2018 George Lyman Duff Memorial Lecture: Genetics and Genomics of Coronary Artery Disease: A Decade of Progress.

Q4 Social Sciences Communication Booknotes Quarterly Pub Date : 2019-10-01 Epub Date: 2019-08-29 DOI:10.1161/ATVBAHA.119.311392
Ruth McPherson
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Abstract

Recent studies have led to a broader understanding of the genetic architecture of coronary artery disease and demonstrate that it largely derives from the cumulative effect of multiple common risk alleles individually of small effect size rather than rare variants with large effects on coronary artery disease risk. The tools applied include genome-wide association studies encompassing over 200 000 individuals complemented by bioinformatic approaches including imputation from whole-genome data sets, expression quantitative trait loci analyses, and interrogation of ENCODE (Encyclopedia of DNA Elements), Roadmap Epigenetic Project, and other data sets. Over 160 genome-wide significant loci associated with coronary artery disease risk have been identified using the genome-wide association studies approach, 90% of which are situated in intergenic regions. Here, I will describe, in part, our research over the last decade performed in collaboration with a series of bright trainees and an extensive number of groups and individuals around the world as it applies to our understanding of the genetic basis of this complex disease. These studies include computational approaches to better understand missing heritability and identify causal pathways, experimental approaches, and progress in understanding at the molecular level the function of the multiple risk loci identified and potential applications of these genomic data in clinical medicine and drug discovery.

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2018 乔治-莱曼-达夫纪念讲座:冠状动脉疾病的遗传学和基因组学:十年进展。
最近的研究使人们对冠心病的遗传结构有了更广泛的了解,并证明冠心病在很大程度上是由多个单独影响较小的常见风险等位基因的累积效应引起的,而不是由对冠心病风险影响较大的罕见变异引起的。应用的工具包括涵盖 20 多万人的全基因组关联研究,并辅以生物信息学方法,包括全基因组数据集的估算、表达定量性状位点分析,以及对 ENCODE(DNA 元素百科全书)、Roadmap 表观遗传项目和其他数据集的询问。利用全基因组关联研究方法,已经确定了160多个与冠心病风险相关的全基因组重要位点,其中90%位于基因间区。在这里,我将部分介绍我们在过去十年中与一系列优秀学员以及世界各地众多团体和个人合作开展的研究,这些研究有助于我们了解这种复杂疾病的遗传基础。这些研究包括用计算方法更好地理解缺失遗传性和确定因果途径、实验方法、在分子水平上理解已确定的多个风险基因座的功能方面取得的进展,以及这些基因组数据在临床医学和药物发现方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Communication Booknotes Quarterly
Communication Booknotes Quarterly Social Sciences-Communication
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Author Index for Volume 52: 2021 Looking Back (and Forward): Some COVID-19 Pandemic After-Effects on Books and Publishing Changing Horizons for CBQ Title Index for Volume 52: 2021 CBQ BOOKNOTES Condensed Reviews
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