Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan.

ABSTRACT: For genomewide association (GWA) studies in family-based designs, we propose a novel two-stage strategy that weighs the association P values with the use of independently estimated weights. The association information contained in the family sample is partitioned into two orthogonal components--namely, the between-family information and the within-family information. The between-family component is used in the first (i.e., screening) stage to obtain a relative ranking of all the markers. The within-family component is used in the second (i.e., testing) stage in the framework of the standard family-based association test, and the resulting P values are weighted using the estimated marker ranking from the screening step. The approach is appealing, in that it ensures that all the markers are

SUBMITTER: Ionita-Laza I 

PROVIDER: S-EPMC1950836 | biostudies-literature | 2007 Sep

REPOSITORIES: biostudies-literature