Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA, USA.
Stanford Cardiovascular Institute, Stanford University, 300 Pasteur Dr, Stanford, CA, USA.
Eur Heart J. 2019 Apr 21;40(16):1277-1282. doi: 10.1093/eurheartj/ehz003.
Increases in fat-free mass and fat mass have been associated with higher risk of atrial fibrillation (AF) in observational studies. It is not known whether these associations reflect independent causal processes. Our aim was to evaluate independent causal roles of fat-free mass and fat mass on AF.
We conducted a large observational study to estimate the associations between fat-free mass and fat mass on incident AF in the UK Biobank (N = 487 404, N events = 10 365). Genome-wide association analysis was performed to obtain genetic instruments for Mendelian randomization (MR). We evaluated the causal effects of fat-free mass and fat mass on AF with two-sample method by using genetic associations from AFGen consortium as outcome. Finally, we evaluated independent causal effects of fat-free mass and fat mass with multivariate MR. Both fat-free mass and fat mass had observational associations with incident AF [hazard ratio (HR) = 1.77, 95% confidence interval (CI) 1.72-1.83; HR = 1.40, 95% CI 1.37-1.43 per standard deviation increase in fat-free and fat mass, respectively]. The causal effects using the inverse-variance weighted method were 1.55 (95% CI 1.38-1.75) for fat-free mass and 1.30 (95% CI 1.17-1.45) for fat mass. Weighted median, Egger regression, and penalized methods showed similar estimates. The multivariate MR analysis suggested that the causal effects of fat-free and fat mass were independent of each other (causal risk ratios: 1.37, 95% CI 1.06-1.75; 1.28, 95% CI 1.03-1.58).
Genetically programmed increases in fat-free mass and fat mass independently cause an increased risk of AF.
在观察性研究中,去脂体重和脂肪量的增加与心房颤动(AF)风险的增加相关。尚不清楚这些关联是否反映了独立的因果过程。我们的目的是评估去脂体重和脂肪量对 AF 的独立因果作用。
我们进行了一项大型观察性研究,以评估英国生物库中(N=487404,事件数=10365)去脂体重和脂肪量与新发 AF 之间的关联。进行全基因组关联分析以获得孟德尔随机化(MR)的遗传工具。我们使用 AFGen 联盟的结果作为结局,通过两样本法评估去脂体重和脂肪量对 AF 的因果效应。最后,我们使用多元 MR 评估去脂体重和脂肪量的独立因果效应。去脂体重和脂肪量均与新发 AF 具有观察性关联[风险比(HR)=1.77,95%置信区间(CI)1.72-1.83;HR=1.40,95%CI 1.37-1.43,每标准偏差增加去脂体重和脂肪量]。使用逆方差加权法的因果效应分别为 1.55(95%CI 1.38-1.75)和 1.30(95%CI 1.17-1.45)。加权中位数、Egger 回归和惩罚方法显示出相似的估计值。多元 MR 分析表明,去脂体重和脂肪量的因果效应彼此独立(因果风险比:1.37,95%CI 1.06-1.75;1.28,95%CI 1.03-1.58)。
遗传编程引起的去脂体重和脂肪量的增加独立导致 AF 风险增加。