Manchanda, R;
Gaba, F;
(2019)
A commentary on population genetic testing for primary prevention: changing landscape and the need to change paradigm.
BJOG: An International Journal of Obstetrics and Gynaecology
, 126
(6)
pp. 686-689.
10.1111/1471-0528.15657.
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Abstract
BRCA1/BRCA2 genes were discovered in early 1990s and clinical testing for these has been available since the mid-1990s. National Institute of Health and Care Excellence (NICE) and other international guidelines recommend genetic-testing at a ~10% probability threshold of carrying a BRCA-mutation. A detailed three generation family-history (FH) of cancer is used within complex mathematical models (e.g. BOADICEA, BRCAPRO, Manchester-Scoring-System) or through standardized clinical-criteria to identify individuals who fulfil this probability threshold and can be offered genetic-testing. Identification of unaffected carriers is important given the high risk of cancer in these women and the effective options available for clinical management which can reduce cancer risk, improve outcomes and minimise burden of disease. This article is protected by copyright. All rights reserved.
Type: | Article |
---|---|
Title: | A commentary on population genetic testing for primary prevention: changing landscape and the need to change paradigm |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1111/1471-0528.15657 |
Publisher version: | https://doi.org/10.1111/1471-0528.15657 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10068781 |
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