| Literature DB >> 30169657 |
Foram N Ashar1, Rebecca N Mitchell1, Christine M Albert2, Christopher Newton-Cheh3, Jennifer A Brody4, Martina Müller-Nurasyid5,6,7,8, Anna Moes1, Thomas Meitinger8,9,10, Angel Mak11, Heikki Huikuri12, M Juhani Junttila12, Philippe Goyette13, Sara L Pulit14, Raha Pazoki15, Michael W Tanck16, Marieke T Blom17, XiaoQing Zhao18, Aki S Havulinna19, Reza Jabbari20, Charlotte Glinge20, Vinicius Tragante21, Stefan A Escher22, Aravinda Chakravarti1, Georg Ehret1, Josef Coresh23, Man Li23, Ronald J Prineas24, Oscar H Franco25,26, Pui-Yan Kwok11, Thomas Lumley27, Florence Dumas28, Barbara McKnight4,29, Jerome I Rotter30, Rozenn N Lemaitre4, Susan R Heckbert31, Christopher J O'Donnell32,33, Shih-Jen Hwang33, Jean-Claude Tardif13, Martin VanDenburgh2, André G Uitterlinden34, Albert Hofman26, Bruno H C Stricker26, Paul I W de Bakker35,36, Paul W Franks22, Jan-Hakan Jansson37, Folkert W Asselbergs21,38,39, Marc K Halushka40, Joseph J Maleszewski41, Jacob Tfelt-Hansen20,42, Thomas Engstrøm20,43, Veikko Salomaa19, Renu Virmani18, Frank Kolodgie18, Arthur A M Wilde44, Hanno L Tan44, Connie R Bezzina44, Mark Eijgelsheim45, John D Rioux13, Xavier Jouven28, Stefan Kääb7,8, Bruce M Psaty46, David S Siscovick47, Dan E Arking1, Nona Sotoodehnia48.
Abstract
Aims: 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. Methods and results: 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. Conclusions: 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.Entities:
Mesh:
Year: 2018 PMID: 30169657 PMCID: PMC6247663 DOI: 10.1093/eurheartj/ehy474
Source DB: PubMed Journal: Eur Heart J ISSN: 0195-668X Impact factor: 35.855