Meta-analysis of genetic association studies

Young Ho Lee

Research output: Contribution to journalArticlepeer-review

121 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)283-287
Number of pages5
JournalAnnals of laboratory medicine
Issue number3
Publication statusPublished - 2015 May 1
Externally publishedYes

Bibliographical note

Funding Information:
M.M. holds a Cancer Research UK research fellowship. J.F. is supported by the Wellcome Trust.

Publisher Copyright:
© The Korean Society for Laboratory Medicine.


  • Association study
  • Gene
  • Meta-analysis
  • Polymorphism

ASJC Scopus subject areas

  • Biochemistry, medical
  • Clinical Biochemistry


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