heartgenes214: heartgenes214.
In magosil86/getspres: SPRE Statistics for Exploring Heterogeneity in Meta-Analysis

Description Usage Format Details Source

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

1	heartgenes214

A data frame with seven variables:

beta_flipped: Effect-sizes expressed as log odds ratios. Numeric
gcse: Standard errors
studies: Names of participating studies
variants: Names of genetic variants/SNPs
cases: Number of cases in each participating study
controls: Number of controls in each participating study
fdr214_gwas46: Flag indicating GWAS significant variants, 1: Not GWAS-significant, 2: GWAS-significant

It comprises summary data (effect-sizes and their corresponding standard errors) for 48 studies (68,801 cases and 123,504 controls), at 214 lead variants independently associated with coronary artery disease (P < 0.00005, FDR < 5%). Of the 214 lead variants, 44 are genome-wide significant (p < 5e-08). The meta-analysis dataset is based on individuals of: African American, Hispanic American, East Asian, South Asian, Middle Eastern and European ancestry.

The study effect-sizes have been flipped to ensure alignment of the effect alleles.

Standard errors were genomically corrected at the study-level.

Magosi LE, Goel A, Hopewell JC, Farrall M, on behalf of the CARDIoGRAMplusC4D Consortium (2017) Identifying systematic heterogeneity patterns in genetic association meta-analysis studies. PLoS Genet 13(5): e1006755. https://doi.org/10.1371/journal.pgen.1006755.

https://magosil86.github.io/getmstatistic/

magosil86/getspres documentation built on May 14, 2021, 10:03 p.m.