RE2C: Improved random effects meta-analysis (RE2C) accounting for...

In baolinwu/GSmeta: Various meta-analysis methods with main applications to genetic studies

Description

RE model accounts for fixed effects (FE) and heterogeneous effects in meta-analyzing potentially dependent GWAS. This implementation is based on the original software posted at http://software.buhmhan.com/RE2C with slight modification.

Usage

RE2C(beta, stders, sigma)

Arguments

beta	effect size estimates from n studies
stders	standard errors for the effct size estimates
sigma	the correlation matrix of effect size estimates

Value

RE2p

test p-value for overall effects (FE + RE)

RE2Cp

test p-value for heterogenenous effect conditional on the FE

LRT

LRT statistics for the FE and RE in additiona to the FE

References

Lin,D.Y. and Sullivan,P.F. (2009) Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects. Am J Hum Genet 85, 862<e2><80><93>872.

Han,B. and Eskin,E. (2011) Random-Effects Model Aimed at Discovering Associations in Meta-Analysis of Genome-wide Association Studies. The American Journal of Human Genetics 88, 586<e2><80><93>598.

Lee,C.H., Eskin,E., Han,B. (2017) Increasing the power of meta-analysis of genome-wide association studies to detect heterogeneous effects. Bioinformatics 33, i379<e2><80><93>i388.

baolinwu/GSmeta documentation built on May 24, 2019, 7:13 a.m.