Division of Cardiovascular Medicine, Department of Medicine Vanderbilt University Medical Center Nashville TN USA.
Department of Biomedical Informatics Vanderbilt University Medical Center Nashville TN USA.
J Am Heart Assoc. 2023 Aug;12(15):e029190. doi: 10.1161/JAHA.122.029190. Epub 2023 Jul 31.
Background Epidemiologic studies have identified risk factors associated with pulmonary hypertension and right heart failure, but causative drivers of pulmonary hypertension and right heart adaptation are not well known. We sought to leverage unbiased genetic approaches to determine clinical conditions that share genetic architecture with pulmonary pressure and right ventricular dysfunction. Methods and Results We leveraged Vanderbilt University's deidentified electronic health records and DNA biobank to identify 14 861 subjects of European ancestry who underwent at least 1 echocardiogram with available estimates of pulmonary pressure and right ventricular function. Analyses of the study were performed between 2020 and 2022. The final analytical sample included 14 861 participants (mean [SD] age, 63 [15] years and mean [SD] body mass index, 29 [7] kg/m). An unbiased phenome-wide association study identified diabetes as the most statistically significant clinical , () code associated with polygenic risk for increased pulmonary pressure. We validated this finding further by finding significant associations between genetic risk for diabetes and a related condition, obesity, with pulmonary pressure estimate. We then used 2-sample univariable Mendelian randomization and multivariable Mendelian randomization to show that diabetes, but not obesity, was independently associated with genetic risk for increased pulmonary pressure and decreased right ventricle load stress. Conclusions Our findings show that genetic risk for diabetes is the only significant independent causative driver of genetic risk for increased pulmonary pressure and decreased right ventricle load stress. These findings suggest that therapies targeting genetic risk for diabetes may also potentially be beneficial in treating pulmonary hypertension and right heart dysfunction.
流行病学研究已经确定了与肺动脉高压和右心衰竭相关的风险因素,但肺动脉高压和右心适应的因果驱动因素尚不清楚。我们试图利用无偏遗传方法来确定与肺压和右心室功能障碍具有遗传结构的临床病症。
我们利用范德比尔特大学的匿名电子健康记录和 DNA 生物库,确定了 14861 名具有欧洲血统的受试者,他们至少进行了 1 次超声心动图检查,并且可获得肺压和右心室功能的估计值。研究分析于 2020 年至 2022 年进行。最终的分析样本包括 14861 名参与者(平均[标准差]年龄为 63[15]岁,平均[标准差]体重指数为 29[7]kg/m)。一项无偏的表型全基因组关联研究确定糖尿病是与增加肺压的多基因风险最具统计学意义的临床()相关病症。我们通过发现糖尿病遗传风险与相关病症肥胖症与肺压估计值之间存在显著关联,进一步验证了这一发现。然后,我们使用两样本单变量孟德尔随机化和多变量孟德尔随机化来表明,糖尿病而不是肥胖症,与增加肺压和降低右心室负荷压力的遗传风险独立相关。
我们的研究结果表明,糖尿病的遗传风险是增加肺压和降低右心室负荷压力的遗传风险的唯一重要独立因果驱动因素。这些发现表明,针对糖尿病遗传风险的治疗方法也可能对治疗肺动脉高压和右心功能障碍有益。