Article
Control for Population Structure and Relatedness for Binary Traits in Genetic Association Studies via Logistic Mixed Models.
American journal of human genetics - 7 Apr 2016
Chen Han, Wang Chaolong, Conomos Matthew P, Stilp Adrienne M, Li Zilin, Sofer Tamar, Szpiro Adam A, Chen Wei, Brehm John M, Celedón Juan C, Redline Susan, Papanicolaou George J, Thornton Timothy A, Laurie Cathy C, Rice Kenneth, Lin Xihong
Abstract excerpt
Linear mixed models (LMMs) are widely used in genome-wide association studies (GWASs) to account for population structure and relatedness, for both continuous and binary traits. Motivated by the failure of LMMs to control type I errors in a GWAS of asthma, a binary trait, we show that LMMs are generally inappropriate for analyzing binary traits when population stratification leads to violation of the LMM's...
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