CRAN/E | COMBAT

COMBAT

A Combined Association Test for Genes using Summary Statistics

Installation

About

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) doi:10.1534/genetics.117.300257.

Key Metrics

Version 0.0.4
R ≥ 3.2.0
Published 2018-01-14 2285 days ago
Needs compilation? no
License GPL-2
CRAN checks COMBAT results

Downloads

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Maintainer

Maintainer

Minghui Wang

m.h.wang@live.com

Authors

Minghui Wang
Yiyuan Liu
Shizhong Han

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

COMBAT archive

Depends

mvtnorm
corpcor
R ≥ 3.2.0

Suggests

parallel