The Use Of Genetic Correlation And Mendelian Randomization Studies To Increase Our Understanding of Relationships Between Complex Traits.
The Use Of Genetic Correlation And Mendelian Randomization Studies To Increase Our Understanding of Relationships Between Complex Traits.
复制标题
遗传相关性和孟德尔随机研究的使用来增加我们对复杂性状之间关系的理解。
DOI：
10.1007/s40471-020-00233-6
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发表时间：
2020-06
影响因子：
3.3
通讯作者：
Lindström S
中科院分区：
文献类型：
--
作者：
Kraft P;Chen H;Lindström S
在基于人群的研究中，越来越多地获得大规模的遗传数据集，这使得遗传关联研究成为一种手段，可以检查复杂性状之间先前已知的和新的关系。在这篇综述中，我们讨论了两种广泛使用的方法来利用遗传数据来研究性状之间的联系：全基因组遗传相关和孟德尔随机化（MR）研究。遗传相关性和MR研究都提供了重要的新见解。然而，尽管他们对传统的观察性流行病学中存在的许多偏倚来源不太敏感，但他们仍然依赖于在实践中可能难以评估的假设。为了克服这一点，开发对这些假设不太敏感的新方法是一个活跃的研究领域。我们相信，随着基于人群的遗传数据集越来越大，新的方法允许较弱形式的当前假设变得可用，遗传相关性和MR研究将成为遗传流行病学研究的一个组成部分。
Increasing access to large-scale genetic datasets in population-based studies allows for genetic association studies as a means to examine previously known and novel relationships among complex traits. In this review, we discuss two widely used approaches to leverage genetic data to study the links between traits: Genome-wide genetic correlation and Mendelian Randomization (MR) studies. Both genetic correlation and MR studies have provided important novel insights. However, although they are less sensitive to many sources of bias present in traditional, observational epidemiology, they still rely on assumptions that in practice might be difficult to assess. To overcome this, development of novel methods less sensitive to these assumptions is an active area of research. We believe that as population-based genetic datasets grow larger and novel methods allowing for weaker forms of current assumptions become available, genetic correlation and MR studies will become an integral part of genetic epidemiology studies.
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影响因子：
7.7
作者：
Burgess S
通讯作者：
Burgess S
影响因子：
5
作者：
Fry A;Littlejohns TJ;Sudlow C;Doherty N;Adamska L;Sprosen T;Collins R;Allen NE
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Allen NE
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Neale, Benjamin M.
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