You are here

  • Home
  • Archive
  • Volume 59, Issue 7
  • Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors

Article info

Article menu
Cancer genetics
Original research
Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors

Authors

  • Andrew Lee Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Xin Yang Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Jonathan Tyrer Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Aleksandra Gentry-Maharaj MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK PubMed articlesGoogle scholar articles
  • Andy Ryan MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK PubMed articlesGoogle scholar articles
  • Nasim Mavaddat Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Alex P Cunningham Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Tim Carver Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Stephanie Archer The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Goska Leslie Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Jatinder Kalsi Department of Women’s Cancer, University College London Institute for Women's Health, London, UK Department of Epidemiology and Public Health, University College London Research, London, UK PubMed articlesGoogle scholar articles
  • Faiza Gaba CRUK Barts Cancer Centre, Wolfson Institute of Preventive Medicine, London, UK PubMed articlesGoogle scholar articles
  • Ranjit Manchanda CRUK Barts Cancer Centre, Wolfson Institute of Preventive Medicine, London, UK Department of Gynaecological Oncology, Barts Health NHS Trust, London, UK Department of Health Services Research, London School of Hygiene & Tropical Medicine, London, UK PubMed articlesGoogle scholar articles
  • Simon Gayther Center for Bioinformatics and Functional Genomics, Cedars-Sinai Medical Center Samuel Oschin Comprehensive Cancer Institute, Los Angeles, California, USA PubMed articlesGoogle scholar articles
  • Susan J Ramus University of New South Wales, School of Women's and Children's Health, Randwick, New South Wales, Australia Adult Cancer Program, Lowy Cancer Research Centre, University of New South Wales, Sydney, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Fiona M Walter The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Marc Tischkowitz Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  • Ian Jacobs Department of Women’s Cancer, University College London Institute for Women's Health, London, UK University of New South Wales, School of Women's and Children's Health, Randwick, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Usha Menon MRC Clinical Trials Unit, Institute of Clinical Trials & Methodology, University College London, London, UK PubMed articlesGoogle 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 articlesGoogle scholar articles
  • Paul 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 articlesGoogle scholar articles
  • Antonis C Antoniou Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Antonis C Antoniou, Department of Public Health and Primary Care, University of Cambridge Centre for Cancer Genetic Epidemiology, Cambridge CB1 8RN, UK; aca20{at}medschl.cam.ac.uk
View Full Text

Citation

Lee A, Yang X, Tyrer J, et al
Comprehensive epithelial tubo-ovarian cancer risk prediction model incorporating genetic and epidemiological risk factors
Journal of Medical Genetics 2022;59:632-643.

Publication history

  • Received April 7, 2021
  • Accepted May 18, 2021
  • First published November 29, 2021.
Online issue publication 
June 27, 2022

Article Versions

  • 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.

  • 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.

  • 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.

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/.