- Analysis Name and Accession
Analysis Name: A Genome-Wide Association Meta-Analysis Of Eosinophil Count
Analysis Accession: pha003875.1
- 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 eosinophil count was conducted separately within each participating cohort according to a pre-specified plan. Meta-analyses were performed using inverse-variance weighted fixed-effects models to combine beta coefficients and standard errors from study level regression results for each SNP to derive a combined p-value. Study level results were corrected for genomic inflation factors (λGC) by incorporating study specific λGC estimates into the scaling of the standard errors (SE) of the regression coefficients. Meta-analyses were implemented using METAL.
- Analysis Methods
- A uniform analysis plan was established for conducting each study-level analyses, using square-root transformation of the eosinophil count to normalize the distribution of the phenotypic data. All studies conducted linear regression analysis using an additive genetic model, i.e. regression of phenotype on the allelic dosages for each SNP.
- 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