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[现代全基因组研究对心肌梗死风险的重要性]

[Importance of modern genome-wide studies for the risk of myocardial infarction].

作者信息

Kessler T, Erdmann J, Schunkert H

机构信息

Klinik für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Lazarettstr. 36, 80636, München, Deutschland.

出版信息

Internist (Berl). 2014 Feb;55(2):141-7. doi: 10.1007/s00108-013-3304-x.

Abstract

The individual genetic susceptibility is a cornerstone in the pathogenesis of coronary artery disease (CAD). The search for the genetic background and the subsequently altered molecular mechanisms has been ineffective for several years. The increase in genome-wide association studies in recent years has changed the scenario and more than 40 variants have so far been identified to be highly significantly associated with CAD and the risk of myocardial infarction (MI). Whereas most of these findings affect frequent polymorphisms, exome-wide sequencing in families with a high prevalence of CAD revealed mutations with a high penetrance and as a consequence a high risk of suffering from MI. The findings allow a deeper insight into functional mechanisms involved in the pathogenesis of atherosclerosis. Furthermore, the data enables validation of the numerous epidemiologically identified risk markers with respect to the causal role in the development of CAD, making the genetic architecture of CAD much more transparent. Nevertheless, individual risk prediction has only made weak progress in the face of the new findings. Every individual without exception carries numerous risk alleles even when the number and effect strength shows individual differences. Thus, a varying degree of genetic susceptibility is shared by all of us. Current research is therefore focusing on the functional integration of genetic information to discover new approaches to prevention and therapy.

摘要

个体遗传易感性是冠状动脉疾病(CAD)发病机制的基石。多年来,探寻遗传背景及随后改变的分子机制一直没有成效。近年来全基因组关联研究的增加改变了这种局面,到目前为止,已确定40多个变异与CAD及心肌梗死(MI)风险高度显著相关。虽然这些发现大多影响常见的多态性,但在CAD高发家庭中进行的全外显子组测序发现了具有高外显率的突变,因此患MI的风险很高。这些发现有助于更深入地了解动脉粥样硬化发病机制中涉及的功能机制。此外,这些数据能够验证众多经流行病学确定的风险标志物在CAD发生中的因果作用,使CAD的遗传结构更加清晰。然而,面对这些新发现,个体风险预测进展甚微。无一例外,每个个体即使在风险等位基因的数量和效应强度存在个体差异的情况下,也携带众多风险等位基因。因此,我们所有人都有不同程度的遗传易感性。因此,当前的研究重点是遗传信息的功能整合,以发现预防和治疗的新方法。

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