COMBAT: A Combined Association Test for Genes using Summary Statistics
Version 0.0.4

Genome-wide association studies (GWAS) have been widely used for identifying common variants associated with complex diseases. Due to the small effect sizes of common variants, the power to detect individual risk variants is generally low. Complementary to SNP-level analysis, a variety of gene-based association tests have been proposed. However, the power of existing gene-based tests is often dependent on the underlying genetic models, and it is not known a priori which test is optimal. Here we proposed COMBined Association Test (COMBAT) to incorporate strengths from multiple existing gene-based tests, including VEGAS, GATES and simpleM. Compared to individual tests, COMBAT shows higher overall performance and robustness across a wide range of genetic models. The algorithm behind this method is described in Wang et al (2017) .

Getting started

Package details

AuthorMinghui Wang, Yiyuan Liu, Shizhong Han
Date of publication2018-01-14 21:54:00 UTC
MaintainerMinghui Wang <[email protected]>
LicenseGPL-2
Version0.0.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("COMBAT")

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COMBAT documentation built on Jan. 15, 2018, 1:06 a.m.