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Article

A generalized linear mixed model association tool for biobank-scale data.

Nature genetics - 1 Nov 2021

Jiang Longda, Zheng Zhili, Fang Hailing, Yang Jian

Abstract excerpt

Compared with linear mixed model-based genome-wide association (GWA) methods, generalized linear mixed model (GLMM)-based methods have better statistical properties when applied to binary traits but are computationally much slower. In the present study, leveraging efficient sparse matrix-based algorithms, we developed a GLMM-based GWA tool, fastGWA-GLMM, that is severalfold to orders of magnitude faster than the...

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PMID: 34737426
DOI: 10.1038/s41588-021-00954-4

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