meta-analysis for genome-wide association studies using case-control design: application and practice

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ID: 205104
2016
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Abstract
This review aimed to arrange the process of a systematic review of genome-wide association studies in order to practice and apply a genome-wide meta-analysis (GWMA). The process has a series of five steps: searching and selection, extraction of related information, evaluation of validity, meta-analysis by type of genetic model, and evaluation of heterogeneity. In contrast to intervention meta-analyses, GWMA has to evaluate the Hardy–Weinberg equilibrium (HWE) in the third step and conduct meta-analyses by five potential genetic models, including dominant, recessive, homozygote contrast, heterozygote contrast, and allelic contrast in the fourth step. The ‘genhwcci’ and ‘metan’ commands of STATA software evaluate the HWE and calculate a summary effect size, respectively. A meta-regression using the ‘metareg’ command of STATA should be conducted to evaluate related factors of heterogeneities.
Reference Key
shim2016epidemiologymeta-analysis Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sungryul Shim;Jiyoung Kim;Wonguen Jung;In-Soo Shin;Jong-Myon Bae
Journal fiabilitate şi durabilitate
Year 2016
DOI
10.4178/epih.e2016058
URL
http://www.e-epih.org/upload/pdf/epih-38-e2016058.pdf
Keywords
meta-analysis polymorphism genome-wide association study

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