A unifying framework for robust association testing, estimation, and genetic model selection using the generalized linear model.

ABSTRACT: The analysis of genome-wide genetic association studies generally starts with univariate statistical tests of each single-nucleotide polymorphism. The standard approach is the Cochran-Armitage trend test or its logistic regression equivalent although this approach can lose considerable power if the underlying genetic model is not additive. An alternative is the MAX test, which is robust against the three basic modes of inheritance. Here, the asymptotic distribution of the MAX test is derived using the generalized linear model together with the Delta method and multiple contrasts. The approach is applicable to binary, quantitative, and survival traits. It may be used for unrelated individuals, family-based studies, and matched pairs. The approach provides point and interval effect estimates

SUBMITTER: Loley C 

PROVIDER: S-EPMC3820468 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature