heartgenes214

heartgenes214 is a multi-ethnic GWAS meta-analysis dataset for coronary
artery disease.

datasets

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.

Lerato E Magosi

getmstatistic

Quantifying Systematic Heterogeneity in Meta-Analysis

Jemma C Hopewell

Martin Farrall

heartgenes214 function

A data frame with seven variables:<dl class="dl-horizontal">
<dt><code>beta_flipped</code></dt><dd>Effect-sizes expressed as log odds ratios. Numeric</dd>
<dt><code>gcse</code></dt><dd>Standard errors</dd>
<dt><code>studies</code></dt><dd>Names of participating studies</dd>
<dt><code>variants</code></dt><dd>Names of genetic variants/SNPs</dd>
<dt><code>cases</code></dt><dd>Number of cases in each participating study</dd>
<dt><code>controls</code></dt><dd>Number of controls in each participating study</dd>
<dt><code>fdr214_gwas46</code></dt><dd>Flag indicating GWAS significant variants, 
 1: Not GWAS-significant, 2: GWAS-significant</dd>
</dl>

Format

heartgenes214. — heartgenes214

A data frame with seven variables:<dl class='dl-horizontal'>
<dt><code>beta_flipped</code></dt><dd>Effect-sizes expressed as log odds ratios. Numeric</dd>
<dt><code>gcse</code></dt><dd>Standard errors</dd>
<dt><code>studies</code></dt><dd>Names of participating studies</dd>
<dt><code>variants</code></dt><dd>Names of genetic variants/SNPs</dd>
<dt><code>cases</code></dt><dd>Number of cases in each participating study</dd>
<dt><code>controls</code></dt><dd>Number of controls in each participating study</dd>
<dt><code>fdr214_gwas46</code></dt><dd>Flag indicating GWAS significant variants, 
 1: Not GWAS-significant, 2: GWAS-significant</dd>
</dl>

heartgenes214: heartgenes214.

Description

Usage

Arguments

Format

Details