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Chunk #37 — Online Methods — Stage 2 – follow-up in independent studies (quantitative lung function)

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Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets.
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The details of the SpiroMeta consortium analysis (including contributing studies, spirometry details and methods) are described elsewhere15. In brief, this was an inverse variance weighted fixed effects meta-analysis of 17 studies with imputation to 1000 Genomes Project Phase 1 reference panel. Within each study, FEV1, FVC and FEV1/FVC were adjusted for age, age2, sex, height and population structure, separately for ever and never-smokers. Inverse normal transformed residuals were then tested for association within each smoking stratum assuming an additive genetic effect and then meta-analysed. Genomic control was applied to account for residual population structure. We only included SpiroMeta meta-analysis results in the meta-analysis in this study if Neffective > 70% (i.e. >70% of 38,199), where Neffective is the effective sample size after scaling for imputation quality15.