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COMBAT  

A Combined Association Test for Genes using Summary Statistics
View on CRAN: Click here


Download and install COMBAT package within the R console
Install from CRAN:
install.packages("COMBAT")

Install from Github:
library("remotes")
install_github("cran/COMBAT")

Install by package version:
library("remotes")
install_version("COMBAT", "0.0.4")



Attach the package and use:
library("COMBAT")
Maintained by
Minghui Wang
[Scholar Profile | Author Map]
First Published: 2017-01-11
Latest Update: 2018-01-14
Description:
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) .
How to cite:
Minghui Wang (2017). COMBAT: A Combined Association Test for Genes using Summary Statistics. R package version 0.0.4, https://cran.r-project.org/web/packages/COMBAT. Accessed 05 May. 2025.
Previous versions and publish date:
0.0.2 (2017-01-11 01:49)
Other packages that cited COMBAT R package
View COMBAT citation profile
Other R packages that COMBAT depends, imports, suggests or enhances
Complete documentation for COMBAT
Functions, R codes and Examples using the COMBAT R package
Some associated functions: COMBAT . ext_simes . genetests . ld.Rsquare . 
Some associated R codes: COMBAT.R . extSimes.R . gates.R . ld.Rsquare.R . simpleM.R . vegas.R .  Full COMBAT package functions and examples
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