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Article

Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling.

BMC genomics - 4 Feb 2022

Onifade Maryam, Roy-Gagnon Marie-Hélène, Parent Marie-Élise, Burkett Kelly M

Abstract excerpt

BACKGROUND: Mixed models are used to correct for confounding due to population stratification and hidden relatedness in genome-wide association studies. This class of models includes linear mixed models and generalized linear mixed models. Existing mixed model approaches to correct for population substructure have been previously investigated with both continuous and case-control response variables. However, they...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 35120458
DOI: 10.1186/s12864-022-08297-y
PMCID: PMC8815214

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