Journal of the National Cancer Institute Advance Access originally published online on July 8, 2008
JNCI Journal of the National Cancer Institute 2008 100(14):978-979; doi:10.1093/jnci/djn215
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© The Author 2008. Published by Oxford University Press.
EDITORIALS |
Gauging the Performance of SNPs, Biomarkers, and Clinical Factors for Predicting Risk of Breast Cancer
Affiliation of authors: Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA (MSP, HEJ)
Correspondence to: Margaret S. Pepe, PhD, Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, M2-B500, Seattle, WA 98109 (e-mail: mspepe@u.washington.edu).
| The first 150 words of the full text of this article appear below. |
Predicting risk of cancer for individuals has long been a goal of medical research. If an individual's risk could be predicted, then prevention and screening modalities could be targeted toward those at meaningfully high risk. This approach is not only more cost efficient than targeting the whole population but also more ethical, at least when interventions are burdensome to the individual. The quest for risk predictors has been revitalized with the emergence of technologies that measure genetic information and other molecular and physiological attributes of the individual. In this issue of the Journal, Gail (1) asks to what extent newly discovered associations between seven single-nucleotide polymorphisms (SNPs) and incidence of breast cancer can improve assessment of breast cancer risk. Comparisons are made with models that employ standard clinical factors to evaluate the incremental value of the SNPs for prediction over the standard clinical information. Using estimated relative risks
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J Natl Cancer Inst 2008 100: 1037-1041.
J Natl Cancer Inst 2008 100: 975.
J Natl Cancer Inst 2008 100: 975.
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