General framework for meta-analysis of rare variants in sequencing association studies.

ABSTRACT: We propose a general statistical framework for meta-analysis of gene- or region-based multimarker rare variant association tests in sequencing association studies. In genome-wide association studies, single-marker meta-analysis has been widely used to increase statistical power by combining results via regression coefficients and standard errors from different studies. In analysis of rare variants in sequencing studies, region-based multimarker tests are often used to increase power. We propose meta-analysis methods for commonly used gene- or region-based rare variants tests, such as burden tests and variance component tests. Because estimation of regression coefficients of individual rare variants is often unstable or not feasible, the proposed method avoids this difficulty by calculating

SUBMITTER: Lee S 

PROVIDER: S-EPMC3710762 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature