The DOI matches its Crossref record.
Systematic Population-Based Assessment of Cancer Risk in First-Degree Relatives of Cancer Probands
Abstract
BACKGROUND: Cancer has long been recognized to have a familial component. Elevated risks for cancers at the same site for relatives of cancer probands have been reported for both common cancers and a number of the rarer cancer sites. For a particular cancer site, however, the estimated risks to relatives have varied considerably depending on criteria for selection of probands, how cancers were determined in relatives, and overall study design. Not surprisingly, the estimated risks of other cancers in relatives of probands with cancer at a given site have been subject to even more variation. PURPOSE: The aim of this study was to use the Utah Population Database resource to systematically study familial clustering of 28 distinct cancer site definitions among first-degree relatives (parents, siblings, and off-spring) of cancer probands. METHODS: We estimated familial relative risks from the Utah Population Database by identifying all cases of cancer in these first-degree relatives. These observed values were compared with those expected based on cohort-specific internal rates calculated from 399,786 relatives of all individuals in the Utah Population Database known to have died in Utah. RESULTS: All sites showed an excess of cancers of the same site among relatives, with thyroid and colon cancers and lymphocytic leukemia showing the highest familial risks. When the analyses were restricted to cases with early ages at diagnosis, increased familial components for most cancer sites became evident. A significant difference in familial relative risk (FRR) between male (FRR = 4.04; 95% confidence interval [CI] = 3.13-5.07) and female (FRR = 2.24; 95% CI = 1.54-3.08) probands was found for colon cancer. Highly significant familial associations (one-sided; P < .001) were found among breast, colon, and prostate cancers and between breast and thyroid cancers. Statistically significant (one-sided, P < .01) associations were also found between tobacco-associated sites (lung, larynx, lip, and cervix). CONCLUSIONS: This study represents a unique comprehensive population-based study of familial cancer. The familial associations reported here will be useful in generating hypotheses about specific genetic and environmental factors that can be tested in genetic linkage and case-control studies.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Lichtenstein, P., Holm, N. V., Verkasalo, P. K., Iliadou, A., Kaprio, J., Koskenvuo, M., Pukkala, E., Skytthe, A., & Hemminki, K. (2000) · New England Journal of Medicine · doi:10.1056/nejm200007133430201 · Cited by 4,114
Epidemiology of Gallbladder Disease: Cholelithiasis and Cancer
Stinton, L. M., & Shaffer, E. A. (2012) · Gut and Liver · doi:10.5009/gnl.2012.6.2.172 · Cited by 1,381
Familial Risk and Heritability of Cancer Among Twins in Nordic Countries
Mucci, L. A., Hjelmborg, J. B., Harris, J. R., Czene, K., Havelick, D. J., Scheike, T., Graff, R. E., Holst, K., Möller, S., Unger, R. H., et al. (2016) · JAMA · doi:10.1001/jama.2015.17703 · Cited by 938
Jazdzewski, K., Murray, E. L., Franssila, K., Jarzab, B., Schoenberg, D. R., & de la Chapelle, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802682105 · Cited by 842
A systematic review and meta-analysis of familial colorectal cancer risk
Johns, L. E., & Houlston, R. S. (2001) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2001.04677.x · Cited by 722
Metadata
- Authors
- Goldgar, D. E., Easton, D. F., Cannon-Albright, L. A., & Skolnick, M. H.
- Venue
- JNCI: Journal of the National Cancer Institute
- Publisher
- Oxford University Press (OUP)
- Published
- 1994-11-02
- Volume
- 86
- Issue
- 21
- Pages
- 1600-1608
- ISSN
- 0027-8874 (ISSN-L)
- 1460-2105
- OpenAlex
- W2170958906
- Cited by
- 1,031
- References
- 0
- FWCI
- 10.21
- 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: Systematic Population-Based Assessment of Cancer Risk in First-Degree Relatives of Cancer Probands. https://app.cochat.ai/papers/10.1093/jnci/86.21.1600
- The paper
- Goldgar, D. E., Easton, D. F., Cannon-Albright, L. A., & Skolnick, M. H. (1994). Systematic Population-Based Assessment of Cancer Risk in First-Degree Relatives of Cancer Probands. JNCI: Journal of the National Cancer Institute. https://doi.org/10.1093/jnci/86.21.1600
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.