Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Identification of Novel Genetic Markers of Breast Cancer Survival

Tools
- Tools
+ Tools

Guo, Q., Schmidt, M. K., Kraft, P., Canisius, S., Chen, C., Khan, S., Tyrer, J., Bolla, M. K., Wang, Q., Dennis, J. et al.
(2015) Identification of Novel Genetic Markers of Breast Cancer Survival. JNCI Journal of the National Cancer Institute, 107 (5). djv081. doi:10.1093/jnci/djv081

Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1093/jnci/djv081

Request Changes to record.

Abstract

Background:
Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer–specific survival.
Methods:
We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)–negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided.
Results:
We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10 –8 ). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust.
Conclusions:
This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors.

Item Type: Journal Article
Divisions: Faculty of Medicine > Warwick Medical School
Journal or Publication Title: JNCI Journal of the National Cancer Institute
Publisher: Oxford University Press
ISSN: 0027-8874
Official Date: 18 April 2015
Dates:
DateEvent
18 April 2015Published
Volume: 107
Number: 5
Article Number: djv081
DOI: 10.1093/jnci/djv081
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us