Package: COMBAT 0.0.4

COMBAT: A Combined Association Test for Genes using Summary Statistics

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>.

Authors:Minghui Wang, Yiyuan Liu, Shizhong Han

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COMBAT.pdf |COMBAT.html
COMBAT/json (API)

# Install 'COMBAT' in R:
install.packages('COMBAT', repos = c('https://mw201608.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mw201608/combat/issues

On CRAN:

3.70 score 7 scripts 285 downloads 157 mentions 6 exports 2 dependencies

Last updated 3 years agofrom:9479df64b9. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 02 2025
R-4.5-winOKFeb 02 2025
R-4.5-macOKFeb 02 2025
R-4.5-linuxOKFeb 02 2025
R-4.4-winOKFeb 02 2025
R-4.4-macOKFeb 02 2025
R-4.3-winOKFeb 02 2025
R-4.3-macOKFeb 02 2025

Exports:COMBAText_simesgatesld.RsquaresimpleMvegas

Dependencies:corpcormvtnorm