Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence

Andrew Lee; Nasim Mavaddat; Alex Cunningham; Tim Carver; Lorenzo Ficorella; Stephanie Archer; Fiona M Walter; Marc Tischkowitz; Jonathan Roberts; Juliet Usher-Smith; Jacques Simard; Marjanka K Schmidt; Peter Devilee; Vesna Zadnik; Hannes Jürgens; Emmanuelle Mouret-Fourme; Antoine De Pauw; Matti Rookus; Thea M Mooij; Paul PD Pharoah; Douglas F Easton; Antonis C Antoniou

doi:10.1136/jmedgenet-2022-108471

Article info

PDF

PDF +
Supplementary
Material

Cancer genetics

Original research

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence

Authors

Andrew Lee Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Nasim Mavaddat Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Alex Cunningham Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Tim Carver Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Lorenzo Ficorella Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Stephanie Archer Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Fiona M Walter Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK PubMed articles Google scholar articles
Marc Tischkowitz Department of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Jonathan Roberts Department of Medical Genetics and National Institute for Health Research, Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Juliet Usher-Smith Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Jacques Simard Centre Hospitalier Universitaire de Québec–Université Laval Research Center, Université Laval, Quebec, Quebec, Canada PubMed articles Google scholar articles
Marjanka K Schmidt Division of Molecular Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands PubMed articles Google scholar articles
Peter Devilee Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands PubMed articles Google scholar articles
Vesna Zadnik Epidemiology and Cancer Registry, Institute of Oncology, Ljubljana, Slovenia PubMed articles Google scholar articles
Hannes Jürgens Clinic of Hematology and Oncology, Tartu University Hospital, Tartu, Estonia PubMed articles Google scholar articles
Emmanuelle Mouret-Fourme Service de Génétique, Institut Curie, Paris, France PubMed articles Google scholar articles
Antoine De Pauw Service de Génétique, Institut Curie, Paris, France PubMed articles Google scholar articles
Matti Rookus Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands PubMed articles Google scholar articles
Thea M Mooij Department of Epidemiology, Netherlands Cancer Institute, Amsterdam, The Netherlands PubMed articles Google scholar articles
Paul PD Pharoah Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Douglas F Easton Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles
Antonis C Antoniou Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articles Google scholar articles

Correspondence to Professor Antonis C Antoniou, Department of Public Health and Primary Care, Strangeways Research Laboratory, Cambridge, UK; aca20{at}medschl.cam.ac.uk

View Full Text

Citation

Lee A, Mavaddat N, Cunningham A, et al

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1 updates to tumour pathology and cancer incidence

Journal of Medical Genetics 2022;59:1206-1218.

Publication history

Received January 26, 2022
Accepted April 23, 2022
First published September 26, 2022.

Online issue publication

November 22, 2022

Article Versions

Previous version (22 November 2022).
You are viewing the most recent version of this article.

Supplementary Data

This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Data supplement 1

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

Log in using your username and password

Main menu

Log in using your username and password

You are here

Authors

Citation

Publication history

Article Versions

Supplementary Data

Request permissions

Copyright information

Read the full text or download the PDF:

Log in using your username and password