An analytical comparison of the principal component method and the mixed effects model for association studies in the presence of cryptic relatedness and population stratification

Human Heredity

Volumn 76, Issue 1, 2013, Pages 1-9

  Wang, Kai ^a   Hu, Xijian ^b   Peng, Yingwei ^c  

^a UNIVERSITY OF IOWA   (United States)

^b XINJIANG UNIVERSITY   (China)

^c QUEEN S UNIVERSITY   (Canada)

Author keywords

Cryptic relatedness; Genetic association; Mixed effects model; Population stratification; Principal component

Indexed keywords

ANALYSIS OF VARIANCE; ANALYTIC METHOD; ARTICLE; GENETIC ASSOCIATION; HUMAN; INTERMETHOD COMPARISON; INVALIDITY; MIXED EFFECT MODEL; POPULATION STRUCTURE; PRINCIPAL COMPONENT ANALYSIS; SIMULATION; VALIDITY;

EID: 84880988712     PISSN: 00015652     EISSN: 14230062     Source Type: Journal    
DOI: 10.1159/000353345     Document Type: Article

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