遗传关联性研究Meta分析之遗传模型的选择: 贝叶斯无基因模型法

Translated title of the contribution: Choice of genetic model on Meta-analysis of genetic association studies: Introduction of genetic model-free approach for Bayesian analysis

翁鸿, 林恩萱, 童铁军, 万翔, 耿培亮, 曾宪涛*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

近年来,遗传关联性研究的Meta分析受到越来越多的学者关注。设计遗传关联性研究的Meta分析时,传统做法是将各基因模型的结果全部计算出来,这样不仅增加了假阳性结果的概率,也使得Meta分析的结果难以进一步分析。因此,在设计遗传关联性研究的Meta分析时,一个重要的步骤是如何选择恰当的基因遗传模型。本文旨在介绍贝叶斯无基因模型法的原理,以期帮助读者在设计遗传关联性研究的Meta分析时应用此方法。

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.

Translated title of the contributionChoice of genetic model on Meta-analysis of genetic association studies: Introduction of genetic model-free approach for Bayesian analysis
Original languageChinese (Simplified)
Pages (from-to)1703-1707
Number of pages5
Journal中华流行病学杂志
Volume38
Issue number12
DOIs
Publication statusPublished - Dec 2017

Scopus Subject Areas

  • Public Health, Environmental and Occupational Health
  • Microbiology (medical)

User-Defined Keywords

  • Genetic association study
  • Genetic model
  • Meta-analysis
  • Single nucleotide polymorphism

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