Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

Background: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes.Methods: We constructed a polygenic risk score using a genome wide association study of lung function (FEV1 and FEV1/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV1/FVC Findings: The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1·81 [95% CI 1·74–1·88] and non-European (1·42 [1·34–1·51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7·99 (6·56–9·72) in European ancestry and 4·83 (3·45–6·77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0·80 [0·79–0·81] vs 0·76 [0·75 0·76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern. Interpretation: A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth.</div

Overlap of genetic risk between interstitial lung abnormalities and idiopathic pulmonary fibrosis

Rationale Interstitial lung abnormalities (ILA) are associated with the highest genetic risk locus for IPF; however, the extent to which there is additional overlap with IPF, or unique associations among those with ILA is not known. Objectives To perform a genome-wide association study (GWAS) of ILA. Methods: ILA and the subpleural-predominant subtype were assessed on chest computed tomography (CT) scans in the AGES, COPDGene, Framingham Heart, ECLIPSE, MESA, and SPIROMICS studies. We performed a GWAS of ILA in each cohort and combined the results using a meta-analysis. We assessed for overlapping associations in independent GWASs of IPF. Measurements and Main Results Genome-wide genotyping data were available in 1,699 ILA cases and 10,274 controls. The MUC5B promoter variant rs35705950 was significantly associated with both ILA (p=2.6x10-27) and subpleural ILA (p=1.6x10-29). We discovered novel genome-wide associations near IPO11 (rs6886640, p=3.8x10-8 ) and FCF1P3 (rs73199442, p=4.8x10-8 ) with ILA, and HTRE1 (rs7744971, p=4.2x10-8 ) with subpleural-predominant ILA. These novel associations were not associated with IPF. Of 12 previously reported IPF GWAS loci, 5 (DPP9, DSP, FAM13A, IVD, and MUC5B) were significantly associated (p<0.05/12) with ILA. Conclusions In a GWAS of ILA in six studies, we confirmed the association with a MUC5B promoter variant and found strong evidence for an effect of previously described IPF loci; however, novel ILA associations were not associated with IPF. These findings highlight common and suggest distinct genetically-driven biologic pathways between ILA and IPF