heartgenes214 is a multi-ethnic GWAS meta-analysis dataset for coronary artery disease.
A data frame with seven variables:
Effect-sizes expressed as log odds ratios. Numeric
Names of participating studies
Names of genetic variants/SNPs
Number of cases in each participating study
Number of controls in each participating study
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.
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