- Analysis Name and Accession
Analysis Name: A Genome-Wide Association Meta-Analysis Of Eicosapentaenoic Acid (EPA)
Analysis Accession: pha003872.1
- Analysis Description
- The Cohorts for Heart and Aging Research in Genomic Epimiology (CHARGE) consortium was formed to facilitate genome-wide association study meta-analyses and replication among large, well-phenotyped cohort studies. Although originally founded by five cohort studies (Age, Gene, Environment, Susceptibility Study - Reykjavik (AGES), Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), Framingham Heart Study, Rotterdam Study, CHARGE has incorporated many genomic and phenotypic data from other cohorts, depending on the phenotype.
Association analysis between genotype and eicosapentaenoic acid (EPA) was done separately within each study cohort according to a pre-specified plan. All analyses used robust standard errors. For each SNP, GWAS-specific results were combined using inverse-variance weighted meta-analysis in METAL.
- Analysis Methods
- All studies conducted linear regression analysis using an additive genetic model, i.e. regression of phenotype on the number of reference alleles, or equivalently the imputed dosage for imputed genotypes. Genomic control correction was applied to each study prior to the meta-analysis.
- Analysis Plots
The following plots were generated by dbGaP based on the data that was submitted and are not
necessarily from any publications noted under Selected Publications.
- Selected Publications