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Performance of Common Genetic Variants in Breast-Cancer Risk Models
Author(s) -
Sholom Wacholder,
Patricia Hartge,
Ross L. Prentice,
Montserrat GarcíaClosas,
Heather Spencer Feigelson,
W. Ryan Diver,
Michael J. Thun,
David G. Cox,
Susan E. Hankinson,
Peter Kraft,
Bernard Rosner,
Christine D. Berg,
Louise A. Brinton,
Jolanta Lissowska,
Mark E. Sherman,
Rowan T. Chlebowski,
Charles Kooperberg,
Rebecca D. Jackson,
Dennis W. Buckman,
Peter Hui,
Ruth M. Pfeiffer,
Kevin B. Jacobs,
Gilles D. Thomas,
Robert N. Hoover,
Mitchell H. Gail,
Stephen J. Chanock,
David J. Hunter
Publication year - 2010
Publication title -
new england journal of medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 19.889
H-Index - 1030
eISSN - 1533-4406
pISSN - 0028-4793
DOI - 10.1056/nejmoa0907727
Subject(s) - medicine , breast cancer , genetic variants , cancer , medline , bioinformatics , oncology , genetics , computational biology , genotype , gene , biology , biochemistry
Genomewide association studies have identified multiple genetic variants associated with breast cancer. The extent to which these variants add to existing risk-assessment models is unknown.

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