Evidence map›Paper›PMID 11857015›Full record

ArticleBritish journal of cancer2002

A comprehensive model for familial breast cancer incorporating BRCA1, BRCA2 and other genes.

A C Antoniou, P D P Pharoah, G McMullan, N E Day, M R Stratton, J Peto, B J Ponder, D F Easton

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in British journal of cancer, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06564428 (A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration), which is not on this map. Cited by 170 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 6 pooled it
17.0field-weighted citation impact, top 1% of its field
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.

NCT06564428 recruitingnot on this mapstarted 2024, after this paper: background citation

A Cohort Study of Hereditary Ovarian Cancer Risk Prediction Models and Pathogenesis Exploration

TypeobservationalSponsorPeking University Third HospitalRan2024 to 2026Enrolled1,000ConditionsOvarian NeoplasmsArmsSuspective gene mutations and family history
3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 6 syntheses or guidelines pooled it, 490 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Pooled it
  6. The 6q22.33 locus and breast cancer susceptibility.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2009
    Pooled it
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Prognostic implications of ductal carcinomaAnnals of surgical treatment and research · 2024
    Article
  14. Article
  15. Article
  16. Development of a Breast Cancer Risk Prediction Model Integrating Monogenic, Polygenic, and Epidemiologic Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

110 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 1 country.

A C AntoniouCRC Genetic Epidemiology Unit, Institute of Public Health, Strangeways Research Laboratory, Worts Causeway, University of Cambridge, Cambridge CB1 8RN, UK.
P D P Pharoah
G McMullan
N E Day
M R Stratton
J Peto
B J Ponder
D F Easton
University of Cambridge · GBInstitute of Cancer Research · GBCancer Research UK Cambridge Center · GBMRC Epidemiology Unit · GB

Funding

RISK ESTIMATION AND MODIFIER GENES IN INHERITED CANCERR01CA081203 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI GOLDGAR, DAVID E. · 2000 to 2003
$281k
NCI NIH HHS 1R01 CA81203-01A1
6 · The paper itself

Abstract

In computing the probability that a woman is a BRCA1 or BRCA2 carrier for genetic counselling purposes, it is important to allow for the fact that other breast cancer susceptibility genes may exist. We used data from both a population based series of breast cancer cases and high risk families in the UK, with information on BRCA1 and BRCA2 mutation status, to investigate the genetic models that can best explain familial breast cancer outside BRCA1 and BRCA2 families. We also evaluated the evidence for risk modifiers in BRCA1 and BRCA2 carriers. We estimated the simultaneous effects of BRCA1, BRCA2, a third hypothetical gene 'BRCA3', and a polygenic effect using segregation analysis. The hypergeometric polygenic model was used to approximate polygenic inheritance and the effect of risk modifiers. BRCA1 and BRCA2 could not explain all the observed familial clustering. The best fitting model for the residual familial breast cancer was the polygenic, although a model with a single recessive allele produced a similar fit. There was also significant evidence for a modifying effect of other genes on the risks of breast cancer in BRCA1 and BRCA2 mutation carriers. Under this model, the frequency of BRCA1 was estimated to be 0.051% (95% CI: 0.021-0.125%) and of BRCA2 0.068% (95% CI: 0.033-0.141%). The breast cancer risk by age 70 years, based on the average incidence over all modifiers was estimated to be 35.3% for BRCA1 and 50.3% for BRCA2. The corresponding ovarian cancer risks were 25.9% for BRCA1 and 9.1% for BRCA2. The findings suggest that several common, low penetrance genes with multiplicative effects on risk may account for the residual non-BRCA1/2 familial aggregation of breast cancer. The modifying effect may explain the previously reported differences between population based estimates for BRCA1/2 penetrance and estimates based on high-risk families.

Indexed as

Models, GeneticAdultAgedBreast NeoplasmsFemaleGenes, BRCA1Genes, BRCA2HumansMiddle AgedMutation

Identifiers

PMID11857015
PMCPMC2746531
OpenAlexW2117298495

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Registered trials

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.