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

Link to Article in PubMed

Journal/Book/Conference Title

European journal of human genetics : EJHG

PubMed ID

23881057

Link to Full Text

Share

COinS