[遗传关联研究Meta分析中遗传模型的选择：贝叶斯分析的无遗传模型方法介绍]
[Choice of genetic model on Meta-analysis of genetic association studies: introduction of genetic model-free approach for Bayesian analysis].
作者信息
Weng H, Lin E X, Tong T J, Wan X, Geng P L, Zeng X T
机构信息
Center for Evidence-Based and Translational Medicine, Zhongnan Hosptial of Wuhan University, Center for Evidence-Based and Translational Medicine of Wuhan University, Department of Evidence-Based Medicine and Clinical Epidemiology, The Second Clinical College, Wuhan University, Wuhan 430071, China.
Statistics Research and Consultancy Centre, Department of Mathematics, Hong Kong Baptist University, Hong Kong.
出版信息
Zhonghua Liu Xing Bing Xue Za Zhi. 2017 Dec 10;38(12):1703-1707. doi: 10.3760/cma.j.issn.0254-6450.2017.12.024.
Meta-analysis used for genetic association studies became popular among researchers, with the amount of published papers increased rapidly. In this paper, we will focus on the introduction on the selection of genetic models. Traditionally, methods used for Meta-analysis on genetic association studies was to calculate the statistics based on available genetic models which not only increasing the probability of false-positives but also making the interpretation of results more difficult. Hence, a critical step in the Meta-analysis of genetic association studies was to choose the appropriate inheritance model. The aim of this paper was to introduce the theory of Bayesian analysis regarding the genetic model-free approach, in performing the Meta-analysis for studies related to genetic associations.
用于基因关联研究的荟萃分析在研究人员中变得很流行，发表的论文数量迅速增加。在本文中，我们将重点介绍基因模型的选择。传统上，用于基因关联研究荟萃分析的方法是基于可用的基因模型计算统计量，这不仅增加了假阳性的概率，还使结果的解释更加困难。因此，基因关联研究荟萃分析中的一个关键步骤是选择合适的遗传模型。本文的目的是介绍在进行与基因关联相关研究的荟萃分析时，关于无基因模型方法的贝叶斯分析理论。
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