A clinical model for identifying the short-term risk of breast cancer-Reference-Cited by-同舟云学术

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A clinical model for identifying the short-term risk of breast cancer

Published:2017-03-14 Issue:1 Volume:19 Page:
ISSN:1465-542X
Container-title:Breast Cancer Research
language:en
Short-container-title:Breast Cancer Res

Author:

Eriksson Mikael,Czene Kamila,Pawitan Yudi,Leifland Karin,Darabi Hatef,Hall Per

Funder

Märit and Hans Rausing’s Initiative Against Breast Cancer

Kamprad Foundation

Stockholm County Council, ALF Medicine 2016

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/content/pdf/10.1186/s13058-017-0820-y.pdf

Reference21 articles.

1. Gail MH, Brinton LA, Byar DP, Corle DK, Green SB, Schairer C, et al. Projecting individualised probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst. 1989;81(24):1879–86.

2. Antoniou AC, Cunningham AP, Peto J, Evans DG, Lalloo F, Narod SA, et al. The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions. Br J Cancer. 2008;98(8):1457–66. doi: 10.1038/sj.bjc.6604305 .

3. Darabi H, Czene K, Zhao W, Liu J, Hall P, Humphreys K. Breast cancer risk prediction and individualised screening based on common genetic variation and breast density measurement. Breast Cancer Res. 2012;14(1):R25.

4. Mavaddat N, Pharoah PD, Michailidou K, Tyrer J, Brook MN, Bolla MK, et al. Prediction of breast cancer risk based on profiling with common genetic variants. J Natl Cancer Inst. 2015;107(5):djv036. doi: 10.1093/jnci/djv036 .

5. iCAD Inc. http://www.icadmed.com/ . Accessed 1 Mar 2017.

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