A multi-locus genetic association test for a dichotomous trait and its secondary phenotype
作者： Han Zhang , Colin O Wu , Yifan Yang , Sonja I Berndt , Stephen J Chanock
关键词: Locus (genetics) 、 Genetic association 、 Heritability 、 Trait 、 Random effects model 、 Multiple comparisons problem 、 Genome-wide association study 、 Computational biology 、 Genetic marker 、 Biology
摘要: Genetic association studies often collect information on secondary phenotypes related to the primary disease status. In many situations, are only measured in subjects with condition. It would be advantageous model trait and phenotype together if they share certain level of genetic heritability. We propose a family multi-locus testing procedures detect composite between set markers two traits (the phenotype), order identify genes influencing both traits. The proposed test is derived from random effect variance components, each presenting one trait, incorporates selection procedure for seeking optimal represent sources effects. conduct simulation evaluate performance apply method genome-wide study prostate cancer wi...
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