Choice of genetic model on Meta-analysis of genetic association studies: introduction of genetic model-free approach for Bayesian analysis
10.3760/cma.j.issn.0254-6450.2017.12.024
- VernacularTitle: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
- Author:
Hong WENG
1
;
Enxuan LIN
;
Tiejun TONG
;
Xiang WAN
;
Peiliang GENG
;
Xiantao ZENG
Author Information
1. 430071,武汉大学中南医院循证与转化医学中心武汉大学循证与转化医学中心武汉大学第二临床学院循证医学与临床流行病学教研室
- Keywords:
Genetic association study;
Single nucleotide polymorphism;
Meta-analysis;
Genetic model
- From:Chinese Journal of Epidemiology
2017;38(12):1703-1707
- CountryChina
- Language:Chinese
-
Abstract:
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.
