Evidence map›Paper›PMID 27112364›Full record

SynthesisGenetic epidemiology2016

Penetrance of ATM Gene Mutations in Breast Cancer: A Meta-Analysis of Different Measures of Risk.

Monica Marabelli, Su-Chun Cheng, Giovanni Parmigiani

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Genetic epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 8 pooled it
4.9field-weighted citation impact, top 5% 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.

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

75 citing papers in PubMed, 8 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  5. Homologous Recombination Deficiency in Pancreatic Cancer: A Systematic Review and Prevalence Meta-Analysis.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2021
    Pooled it
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  9. Balkan medical journal · 2026
    Article
  10. Review
  11. Review
  12. Article
  13. Article
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  15. Article
  16. Breast cancer and ATM mutations: treatment implications.Hereditary cancer in clinical practice · 2024
    Review
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  18. Article
  19. Review
  20. Article

15 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

3 authors at 3 institutions in 2 countries.

Monica MarabelliDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Su-Chun ChengDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Giovanni ParmigianiDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Dana-Farber Cancer Institute · USHarvard University · USUniversity of Pavia · IT

Funding

Novel Tools for Familial Risk PredictionR21CA177233 · NCI · DANA-FARBER CANCER INST · PI PARMIGIANI, GIOVANNI LUIGI · 2013 to 2014
$406k
NCI NIH HHS R21 CA177233
6 · The paper itself

Abstract

The gene responsible for ataxia-telangiectasia syndrome, ATM, is also an intermediate-risk breast cancer (BC) susceptibility gene. Numerous studies have been carried out to determine the contribution of ATM gene mutations to BC risk. Epidemiological cohorts, segregation analyses, and case-control studies reported BC risk in different forms, including penetrance, relative risk, standardized incidence ratio, and odds ratio. Because the reported estimates vary both qualitatively and quantitatively, we developed a general model allowing the integration of the different types of cancer risk available in the literature. We performed a comprehensive meta-analysis identifying 19 studies, and used our model to obtain a consensus estimate of BC penetrance. We estimated the cumulative risk of BC in heterozygous ATM mutation carriers to be 6.02% by 50 years of age (95% credible interval: 4.58-7.42%) and 32.83% by 80 years of age (95% credible interval: 24.55-40.43%). An accurate assessment of cancer penetrance is crucial to help mutation carriers make medical and lifestyle decisions that can reduce their chances of developing the disease.

Indexed as

AdultAge FactorsAtaxia Telangiectasia Mutated ProteinsBreast NeoplasmsDatabases, FactualFemaleGenetic Predisposition to DiseaseHeterozygoteHumansLife StyleModels, GeneticMutationPenetranceRisk FactorsAtaxia Telangiectasia Mutated Proteinsataxia-telangiectasia mutated (ATM) genegenetic predispositionhereditary breast cancerpenetrance

Identifiers

PMID27112364
PMCPMC7376952
OpenAlexW2343071987

What OpenQuestion holds

Textmetadata
LicenceTDM
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.