Browse all analyses within this study
- Analysis Name and Accession
Analysis Name: A Genome-Wide Association Meta-Analysis Of SNP And SNP-By-Smoking Interaction (Ever/Never) For FEV1
Analysis Accession: pha003901.1
View association results in Genome Browser
- 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 and SNP-smoking interaction effects on the outcome of FEV1 as a measure of severity of obstructive lung disease. Smoking in this analysis was defined as a dichotomy (ever/never). The discovery meta-analysis was conducted in 19 studies with GWAS data with European ancestry participants with FEV1 and smoking data. Association analysis between genotype and genotype-smoking interaction with respect to 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 and SNP-smoking interaction used a 2 df test of the null hypothesis (βSNP = 0 and βinteraction = 0) in a model accounting for their covariance to generate a joint test of significance. 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