McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins, 733 N Broadway, Baltimore, MD, USA.
Divisions of Preventive Medicine and Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, 900 Commonwealth Ave East, 3rd Floor, Boston, MA, USA.
Eur Heart J. 2018 Nov 21;39(44):3961-3969. doi: 10.1093/eurheartj/ehy474.
Sudden cardiac arrest (SCA) accounts for 10% of adult mortality in Western populations. We aim to identify potential loci associated with SCA and to identify risk factors causally associated with SCA.
We carried out a large genome-wide association study (GWAS) for SCA (n = 3939 cases, 25 989 non-cases) to examine common variation genome-wide and in candidate arrhythmia genes. We also exploited Mendelian randomization (MR) methods using cross-trait multi-variant genetic risk score associations (GRSA) to assess causal relationships of 18 risk factors with SCA. No variants were associated with SCA at genome-wide significance, nor were common variants in candidate arrhythmia genes associated with SCA at nominal significance. Using cross-trait GRSA, we established genetic correlation between SCA and (i) coronary artery disease (CAD) and traditional CAD risk factors (blood pressure, lipids, and diabetes), (ii) height and BMI, and (iii) electrical instability traits (QT and atrial fibrillation), suggesting aetiologic roles for these traits in SCA risk.
Our findings show that a comprehensive approach to the genetic architecture of SCA can shed light on the determinants of a complex life-threatening condition with multiple influencing factors in the general population. The results of this genetic analysis, both positive and negative findings, have implications for evaluating the genetic architecture of patients with a family history of SCA, and for efforts to prevent SCA in high-risk populations and the general community.
在西方人群中,心搏骤停(SCA)占成人死亡率的 10%。我们旨在确定与 SCA 相关的潜在基因座,并确定与 SCA 因果相关的风险因素。
我们进行了一项针对 SCA 的大型全基因组关联研究(GWAS)(n=3939 例病例,25989 例非病例),以全面研究全基因组和候选心律失常基因中的常见变异。我们还利用孟德尔随机化(MR)方法,使用跨性状多变量遗传风险评分关联(GRSA)来评估 18 个风险因素与 SCA 的因果关系。没有变异在全基因组范围内与 SCA 显著相关,候选心律失常基因中的常见变异也没有与 SCA 在名义上显著相关。使用跨性状 GRSA,我们建立了 SCA 与(i)冠状动脉疾病(CAD)和传统 CAD 风险因素(血压、血脂和糖尿病)、(ii)身高和 BMI 以及(iii)电不稳定性特征(QT 和心房颤动)之间的遗传相关性,表明这些特征在心搏骤停风险中的病因作用。
我们的研究结果表明,对 SCA 遗传结构的综合方法可以揭示具有多种影响因素的复杂危及生命的疾病的决定因素在普通人群中。该遗传分析的结果,无论是阳性还是阴性发现,都对评估有 SCA 家族史患者的遗传结构以及在高危人群和普通人群中预防 SCA 的努力具有重要意义。