A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes
AuthorsChang, Christine Q.
Rowell, Jessica L.
Pimentel, Camilla B.
Khoury, Muin J.
Schully, Sheri D.
UMass Chan AffiliationsGraduate School of Biomedical Sciences, Clinical and Population Health Research Program
Document TypeJournal Article
*Genome-Wide Association Study
MetadataShow full item record
AbstractCandidate 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
SourceEur J Hum Genet. 2014 Mar;22(3):402-8. doi: 10.1038/ejhg.2013.161. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/30204
Related ResourcesLink to Article in PubMed