Browse all analyses within this study
- Analysis Name and Accession
Analysis Name: A Genome-Wide Association Meta-Analysis Of FEV1 In Cohorts Of European Ancestry
Analysis Accession: pha003895.1
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- 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. CHARGE has incorporated many genomic and phenotypic data from other cohorts, depending on the phenotype. The basic design was estimation of SNP effects on the outcome of FEV1 as a mesasure of severity of obstructive lung disease. The discovery meta-analysis was conducted in 5 studies with GWAS data with European ancestry participants with pulmonary function (FEV1, FVC) measures. Association analysis between genotype and FEV1 was conducted separately within each study cohort according to a pre-specified plan. For each SNP, GWAS-specific results were combined using inverse-variance weighted meta-analysis in METAL.
- Analysis Methods
- Each study independently implemented a predefined GWAS analysis plan. For the FEV1 trait, association with SNP genotypes used a 1 df additive model adjusted for covariates. Models were implemneted using ProbABEL (ARIC), R (CHS), linear mixed effects models with fixed effects for SNPs and random effects for individuals correlated due to family membership (FHS), and MACH2QTL (implemented in GRIMP, RS-I and RS-II). Study-specific interaction estimates (β) and standard errors were combined by fixed effects inverse variance weighted meta-analysis using METAL
- 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