SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases.

ABSTRACT: Identification of gene-environment interaction (G × E) is important in understanding the etiology of complex diseases. However, partially due to the lack of power, there have been very few replicated G × E findings compared to the success in marginal association studies. The existing G × E testing methods mainly focus on improving the power for individual markers. In this paper, we took a different strategy and proposed a set-based gene-environment interaction test (SBERIA), which can improve the power by reducing the multiple testing burdens and aggregating signals within a set. The major challenge of the signal aggregation within a set is how to tell signals from noise and how to determine the direction of the signals. SBERIA takes advantage of the established correlation screening for G

SUBMITTER: Jiao S 

PROVIDER: S-EPMC3713231 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature