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ReAD  

Powerful Replicability Analysis of Genome-Wide Association Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ReAD", "1.0.1")



Attach the package and use:
library("ReAD")
Maintained by
Yan Li
[Scholar Profile | Author Map]
First Published: 2023-06-30
Latest Update: 2023-06-30
Description:
A robust and powerful approach is developed for replicability analysis of two Genome-wide association studies (GWASs) accounting for the linkage disequilibrium (LD) among genetic variants. The LD structure in two GWASs is captured by a four-state hidden Markov model (HMM). The unknowns involved in the HMM are estimated by an efficient expectation-maximization (EM) algorithm in combination with a non-parametric estimation of functions. By incorporating information from adjacent locations via the HMM, this approach identifies the entire clusters of genotype-phenotype associated signals, improving the power of replicability analysis while effectively controlling the false discovery rate.
How to cite:
Yan Li (2023). ReAD: Powerful Replicability Analysis of Genome-Wide Association Studies. R package version 1.0.1, https://cran.r-project.org/web/packages/ReAD. Accessed 20 Feb. 2025.
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