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Article

Optimizing genomic control in mixed model associations with binary diseases.

Briefings in bioinformatics - 17 Jan 2022

Song Yuxin, Yang Li'ang, Jiang Li, Hao Zhiyu, Yang Runqing, Xu Pao

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 reduced polygenic effects by regulating downward genomic heritability to control false negative...

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PMID: 34643219
DOI: 10.1093/bib/bbab426

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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