Key Laboratory of Environmental Medicine Engineering, Department of Epidemiology & Biostatistics, School of Public Health, Southeast University, Ministry of Education, Nanjing 210009, China.
Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing 210009, China.
Nutrients. 2021 Dec 31;14(1):181. doi: 10.3390/nu14010181.
We performed univariable and multivariable Mendelian randomization (MR) analysis to evaluate the association between blood lipids and risk of atrial fibrillation (AF), including low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), Apolipoprotein A1, and Apolipoprotein B.
Data on the single nucleotide polymorphisms (SNPs) related to blood lipids were obtained from the UK Biobank study with more than 300,000 subjects of White British European ancestry, and data for AF were from the latest meta-analysis of Genome-wide association study (GWASs) with six independent cohorts with more than 1,000,000 subjects of European ancestry. The univariable MR analysis was conducted to explore whether genetic evidence of individual lipid-related traits was significantly associated with AF risks and multivariable MR analysis with three models was performed to assess the independent effects of lipid-related traits.
The IVW estimate showed that genetically predicted LDL-C (OR: 1.016, 95% CI: 0.962-1.073, = 0.560), HDL-C (OR: 0.951, 95% CI: 0.895-1.010, = 0.102), TG (OR: 0.961, 95% CI: 0.889-1.038, = 0.313), Apolipoprotein A1 (OR: 0.978, 95% CI: 0.933-1.025, = 0.356), and Apolipoprotein B (OR: 1.008, 95% CI: 0.959-1.070, = 0.794) were not causally associated with the risk of AF. Sample mode (OR: 0.852, 95% CI: 0.731-0.993, = 0.043) and weighted mode (OR: 0.907, 95% CI: 0.841-0.979, = 0.013) showed that a 1-unit increase in TG (mmol/L) was causally associated with a 14.8% and 9.3% relative decrease in AF risk, respectively. The multivariable MR analysis with model 1, 2, and 3 indicated that TG, LDL-C, HDL-C, Apolipoprotein A1, and Apolipoprotein B were not associated with the lower risk for AF.
Our multivariable Mendelian randomization analysis (MVMR) finding suggested no genetic evidence of lipid traits was significantly associated with AF risk. Furthermore, more work is warranted to confirm the potential association between lipid traits and AF risks.
我们进行了单变量和多变量孟德尔随机化（MR）分析，以评估血脂与心房颤动（AF）风险之间的关联，包括低密度脂蛋白胆固醇（LDL-C）、高密度脂蛋白胆固醇（HDL-C）、甘油三酯（TG）、载脂蛋白 A1 和载脂蛋白 B。
从 UK Biobank 研究中获得了与血脂相关的单核苷酸多态性（SNP）的数据，该研究纳入了超过 300,000 名白种英国欧洲血统的受试者，AF 数据来自最新的全基因组关联研究（GWAS）荟萃分析，纳入了六个独立的队列，其中包括超过 1000000 名欧洲血统的受试者。单变量 MR 分析用于探索个体血脂相关特征的遗传证据是否与 AF 风险显著相关，多变量 MR 分析采用三种模型评估血脂相关特征的独立影响。
IVW 估计显示，遗传预测的 LDL-C（OR：1.016，95%CI：0.962-1.073， = 0.560）、HDL-C（OR：0.951，95%CI：0.895-1.010， = 0.102）、TG（OR：0.961，95%CI：0.889-1.038， = 0.313）、载脂蛋白 A1（OR：0.978，95%CI：0.933-1.025， = 0.356）和载脂蛋白 B（OR：1.008，95%CI：0.959-1.070， = 0.794）与 AF 风险无因果关系。样本模式（OR：0.852，95%CI：0.731-0.993， = 0.043）和加权模式（OR：0.907，95%CI：0.841-0.979， = 0.013）表明，TG（mmol/L）每增加 1 单位，AF 风险相对降低 14.8%和 9.3%。多变量 MR 分析采用模型 1、2 和 3 表明，TG、LDL-C、HDL-C、载脂蛋白 A1 和载脂蛋白 B 与 AF 风险降低无关。
我们的多变量孟德尔随机化分析（MVMR）结果表明，血脂特征的遗传证据与 AF 风险无显著关联。此外，还需要进一步的研究来证实血脂特征与 AF 风险之间的潜在关联。
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