title: A new family-based association test via a least-squares method.
abstract: To test the association between a dichotomous phenotype and genetic marker based on family data, we propose a least-squares method using the vector of phenotypes and their cross products within each family. This new approach allows covariate adjustment and is numerically much simpler to implement compared to likelihood- based methods. The new approach is asymptotically equivalent to the generalized estimating equation approach with a diagonal working covariance matrix, thus avoiding some difficulties with the working covariance matrix reported previously in the literature. When applied to the data from Collaborative Study on the Genetics of Alcoholism, this new method shows a significant association between the marker rs1037475 and alcoholism.
authors.affiliation: Office of Biostatistics Research, National Heart, Lung, and Blood Institute, Bethesda, Maryland 20892, USA. yangso@nhlbi.nih.gov
authors.forename: Song
authors.initials: S
authors.lastname: Yang
authors.forename: Jungnam
authors.initials: J
authors.lastname: Joo
authors.forename: Ziding
authors.initials: Z
authors.lastname: Feng
authors.forename: Jing-Ping
authors.initials: JP
authors.lastname: Lin
mesh_terms: D005190:Family; D055106:Genome-Wide Association Study / Q000379:methods*; D006801:Humans; D016018:Least-Squares Analysis