- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1465-542X
- Extent
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Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Parity and breast cancer risk among BRCA1 and BRCA2mutation carriers ; volume:8 ; number:6 ; day:22 ; month:12 ; year:2006 ; pages:1-6 ; date:12.2006
Breast cancer research ; 8, Heft 6 (22.12.2006), 1-6, 12.2006
- Creator
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Antoniou, Antonis C.
- Contributor
-
Shenton, Andrew
Maher, Eamonn R.
Watson, Emma
Woodward, Emma
Lalloo, Fiona
Easton, Douglas F.
Evans, D Gareth
SpringerLink (Online service)
- DOI
-
10.1186/bcr1630
- URN
-
urn:nbn:de:1111-2016032360922
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Antoniou, Antonis C.
- Shenton, Andrew
- Maher, Eamonn R.
- Watson, Emma
- Woodward, Emma
- Lalloo, Fiona
- Easton, Douglas F.
- Evans, D Gareth
- SpringerLink (Online service)
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Common variants in the ATM, BRCA1, BRCA2, CHEK2 and TP53 cancer susceptibility genes are unlikely to increase breast cancer risk
Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
Incorporating tumour pathology information into breast cancer risk prediction algorithms
Cancer incidence in relatives of British Fanconi Anaemia patients
Folic acid and cancer risk in BRCA1 carriers
Selenium and the risk of cancer in BRCA1 carriers
Prostate screening uptake in Australian BRCA1 and BRCA2 carriers
BRCA1 and BRCA2 mutation predictions using the BOADICEA and BRCAPRO models and penetrance estimation in high-risk French-Canadian families
BRCA1 and BRCA2 mutations in a population-based study of male breast cancer
Clinical software development for the Web: lessons learned from the BOADICEA project
The admixture maximum likelihood test to test for association between rare variants and disease phenotypes
The androgen receptor CAG repeat polymorphism and modification of breast cancer risk in BRCA1 and BRCA2 mutation carriers
Common variants in the ATM, BRCA1, BRCA2, CHEK2 and TP53 cancer susceptibility genes are unlikely to increase breast cancer risk
Letter to the editor: a response to Ming’s study on machine learning techniques for personalized breast cancer risk prediction
Incorporating tumour pathology information into breast cancer risk prediction algorithms
Cancer incidence in relatives of British Fanconi Anaemia patients
Folic acid and cancer risk in BRCA1 carriers
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