getmstatistic: Quantifying Systematic Heterogeneity in Meta-Analysis

Quantifying systematic heterogeneity in meta-analysis using R. The M statistic aggregates heterogeneity information across multiple variants to, identify systematic heterogeneity patterns and their direction of effect in meta-analysis. It's primary use is to identify outlier studies, which either show "null" effects or consistently show stronger or weaker genetic effects than average across, the panel of variants examined in a GWAS meta-analysis. In contrast to conventional heterogeneity metrics (Q-statistic, I-squared and tau-squared) which measure random heterogeneity at individual variants, M measures systematic (non-random) heterogeneity across multiple independently associated variants. Systematic heterogeneity can arise in a meta-analysis due to differences in the study characteristics of participating studies. Some of the differences may include: ancestry, allele frequencies, phenotype definition, age-of-disease onset, family-history, gender, linkage disequilibrium and quality control thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical statistical theory, documentation and examples.

Version:	0.2.2
Depends:	R (≥ 3.1.0)
Imports:	ggplot2 (≥ 1.0.1), gridExtra (≥ 0.9.1), gtable (≥ 0.1.2), metafor (≥ 1.9-6), psych (≥ 1.5.1), stargazer (≥ 5.1)
Suggests:	foreign (≥ 0.8-62), knitr (≥ 1.10.5), testthat, covr, rmarkdown
Published:	2021-05-09
DOI:	10.32614/CRAN.package.getmstatistic
Author:	Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
Maintainer:	Lerato E Magosi <magosil86 at gmail.com>
BugReports:	https://github.com/magosil86/getmstatistic/issues
License:	MIT + file LICENSE
URL:	https://magosil86.github.io/getmstatistic/
NeedsCompilation:	no
Citation:	getmstatistic citation info
Materials:	NEWS
In views:	MetaAnalysis
CRAN checks:	getmstatistic results

Documentation:

Reference manual:	getmstatistic.pdf
Vignettes:	The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis.

Downloads:

Package source:	getmstatistic_0.2.2.tar.gz
Windows binaries:	r-devel: getmstatistic_0.2.2.zip, r-release: getmstatistic_0.2.2.zip, r-oldrel: getmstatistic_0.2.2.zip
macOS binaries:	r-release (arm64): getmstatistic_0.2.2.tgz, r-oldrel (arm64): getmstatistic_0.2.2.tgz, r-release (x86_64): getmstatistic_0.2.2.tgz, r-oldrel (x86_64): getmstatistic_0.2.2.tgz
Old sources:	getmstatistic archive

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