes
Wenjian Bi, Wei Zhou, Rounak Dey, Bhramar Mukherjee, Joshua Neil Sampson, Seunggeun Lee
The paper introduces POLMM, a mixed model for ordinal categorical phenotypes in GWAS, showing it is computationally efficient, controls type I error, and identifies more significant variants than existing methods.
The American Journal of Human Genetics · Apr 8, 2021Peer-reviewedGenetics