Genome-wide gene-air pollution interaction analysis of lung function in 300,000 individuals

被引:11
作者
Melbourne, Carl A. [1 ]
Erzurumluoglu, A. Mesut [2 ]
Shrine, Nick [1 ]
Chen, Jing [1 ]
Tobin, Martin D. [1 ,3 ]
Hansell, Anna L. [4 ,5 ]
Wain, Louise, V [1 ,3 ]
机构
[1] Univ Leicester, Dept Hlth Sci, Leicester, Leics, England
[2] Univ Cambridge, MRC Epidemiol Unit, Cambridge, England
[3] Glenfield Hosp, Leicester Resp Biomed Res Ctr, Natl Inst Hlth Res, Leicester, Leics, England
[4] Univ Leicester, Ctr Environm Hlth & Sustainabil, Bennett Bldg,Univ Rd,Leicester, Leicester LE1 7HA, Leics, England
[5] Univ Leicester, Natl Inst Hlth Res Hlth Protect Res Unit Environm, Leicester, Leics, England
基金
英国惠康基金;
关键词
Gene-air pollution interactions; Air pollution; Genome-wide; Lung function; Chronic Obstructive Pulmonary Disease; UK Biobank; USE REGRESSION-MODELS; ENVIRONMENT INTERACTION; SOCIOECONOMIC-STATUS; FRASER-SYNDROME; BREAST-CANCER; SMOKING; ASSOCIATION; EXPOSURE; VARIANTS; EXPRESSION;
D O I
10.1016/j.envint.2021.107041
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: Impaired lung function is predictive of mortality and is a key component of chronic obstructive pulmonary disease. Lung function has a strong genetic component but is also affected by environmental factors such as increased exposure to air pollution, but the effect of their interactions is not well understood. Objectives: To identify interactions between genetic variants and air pollution measures which affect COPD risk and lung function. Additionally, to determine whether previously identified lung function genetic association signals showed evidence of interaction with air pollution, considering both individual effects and combined effects using a genetic risk score (GRS). Methods: We conducted a genome-wide gene-air pollution interaction analysis of spirometry measures with three measures of air pollution at home address: particulate matter (PM2.5 & PM10) and nitrogen dioxide (NO2), in approximately 300,000 unrelated European individuals from UK Biobank. We explored air pollution interactions with previously identified lung function signals and determined their combined interaction effect using a GRS. Results: We identified seven new genome-wide interaction signals (P < 5 x 10-8), and a further ten suggestive interaction signals (P < 5 x 10-7). Additionally, we found statistical evidence of interaction for FEV1/FVC between PM2.5 and previously identified lung function signal, rs10841302, near AEBP2, suggesting increased susceptibility as copies of the G allele increased (but size of the impact was small - interaction beta: -0.363 percentage points, 95% CI: -0.523, -0.203 per 5 mu g/m3). There was no observed interaction between air pollutants and the weighted GRS. Discussion: We carried out the largest genome-wide gene-air pollution interaction study of lung function and identified potential effects of clinically relevant size and significance. We observed up to 440 ml lower lung function for certain genotypes when exposed to mean levels of outdoor air pollution, which is approximately equivalent to nine years of average normal loss of lung function in adults.
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页数:11
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