Meta-Analysis of Genetic Association Studies.
10.3343/alm.2015.35.3.283
- Author:
Young Ho LEE
1
Author Information
1. Division of Rheumatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea. lyhcgh@korea.ac.kr
- Publication Type:Meta-Analysis ; Review
- Keywords:
Gene;
Polymorphism;
Association study;
Meta-analysis
- MeSH:
Arthritis, Rheumatoid/genetics/pathology;
Databases, Factual;
*Genetic Association Studies;
Genotype;
Humans;
Polymorphism, Single Nucleotide;
Receptors, Immunologic/genetics
- From:Annals of Laboratory Medicine
2015;35(3):283-287
- CountryRepublic of Korea
- Language:English
-
Abstract:
The object of this review is to help readers to understand meta-analysis of genetic association study. Genetic association studies are a powerful approach to identify susceptibility genes for common diseases. However, the results of these studies are not consistently reproducible. In order to overcome the limitations of individual studies, larger sample sizes or meta-analysis is required. Meta-analysis is a statistical tool for combining results of different studies on the same topic, thus increasing statistical strength and precision. Meta-analysis of genetic association studies combines the results from independent studies, explores the sources of heterogeneity, and identifies subgroups associated with the factor of interest. Meta-analysis of genetic association studies is an effective tool for garnering a greater understanding of complex diseases and potentially provides new insights into gene-disease associations.
