Department of Thoracic Surgery, The Seventh Affiliated Hospital, Sun Yat-Sen University, 628 Zhenyuan Rd, Shenzhen, 518107, China.
Sleep Breath. 2024 May;28(2):665-671. doi: 10.1007/s11325-023-02940-y. Epub 2023 Oct 26.
Numerous individuals opt for napping to achieve adequate rest, and several studies have linked napping to various health conditions. Consequently, we aimed to investigate the potential effect of napping on the development of deep vein thrombosis (DVT).
We used the publicly available summary statistics data sets of genome-wide association studies (GWAS) meta-analyses for napping in individuals included in the UK Biobank as the exposure and a GWAS for DVT from the individuals included in the FinnGen Biobank as the outcome. The two-sample MR research approach was utilized to explore the causative link between napping and DVT. Single nucleotide polymorphisms (SNPs) data strongly related to napping were found and used as instrumental factors. Inverse variance weighting (IVW), weighted median and MR-Egger regression, and weighted mode approaches were four statistical techniques.
There were 86 SNPs in all that were discovered to be strongly related to napping (P < 5 × 10, linkage disequilibrium r < 0.1). Consistent association between napping and DVT (IVW: odds ratio (OR) 0.508, 95% confidence interval (CI) 0.280-0.921; MR-Egger regression: OR 0.988, 95% CI 0.118-8.303; weighted median estimates: OR 0.419, 95% CI 0.181-0.974; weighted mode: OR 0.442, 95% CI 0.080-2.427) suggested that napping correlated with decreased risk of DVT. There was no evidence that genetic pleiotropy affected the link between napping and DVT (MR-Egger intercept - 6.7 × 10; P = 0.525).
The results of the Mendelian randomization study suggested a potential causal relationship between napping and a reduced incidence of DVT.
许多人选择小睡来获得充足的休息,有几项研究将小睡与各种健康状况联系起来。因此,我们旨在研究小睡对深静脉血栓形成(DVT)发展的潜在影响。
我们使用 UK Biobank 中包含的个体进行的小睡全基因组关联研究(GWAS)荟萃分析的公开可用汇总统计数据集作为暴露因素,以及 FinnGen Biobank 中包含的个体进行的 DVT GWAS 作为结果。采用两样本 MR 研究方法探讨小睡与 DVT 之间的因果关系。发现并使用与小睡密切相关的单核苷酸多态性(SNP)数据作为工具因素。采用逆方差加权(IVW)、加权中位数和 MR-Egger 回归以及加权模式方法进行了四项统计学技术。
共发现 86 个 SNP 与小睡密切相关(P<5×10,连锁不平衡 r<0.1)。小睡与 DVT 之间存在一致的关联(IVW:比值比(OR)0.508,95%置信区间(CI)0.280-0.921;MR-Egger 回归:OR 0.988,95% CI 0.118-8.303;加权中位数估计:OR 0.419,95% CI 0.181-0.974;加权模式:OR 0.442,95% CI 0.080-2.427)表明小睡与 DVT 风险降低相关。没有证据表明遗传多效性影响小睡与 DVT 之间的联系(MR-Egger 截距-6.7×10;P=0.525)。
孟德尔随机化研究的结果表明,小睡与 DVT 发病率降低之间存在潜在的因果关系。