- Analysis Name and Accession
Name: A Genome-Wide Association Meta-Analysis Of SNP And SNP-By-Smoking Interaction (Pack-Years) For FEV1
- 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 continuous variable (pack-years). 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 FEV1 association with SNP genotypes and SNP-pkyrs 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.
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