Center for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Sci Rep. 2023 Aug 30;13(1):14212. doi: 10.1038/s41598-023-41369-x.
Whereas lifestyle-related factors are recognized as snoring risk factors, the role of genetics in snoring remains uncertain. One way to measure the impact of genetic risk is through the use of a polygenic risk score (PRS). In this study, we aimed to investigate whether genetics plays a role in snoring after adjusting for lifestyle factors. Since the effect of polygenic risks may differ across ethnic groups, we calculated the PRS for snoring from the UK Biobank and applied it to a Korean cohort. We sought to evaluate the reproducibility of the UK Biobank PRS for snoring in the Korean cohort and to investigate the interaction of lifestyle factors and genetic risk on snoring in the Korean population. In this study, we utilized a Korean cohort obtained from the Korean Genome Epidemiology Study (KoGES). We computed the snoring PRS for the Korean cohort based on the UK Biobank PRS. We investigated the relationship between polygenic risks and snoring while controlling for lifestyle factors, including sex, age, body mass index (BMI), alcohol consumption, smoking, physical activity, and sleep time. Additionally, we analyzed the interaction of each lifestyle factor and the genetic odds of snoring. We included 3526 snorers and 1939 nonsnorers from the KoGES cohort and found that the PRS, a polygenic risk factor, was an independent factor for snoring after adjusting for lifestyle factors. In addition, among lifestyle factors, higher BMI, male sex, and older age were the strongest lifestyle factors for snoring. In addition, the highest adjusted odds ratio for snoring was higher BMI (OR 1.98, 95% CI 1.76-2.23), followed by male sex (OR 1.54, 95% CI 1.28-1.86), older age (OR 1.23, 95% CI 1.03-1.35), polygenic risks such as higher PRS (OR 1.18, 95% CI 1.08-1.29), drinking behavior (OR 1.18, 95% CI 1.03-1.35), late sleep mid-time (OR 1.17, 95% CI 1.02-1.33), smoking behavior (OR 0.99, 95% CI 0.82-1.19), and lower physical activity (OR 0.92, 95% CI 0.85-1.00). Our study identified that the UK Biobank PRS for snoring was reproducible in the Korean cohort and that genetic risk served as an independent risk factor for snoring in the Korean population. These findings may help to develop personalized approaches to reduce snoring in individuals with high genetic risk.
虽然与生活方式相关的因素被认为是打鼾的危险因素，但遗传在打鼾中的作用仍不确定。衡量遗传风险影响的一种方法是使用多基因风险评分（PRS）。在这项研究中，我们旨在调查在调整生活方式因素后，遗传是否在打鼾中起作用。由于多基因风险的影响可能因种族群体而异，因此我们从英国生物库计算了打鼾的 PRS，并将其应用于韩国队列。我们试图评估英国生物库打鼾 PRS 在韩国队列中的可重复性，并调查遗传风险与韩国人群打鼾之间的相互作用。在这项研究中，我们利用了从韩国基因组流行病学研究（KoGES）获得的韩国队列。我们根据英国生物库 PRS 计算了韩国队列的打鼾 PRS。我们调查了多基因风险与打鼾之间的关系，同时控制了包括性别、年龄、体重指数（BMI）、饮酒、吸烟、体力活动和睡眠时间在内的生活方式因素。此外，我们分析了每个生活方式因素与打鼾遗传几率的相互作用。我们纳入了 KoGES 队列中的 3526 名打鼾者和 1939 名非打鼾者，发现 PRS（一种多基因风险因素）是调整生活方式因素后打鼾的独立因素。此外，在生活方式因素中，较高的 BMI、男性和年龄较大是打鼾的最强生活方式因素。此外，打鼾的最高调整比值比更高 BMI（OR 1.98，95%CI 1.76-2.23），其次是男性（OR 1.54，95%CI 1.28-1.86），年龄较大（OR 1.23，95%CI 1.03-1.35），较高的 PRS（OR 1.18，95%CI 1.08-1.29）等多基因风险，饮酒行为（OR 1.18，95%CI 1.03-1.35），晚睡中间时间（OR 1.17，95%CI 1.02-1.33），吸烟行为（OR 0.99，95%CI 0.82-1.19）和较低的体力活动（OR 0.92，95%CI 0.85-1.00）。我们的研究表明，英国生物库打鼾 PRS 在韩国队列中具有可重复性，遗传风险是韩国人群打鼾的独立危险因素。这些发现可能有助于制定针对具有高遗传风险的个体减少打鼾的个性化方法。
