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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 |
| Reference manual: | getmstatistic.pdf |
| Vignettes: |
The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis. |
| 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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.