Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis.
- Authors
- Hobbs, Brian D; de Jong, Kim; Lamontagne, Maxime; BossΓ©, Yohan; Shrine, Nick; Artigas, MarΓa Soler; Wain, Louise V; Hall, Ian P; Jackson, Victoria E; Wyss, Annah B; London, Stephanie J; North, Kari E; Franceschini, Nora; Strachan, David P; Beaty, Terri H; Hokanson, John E; Crapo, James D; Castaldi, Peter J; Chase, Robert P; Bartz, Traci M; Heckbert, Susan R; Psaty, Bruce M; Gharib, Sina A; Zanen, Pieter; Lammers, Jan W; Oudkerk, Matthijs; Groen, H J; Locantore, Nicholas; Tal-Singer, Ruth; Rennard, Stephen I; Vestbo, JΓΈrgen; Timens, Wim; ParΓ©, Peter D; Latourelle, Jeanne C; Dupuis, JosΓ©e; O'Connor, George T; Wilk, Jemma B; Kim, Woo Jin; Lee, Mi Kyeong; Oh, Yeon-Mok; Vonk, Judith M; de Koning, Harry J; Leng, Shuguang; Belinsky, Steven A; Tesfaigzi, Yohannes; Manichaikul, Ani; Wang, Xin-Qun; Rich, Stephen S; Barr, R Graham; Sparrow, David; Litonjua, Augusto A; Bakke, Per; Gulsvik, Amund; Lahousse, Lies; Brusselle, Guy G; Stricker, Bruno H; Uitterlinden, AndrΓ© G; Ampleford, Elizabeth J; Bleecker, Eugene R; Woodruff, Prescott G; Meyers, Deborah A; Qiao, Dandi; Lomas, David A; Yim, Jae-Joon; Kim, Deog Kyeom; Hawrylkiewicz, Iwona; Sliwinski, Pawel; Hardin, Megan; Fingerlin, Tasha E; Schwartz, David A; Postma, Dirkje S; MacNee, William; Tobin, Martin D; Silverman, Edwin K; Boezen, H Marike; Cho, Michael H; COPDGene Investigators; ECLIPSE Investigators; LifeLines Investigators; SPIROMICS Research Group; International COPD Genetics Network Investigators; UK BiLEVE Investigators; International COPD Genetics Consortium
- Year
- 2017
- Journal
- Nature genetics
- PMID
- 28166215
- DOI
- 10.1038/ng.3752
- PMCID
- PMC5381275
Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 Γ 10) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.
Study design showing cohorts used in each stage of the analysis. ARIC = Atherosclerosis Risk in Communities Study, B58 = British 1958 Birth Cohort, CHS = Cardiovascular Health Study, COPACETIC = COPD Pathology: Addressing Critical gaps, Early Treatment & Diagnosis and Innovative Concepts, ECLIPSE = Evaluation of COPD Longitudinally to Identify Predictive Surrogate End-points, eQTL = Lung Expression Quantitative Trait Loci Study, FHS = Framingham Heart Study, KARE = Korean Association Resource project, MESA = Multi-Ethnic Study of Atherosclerosis, NETT-NAS = National Emphysema Treatment Trial/Normative Aging Study, RS = Rotterdam Study, SPIROMICS = Subpopulations and intermediate outcome measures in COPD study, EOCOPD = Boston Early-Onset COPD Study, ICGN = International COPD Genetics Network, TCGS = Transcontinental COPD Genetics Study, UK BiLEVE = UK Biobank Lung Exome Variant Evaluation; NHW = Non-Hispanic white, AA = African American, EA = European American. * Studies without genome-wide array genotyping (custom genotyping)
LLM interpretation
This figure is a study design diagram consisting of two tables that detail the cohorts used in a two-stage analysis. Stage 1 lists 26 studies with their respective COPD case and control counts, with European ancestry studies shaded in grey and a total of 15,256 cases and 47,936 controls. Stage 2 shows the testing of top results in the UK BiLEVE study, divided into "Never Smokers" and "Heavy Smokers," totaling 9,498 cases and 9,748 controls.
Manhattan plot showing P values for Stage 1 analysis (small open diamonds) with overlay of overall meta-analysis P values for SNPs analyzed in UK BiLEVE Stage 2 analysis (filled circles). Gene names in gray are previously described COPD or lung function (FEV1 or FEV1/FVC) loci; black are novel loci discovered in this study. The Stage 1 cohorts with available genotyping data (Supplementary Figures 1aβv) and the UK BiLEVE cohort determined the sample size for each top variant. The red dashed line indicates the threshold for genome-wide significance (P value < 5Γ10β8).
LLM interpretation
This is a Manhattan plot showing $-\log_{10}$ P-values across chromosomes 1β22 for a genetic association study. The x-axis represents genomic position by chromosome, and the y-axis represents the statistical significance of SNPs, with a red dashed line indicating the genome-wide significance threshold ($P < 5 \times 10^{-8}$). Data is presented as small open diamonds (Stage 1 analysis) and filled circles (meta-analysis), with specific loci labeled by gene name in gray (previously described) or black (novel).
aβd Regional association for novel lociLocusZoom plots showing regional association of variants at the four novel COPD loci. The point size is proportional to the sample size, where Stage 1 cohorts with available genotyping data (Supplementary Figures 1aβv) and the UK BiLEVE cohort determined the sample size for each top variant.
LLM interpretation
This figure consists of four LocusZoom plots (aβd) showing regional genetic associations for novel COPD loci on chromosomes 3, 6, 18, and 10. Each plot displays $-\log_{10}(p\text{-value})$ on the left y-axis against genomic position on the x-axis, with a secondary y-axis for recombination rate (blue line). Variants are color-coded by their linkage disequilibrium ($r^2$) relative to the lead SNP, with point size proportional to the sample size.
Genetic correlation (using LD score regression) between COPD and other traitsShading and numbers represents strength of correlation. An asterisk indicates nominal (P < 0.05) significance, and a double asterisk indicates significant after Bonferroni correction for number of pairwise comparisons. fev1fvc and fev1 = lung function (FEV1/FVC ratio and FEV1 from CHARGE/SpiroMeta4, asthma taken from the asthma GWAS by the GABRIEL Consortium43, ild = pulmonary fibrosis from Fingerlin et al.8,9, bilSmk = subset of smokers in the UK BiLEVE study7, smkCpd = cigarettes per day smoking from the Tobacco and Genetics (TAG) Consortium45, smkFormer = current versus former smokers from TAG, smkOnset = age of smoking initiation from TAG, smkEver = ever versus never smoking from TAG. cad = coronary artery disease from the CARDIoGRAM study50, height51 and bmi (body mass index)52 from the GIANT consortium, bmdLumbar and bmdFemoral = lumbar and femoral bone mineral density, respectively, from the Genetic Factors for Osteoporosis (GeFOS) Consortium53.
LLM interpretation
This figure is a heatmap showing the genetic correlation ($r_g$) between COPD and various other traits, with a color scale ranging from -1.0 (blue) to 1.0 (red). Strong negative correlations are observed with lung function measures (fev1fvc: -0.9, fev1: -0.76), while positive correlations are seen with asthma (0.38) and cigarettes per day (0.25). Statistical significance is indicated by asterisks, with double asterisks denoting significance after Bonferroni correction for fev1fvc, fev1, and asthma.
| Name | Type |
|---|---|
| 1000 genomes phase1 CEU local | cohort |
| 1000 Genomes phase 1 CEU local | cohort |
| 1000 Genomes Project | cohort |
| 2010 Tobacco and Genetics Consortium GWAS local | cohort |
| 22 studies local | cohort |
| asthma | phenotype |
| asthma-associated trait loci local | variant |
| asthma-COPD overlap syndrome local | phenotype |
| BioCarta pathways local | drug |
| bone mineral density traits local | phenotype |
| Brigham and Womenβs Hospital/Channing Division of Network Medicine local | cohort |
| bronchodilator response in asthma local | phenotype |
| bronchodilator responsiveness local | phenotype |
| childhood-onset asthma local | phenotype |
| cigarettes | phenotype |
| COPD | phenotype |
| COPD-associated variant local | variant |
| COPDGene local | cohort |
| COPDGene AA local | cohort |
| COPDGene NHW local | cohort |
| COPDGene non-Hispanic whites local | cohort |
| COPD quantitative imaging GWAS local | cohort |
| coronary artery disease | phenotype |
| corticosteroid response asthma local | phenotype |
| current COPD study local | cohort |
| dbGaP | cohort |
| ECLIPSE local | cohort |
| European ancestry | cohort |
| European population | cohort |
| ever smoking | phenotype |
| ever-smoking status local | phenotype |
| exacerbations local | phenotype |
| FAM13 local | gene |
| four cohorts local | cohort |
| GABRIEL Consortium local | cohort |
| Gene Ontology terms local | drug |
| Groningen local | cohort |
| HapMap | cohort |
| hay fever local | phenotype |
| HHIP | gene |
| index SNP | cohort |
| KEGG pathways local | drug |
| %LAA-950 local | phenotype |
| Laval local | cohort |
| lead SNP | cohort |
| Lung eQTL dataset local | cohort |
| lung function | phenotype |
| NETT-NAS local | cohort |
| NHGRI-EBI GWAS catalog | cohort |
| nicotine dependence | phenotype |
| non-European samples local | cohort |
| Norway/GenKOLS local | cohort |
| osteoporosis | phenotype |
| overall meta-analysis local | cohort |
| Perc15 local | phenotype |
| Pi10 local | phenotype |
| post-bronchodilator lung function local | phenotype |
| pre-bronchodilator lung function local | phenotype |
| proxy SNP | variant |
| proxy SNPs | variant |
| pulmonary fibrosis | phenotype |
| pulmonary function decline local | phenotype |
| rs11865296 local | variant |
| rs7186831 local | variant |
| severe asthma local | phenotype |
| smoking | phenotype |
| smoking behaviour | phenotype |
| Stage 1 GWAS cohorts local | cohort |
| Stage 1 meta-analysis | cohort |
| Stage 1 studies local | cohort |
| Stage 2 meta-analysis local | cohort |
| study cohort | cohort |
| Tobacco and Genetics Consortium | cohort |
| top COPD loci local | variant |
| top smoking-associated SNPs local | variant |
| top SNPs | cohort |
| top variant local | variant |
| UBC local | cohort |
| UK BiLEVE | cohort |
| WAP local | phenotype |
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