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


ABSTRACT:

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 <0·7 and FEV1 <80% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth.

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.

Funding

US National Institutes of Health, Wellcome Trust.

SUBMITTER: Moll M 

PROVIDER: S-EPMC7429152 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

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

Moll Matthew M   Sakornsakolpat Phuwanat P   Shrine Nick N   Hobbs Brian D BD   DeMeo Dawn L DL   John Catherine C   Guyatt Anna L AL   McGeachie Michael J MJ   Gharib Sina A SA   Obeidat Ma'en M   Lahousse Lies L   Wijnant Sara R A SRA   Brusselle Guy G   Meyers Deborah A DA   Bleecker Eugene R ER   Li Xingnan X   Tal-Singer Ruth R   Manichaikul Ani A   Rich Stephen S SS   Won Sungho S   Kim Woo Jin WJ   Do Ah Ra AR   Washko George R GR   Barr R Graham RG   Psaty Bruce M BM   Bartz Traci M TM   Hansel Nadia N NN   Barnes Kathleen K   Hokanson John E JE   Crapo James D JD   Lynch David D   Bakke Per P   Gulsvik Amund A   Hall Ian P IP   Wain Louise L   Weiss Scott T ST   Silverman Edwin K EK   Dudbridge Frank F   Tobin Martin D MD   Cho Michael H MH  

The Lancet. Respiratory medicine 20200701 7


<h4>Background</h4>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.<h4>Methods</h4>We constructed a polygenic risk score using a genome-wide association study of lung function (FEV<sub>1</sub> and FEV<sub>1</sub>/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We te  ...[more]

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