Research article
Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort
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* Corresponding author: Elizabeth M Azzato ema32@cam.ac.uk
1 Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
2 Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Executive Plaza South, Rm 7002, 6120 Executive Blvd, Rockville, MD, 20852, USA
3 Eastern Cancer Registration and Information Centre, Unit C-Magog Court, Shelford Bottom, Cambridge, CB22 3AD, UK
4 Cancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK
5 Cancer Research UK, Cambridge Research Institute, and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
Breast Cancer Research 2008, 10:R47 doi:10.1186/bcr2100
Published: 28 May 2008Additional files
Additional File 1:
This file contains Supplementary tables 1 and 2, which show the results of the univariate all cause mortality Cox regression analyses for single marker tagSNPs and multimarker tagSNPs.
Format: DOC Size: 289KB Download file
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Additional File 2:
This file contains Supplementary tables 3 and 4, which show the results of the univariate breast cancer specific mortality Cox regression analyses for single marker tagSNPs and multimarker tagSNPs.
Format: DOC Size: 290KB Download file
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Additional File 3:
This file contains Supplementary tables 5 and 6, which show additional information regarding the microarray datasets used in the somatic expression analyses. Supplementary table 5 shows additional microarray study and patient characteristics. Supplementary table 6 shows hazard ratios associated with microarray expression of genes in linkage disequilibrium with CCND3 rs2479717.
Format: DOC Size: 57KB Download file
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