UMass Chan Medical School Faculty Publications
Title
A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes
UMMS Affiliation
Graduate School of Biomedical Sciences, Clinical and Population Health Research Program
Publication Date
2014-3
Document Type
Article
Subjects
Case-Control Studies; *Genome-Wide Association Study; Humans; Neoplasms
Disciplines
Cancer Biology | Genomics | Molecular Genetics | Neoplasms
Abstract
Candidate gene and genome-wide association studies (GWAS) represent two complementary approaches to uncovering genetic contributions to common diseases. We systematically reviewed the contributions of these approaches to our knowledge of genetic associations with cancer risk by analyzing the data in the Cancer Genome-wide Association and Meta Analyses database (Cancer GAMAdb). The database catalogs studies published since January 1, 2000, by study and cancer type. In all, we found that meta-analyses and pooled analyses of candidate genes reported 349 statistically significant associations and GWAS reported 269, for a total of 577 unique associations. Only 41 (7.1%) associations were reported in both candidate gene meta-analyses and GWAS, usually with similar effect sizes. When considering only noteworthy associations (defined as those with false-positive report probabilities
DOI of Published Version
10.1038/ejhg.2013.161
Source
Eur J Hum Genet. 2014 Mar;22(3):402-8. doi: 10.1038/ejhg.2013.161. Link to article on publisher's site
Related Resources
Journal/Book/Conference Title
European journal of human genetics : EJHG
PubMed ID
23881057
Repository Citation
Chang CQ, Yesupriya A, Rowell JL, Pimentel CB, Clyne M, Gwinn M, Khoury MJ, Wulf A, Schully SD. (2014). A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes. UMass Chan Medical School Faculty Publications. https://doi.org/10.1038/ejhg.2013.161. Retrieved from https://escholarship.umassmed.edu/faculty_pubs/450