Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Dongguk University Gyeongju Hospital, Dongguk University College of Medicine, Gyeongju, Korea.
Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea.
J Korean Med Sci. 2024 Nov 4;39(42):e275. doi: 10.3346/jkms.2024.39.e275.
A rapid decline in forced expiratory volume in 1 second (FEV1) is considered an important phenotype of the development of chronic obstructive pulmonary disease (COPD). However, the associations between specific genetic variants (single-nucleotide polymorphisms; SNPs) and this phenotype remain uncertain.
We enrolled 6,516 individuals from the Korean Genome and Epidemiology Study (KoGES). A rapid decline in FEV1 was defined as an annual decrease of FEV1 ≥ 60 mL/year. A multivariable logistic regression model was used to assess the associations between SNP variants and the rapid decline in FEV1. Considering the significant impact of smoking on lung function, a subgroup analysis based on smoking history was also conducted.
A genome-wide association analysis of the rapid decline in FEV1 identified 15 association signals ( < 5.0 × 10). Among the 15 nucleotide variants, rs9833533 and rs1496255 have been previously reported to be associated with lung function development. In the subgroup analysis, rs16951883 (adjusted odds ratio [aOR], 3.24; = 5.87 × 10) was the most significant SNP associated with rapid decline in FEV1 among never smokers, followed by rs41476549, rs16840064, and rs1350110. Conversely, among ever smokers, rs10959478 (aOR, 4.74; = 8.27 × 10) showed the highest significance, followed by rs6805861, rs9833533, and rs16906215.
We identified 15 nucleotide variants linked to a rapid decline in FEV1, including two SNPs previously reported to be associated with lung function development. Additional SNPs, which were associated with COPD, may be found using novel phenotypes.
第一秒用力呼气量(FEV1)的快速下降被认为是慢性阻塞性肺疾病(COPD)发展的重要表型。然而,特定遗传变异(单核苷酸多态性;SNP)与该表型之间的关联仍不确定。
我们从韩国基因组与流行病学研究(KoGES)中招募了 6516 名个体。FEV1 的快速下降定义为 FEV1 的年下降≥60ml/年。多变量逻辑回归模型用于评估 SNP 变体与 FEV1 快速下降之间的关联。考虑到吸烟对肺功能的显著影响,还进行了基于吸烟史的亚组分析。
对 FEV1 快速下降的全基因组关联分析确定了 15 个关联信号(<5.0×10)。在 15 个核苷酸变异中,rs9833533 和 rs1496255 先前已被报道与肺功能发育有关。在亚组分析中,rs16951883(调整后的优势比[aOR],3.24;=5.87×10)是从不吸烟者中与 FEV1 快速下降最显著的 SNP,其次是 rs41476549、rs16840064 和 rs1350110。相反,在现吸烟者中,rs10959478(aOR,4.74;=8.27×10)显示出最高的显著性,其次是 rs6805861、rs9833533 和 rs16906215。
我们确定了 15 个与 FEV1 快速下降相关的核苷酸变异,包括两个先前报道与肺功能发育相关的 SNP。使用新的表型可能会发现与 COPD 相关的其他 SNP。