Effects of common germline genetic variation in cell cycle control genes on breast cancer survival: results from a population-based cohort

Elizabeth M Azzato¹^,2 , Kristy E Driver¹ , Fabienne Lesueur¹ , Mitul Shah¹ , David Greenberg³ , Douglas F Easton⁴ , Andrew E Teschendorff⁵ , Carlos Caldas⁵ , Neil E Caporaso² and Paul DP Pharoah¹

¹Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK

²Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Executive Plaza South, Rm 7002, 6120 Executive Blvd, Rockville, MD, 20852, USA

³Eastern Cancer Registration and Information Centre, Unit C-Magog Court, Shelford Bottom, Cambridge, CB22 3AD, UK

⁴Cancer Research UK Genetic Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK

⁵Cancer Research UK, Cambridge Research Institute, and Department of Oncology, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK

author email corresponding author email

Breast Cancer Research 2008, 10:R47doi:10.1186/bcr2100


Published:	28 May 2008

Additional 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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