Nottingham Respiratory Biomedical Research Unit, Division of Therapeutics and Molecular Medicine, University Hospital of Nottingham, Nottingham, United Kingdom.
PLoS One. 2011;6(5):e19382. doi: 10.1371/journal.pone.0019382. Epub 2011 May 20.
Lung function measures are heritable traits that predict population morbidity and mortality and are essential for the diagnosis of chronic obstructive pulmonary disease (COPD). Variations in many genes have been reported to affect these traits, but attempts at replication have provided conflicting results. Recently, we undertook a meta-analysis of Genome Wide Association Study (GWAS) results for lung function measures in 20,288 individuals from the general population (the SpiroMeta consortium).
To comprehensively analyse previously reported genetic associations with lung function measures, and to investigate whether single nucleotide polymorphisms (SNPs) in these genomic regions are associated with lung function in a large population sample.
We analysed association for SNPs tagging 130 genes and 48 intergenic regions (+/-10 kb), after conducting a systematic review of the literature in the PubMed database for genetic association studies reporting lung function associations.
The analysis included 16,936 genotyped and imputed SNPs. No loci showed overall significant association for FEV(1) or FEV(1)/FVC traits using a carefully defined significance threshold of 1.3×10(-5). The most significant loci associated with FEV(1) include SNPs tagging MACROD2 (P = 6.81×10(-5)), CNTN5 (P = 4.37×10(-4)), and TRPV4 (P = 1.58×10(-3)). Among ever-smokers, SERPINA1 showed the most significant association with FEV(1) (P = 8.41×10(-5)), followed by PDE4D (P = 1.22×10(-4)). The strongest association with FEV(1)/FVC ratio was observed with ABCC1 (P = 4.38×10(-4)), and ESR1 (P = 5.42×10(-4)) among ever-smokers.
Polymorphisms spanning previously associated lung function genes did not show strong evidence for association with lung function measures in the SpiroMeta consortium population. Common SERPINA1 polymorphisms may affect FEV(1) among smokers in the general population.
肺功能指标是可遗传的特征,可预测人群发病率和死亡率,也是慢性阻塞性肺疾病(COPD)的诊断依据。已有研究报道,许多基因的变异会影响这些特征,但复制尝试的结果却存在冲突。最近,我们对来自普通人群的 20288 名个体的肺功能指标进行了全基因组关联研究(GWAS)结果的荟萃分析(SpiroMeta 联盟)。
全面分析先前报道的与肺功能指标相关的遗传关联,并研究这些基因组区域的单核苷酸多态性(SNP)是否与大样本人群的肺功能相关。
我们对在 PubMed 数据库中进行了与肺功能关联的遗传关联研究的文献进行了系统性回顾,分析了与肺功能关联的 130 个基因和 48 个基因间区域(+/-10kb)的 SNP 标记物与肺功能指标的关联。
该分析包括 16936 个已分型和推断的 SNP。使用精心定义的显著性阈值 1.3×10(-5),没有发现任何基因座与 FEV(1)或 FEV(1)/FVC 特征具有总体显著相关性。与 FEV(1)最显著相关的基因座包括标记 MACROD2(P=6.81×10(-5))、CNTN5(P=4.37×10(-4))和 TRPV4(P=1.58×10(-3))的 SNP。在曾吸烟者中,SERPINA1 与 FEV(1)的相关性最显著(P=8.41×10(-5)),其次是 PDE4D(P=1.22×10(-4))。与 FEV(1)/FVC 比值相关性最强的是 ABCC1(P=4.38×10(-4))和 ESR1(P=5.42×10(-4))。
跨越先前与肺功能相关的基因的多态性与 SpiroMeta 联盟人群的肺功能指标没有很强的关联证据。常见的 SERPINA1 多态性可能会影响普通人群中吸烟者的 FEV(1)。