Evidence map›Paper›PMID 42482767›Full record

ReviewBMJ oncology2026

Identification and management of genetic susceptibility to cancer: UK perspective.

Ciaran McCarthy, Katie Snape

Abstract readReview
In one paragraph

Review in BMJ oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ciaran McCarthyDepartment of Clinical Genetics, HCS Belfast Health and Social Care Trust, Belfast, UK.ORCID https://orcid.org/0009-0009-7308-7067
Katie SnapeDepartment of Clinical Genetics, St George's Healthcare NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-1739-7986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a genomic disease caused by variants in genes that impact on the regulation of cell division, cell growth and cell death. While the majority of cancers are caused by acquired genomic variation, a significant minority are influenced by inherited genetic variation which can increase the chance of a person developing cancer in their lifetime. Inherited genetic factors can be monogenic or polygenic and also interact with other cancer risk factors to create an individualised risk profile. Understanding personalised cancer risk can facilitate precision screening, prevention and early detection strategies. In this review, we give an overview of constitutional genetic susceptibility to cancer, how to assess and identify enhanced susceptibility and exemplars of how this influences precision management.

Indexed as

Genetic markers

Identifiers

PMID42482767
PMCPMC13386061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.