Heterogeneity in Meta-Analyses of Genome-Wide Association Investigations
PLoS ONEPublished 4 September 2007Open access
John P. A. Ioannidis, Nikolaos A. Patsopoulos, Εvangelos Εvangelou
Citations337
SJR quartileQ1
SJR score0.80
SNIP1.07
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TL;DR
Data is used from three GWA studies on type 2 diabetes and their replication efforts where meta-analyses of all data using fixed effects methods (not incorporating between-study heterogeneity) have already been published to highlight potential explanations for between- study heterogeneity.
Abstract
Between-study heterogeneity is useful to document in the synthesis of data from GWA investigations and can offer valuable insights for further clarification of gene-disease associations.
Keywords
Biochemistry, Genetics and Molecular Biology
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