A genome-wide association study identifies alleles in FGFR2 associated with risk of sporadic postmenopausal breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2007-07

AUTHORS

David J Hunter, Peter Kraft, Kevin B Jacobs, David G Cox, Meredith Yeager, Susan E Hankinson, Sholom Wacholder, Zhaoming Wang, Robert Welch, Amy Hutchinson, Junwen Wang, Kai Yu, Nilanjan Chatterjee, Nick Orr, Walter C Willett, Graham A Colditz, Regina G Ziegler, Christine D Berg, Saundra S Buys, Catherine A McCarty, Heather Spencer Feigelson, Eugenia E Calle, Michael J Thun, Richard B Hayes, Margaret Tucker, Daniela S Gerhard, Joseph F Fraumeni, Robert N Hoover, Gilles Thomas, Stephen J Chanock

ABSTRACT

We conducted a genome-wide association study (GWAS) of breast cancer by genotyping 528,173 SNPs in 1,145 postmenopausal women of European ancestry with invasive breast cancer and 1,142 controls. We identified four SNPs in intron 2 of FGFR2 (which encodes a receptor tyrosine kinase and is amplified or overexpressed in some breast cancers) that were highly associated with breast cancer and confirmed this association in 1,776 affected individuals and 2,072 controls from three additional studies. Across the four studies, the association with all four SNPs was highly statistically significant (P(trend) for the most strongly associated SNP (rs1219648) = 1.1 x 10(-10); population attributable risk = 16%). Four SNPs at other loci most strongly associated with breast cancer in the initial GWAS were not associated in the replication studies. Our summary results from the GWAS are available online in a form that should speed the identification of additional risk loci. More... »

PAGES

870-874

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng2075

DOI

http://dx.doi.org/10.1038/ng2075

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049470927

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17529973


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curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/ng2075'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/ng2075'


 

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