Preventive population genomics: The model of BRCA related cancers.

BRCA Cancer prevention Genomics Population testing Precision prevention SNPs Screening

Journal

Advances in genetics
ISSN: 0065-2660
Titre abrégé: Adv Genet
Pays: United States
ID NLM: 0370421

Informations de publication

Date de publication:
2021
Historique:
entrez: 30 11 2021
pubmed: 1 12 2021
medline: 28 1 2022
Statut: ppublish

Résumé

Preventive population genomics offers the prospect of population stratification for targeting screening and prevention and tailoring care to those at greatest risk. Within cancer, this approach is now within reach, given our expanding knowledge of its heritable components, improved ability to predict risk, and increasing availability of effective preventive strategies. Advances in technology and bioinformatics has made population-testing technically feasible. The BRCA model provides 30 years of insight and experience of how to conceive of and construct care and serves as an initial model for preventive population genomics. Population-based BRCA-testing in the Jewish population is feasible, acceptable, reduces anxiety, does not detrimentally affect psychological well-being or quality of life, is cost-effective and is now beginning to be implemented. Population-based BRCA-testing and multigene panel testing in the wider general population is cost-effective for numerous health systems and can save thousands more lives than the current clinical strategy. There is huge potential for using both genetic and non-genetic information in complex risk prediction algorithms to stratify populations for risk adapted screening and prevention. While numerous strides have been made in the last decade several issues need resolving for population genomics to fulfil its promise and potential for maximizing precision prevention. Healthcare systems need to overcome significant challenges associated with developing delivery pathways, infrastructure expansion including laboratory services, clinical workforce training, scaling of management pathways for screening and prevention. Large-scale real world population studies are needed to evaluate context specific population-testing implementation models for cancer risk prediction, screening and prevention.

Identifiants

pubmed: 34844711
pii: S0065-2660(21)00012-2
doi: 10.1016/bs.adgen.2021.08.001
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-33

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosures R.M. declares research funding from the British Gynaecological Cancer Society, Barts & the London Charity, Rosetrees Trust and Eve Appeal outside this work, an honorarium for grant review from Israel National Institute for Health Policy Research and honorarium for advisory board membership from Astrazeneca/MSD. R.M. is supported by an NHS Innovation Accelerator (NIA) Fellowship for population testing.

Auteurs

Dan Reisel (D)

EGA Institute for Women's Health, University College London, London, United Kingdom.

Chawan Baran (C)

Wolfson Institute of Preventive Medicine, CRUK Barts Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom.

Ranjit Manchanda (R)

Wolfson Institute of Preventive Medicine, CRUK Barts Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom; Department of Gynaecological Oncology, St Bartholomew's Hospital, London, United Kingdom; Department of Health Services Research, London School of Hygiene & Tropical Medicine, London, United Kingdom. Electronic address: r.manchanda@qmul.ac.uk.

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Classifications MeSH