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The intronic G13964C variant in p53 is not a high-risk mutation in familial breast cancer in Australia

Overview of attention for article published in Breast Cancer Research, July 2001
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Title
The intronic G13964C variant in p53 is not a high-risk mutation in familial breast cancer in Australia
Published in
Breast Cancer Research, July 2001
DOI 10.1186/bcr319
Pubmed ID
Authors

Anna Marsh, Amanda B Spurdle, Bruce C Turner, Sian Fereday, Heather Thorne, Gulietta M Pupo, Graham J Mann, John L Hopper, Joseph F Sambrook, Georgia Chenevix-Trench

Abstract

Mutations in BRCA1 and BRCA2 account for approximately 50% of breast cancer families with more than four affected cases, whereas exonic mutations in p53, PTEN, CHK2 and ATM may account for a very small proportion. It was recently reported that an intronic variant of p53--G13964C--occurred in three out of 42 (7.1%) 'hereditary' breast cancer patients, but not in any of 171 'sporadic' breast cancer control individuals (P = 0.0003). If this relatively frequent occurrence of G13964C in familial breast cancer and absence in control individuals were confirmed, then this would suggest that the G13964C variant plays a role in breast cancer susceptibility. We genotyped 71 familial breast cancer patients and 143 control individuals for the G13964C variant using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) analysis. Three (4.2%; 95% confidence interval [CI] 0-8.9%) G13964C heterozygotes were identified. The variant was also identified in 5 out of 143 (3.5%; 95% CI 0.6-6.4%) control individuals without breast cancer or a family history of breast cancer, however, which is no different to the proportion found in familial cases (P = 0.9). The present study would have had 80% power to detect an odds ratio of 4.4, and we therefore conclude that the G13946C polymorphism is not a 'high-risk' mutation for familial breast cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Doctoral Student 4 14%
Other 3 10%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 3 10%
Unknown 8 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 5 17%
Medicine and Dentistry 4 14%
Social Sciences 1 3%
Neuroscience 1 3%
Other 1 3%
Unknown 10 34%