Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 289

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Cancer risks in A-T heterozygotes

Easton, D. F.·1994·International Journal of Radiation Biology

Abstract

It is well established that ataxia-telangiectasia (A-T) patients suffer a grossly elevated risk of cancer, particularly lymphoma and leukaemia, but the possibility of an excess cancer risk of cancer in heterozygotes carriers of A-T mutations is more controversial. A number of studies indicate that female relatives of A-T patients suffer excess risk of breast cancer; based on an overview of all currently available data the estimated relative risk of breast cancer to A-T heterozygotes is 3.9-fold (95% CI 2.1-7.2). There is some suggestion that relative risk declines with age. In contrast, there is no consistent evidence of a risk from any other cancer; the estimated risk from all studies is 1.9 (95% CI 1.5-2.5) but some studies show a larger effect whilst others show no excess risk. On the basis of these results and the likely frequency of the A-T gene, A-T heterozygotes would account for between 1 and 13% of breast cancer cases, with 3.8% being the best estimate. However, unless the breast cancer risk has been seriously underestimated, the A-T gene will make little contribution to familial breast cancer.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/09553002.1994.11772027

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 18 references

Cited by

See all 289

Metadata

Authors
Easton, D. F.
Venue
International Journal of Radiation Biology
Published
1994-01
Volume
66
Issue
sup5
Pages
S177-S182
ISSN
  • 0955-3002 (ISSN-L)
  • 1362-3095
OpenAlex
W1987060399
Cited by
289
References
18
FWCI
9.39
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cancer risks in A-T heterozygotes. https://app.cochat.ai/papers/10.1080/09553002.1994.11772027
The paper
Easton, D. F. (1994). Cancer risks in A-T heterozygotes. International Journal of Radiation Biology. https://doi.org/10.1080/09553002.1994.11772027

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.