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Fine mapping of 14q24.1 breast cancer susceptibility locus
Authors:Phoebe Lee  Yi-Ping Fu  Jonine D. Figueroa  Ludmila Prokunina-Olsson  Jesus Gonzalez-Bosquet  Peter Kraft  Zhaoming Wang  Kevin B. Jacobs  Meredith Yeager  Marie-Josèphe Horner  Susan E. Hankinson  Amy Hutchinson  Nilanjan Chatterjee  Montserrat Garcia-Closas  Regina G. Ziegler  Christine D. Berg  Saundra S. Buys  Catherine A. McCarty  Heather Spencer Feigelson  Michael J. Thun  Ryan Diver  Ross Prentice  Rebecca Jackson  Charles Kooperberg  Rowan Chlebowski  Jolanta Lissowska  Beata Peplonska  Louise A. Brinton  Margaret Tucker  Joseph F. Fraumeni Jr.  Robert N. Hoover  Gilles Thomas  David J. Hunter  Stephen J. Chanock
Affiliation:Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Abstract:
In the National Cancer Institute Cancer Genetic Markers of Susceptibility (CGEMS) genome-wide association study of breast cancer, a single nucleotide polymorphism (SNP) marker, rs999737, in the 14q24.1 interval, was associated with breast cancer risk. In order to fine map this region, we imputed a 3.93?MB region flanking rs999737 for Stages 1 and 2 of the CGEMS study (5,692 cases, 5,576 controls) using the combined reference panels of the HapMap 3 and the 1000 Genomes Project. Single-marker association testing and variable-sized sliding-window haplotype analysis were performed, and for both analyses the initial tagging SNP rs999737 retained the strongest association with breast cancer risk. Investigation of contiguous regions did not reveal evidence for an additional independent signal. Therefore, we conclude that rs999737 is an optimal tag SNP for common variants in the 14q24.1 region and thus narrow the candidate variants that should be investigated in follow-up laboratory evaluation.
Keywords:
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