Evidence map›Paper›PMID 41066089›Full record

ArticleJAMA oncology2025

Pathogenic Variants, Family History, and Cumulative Risk of Breast Cancer in US Women.

Katie M O'Brien, Alexander P Keil, Jack A Taylor, Clarice R Weinberg, Eric C Polley, Siddhartha Yadav, Nicholas J Boddicker, Chunling Hu, Christine B Ambrosone, Hoda Anton-Culver and 29 more

Abstract read
In one paragraph

Article in JAMA oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Contemporary risk assessment and risk-reducing strategies for tubo-ovarian cancer in women with BRCA pathogenic variants.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Genomic ascertainment ofmedRxiv : the preprint server for health sciences · 2026
    Article
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

39 authors.

Katie M O'BrienEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Alexander P KeilOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
Jack A TaylorEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Clarice R WeinbergBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.
Eric C PolleyDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois.
Siddhartha YadavDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Nicholas J BoddickerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Chunling HuDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
Christine B AmbrosoneRoswell Park Comprehensive Cancer Center, Buffalo, New York.
Hoda Anton-CulverUniversity of California, Irvine.
Paul L AuerDivision of Biostatistics, Data Science Institute, and Cancer Center, Medical College of Wisconsin, Milwaukee.
Clara BodelonDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Kristen BrantleyDana Farber Cancer Institute, Boston, Massachusetts.
Elizabeth S BurnsideCarbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison.
Fei ChenKeck School of Medicine, University of Southern California, Los Angeles.
Susan M DomchekDivision of Hematology/Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
A Heather EliassenDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christopher A HaimanKeck School of Medicine, University of Southern California, Los Angeles.
James M HodgeDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Peter KraftTrans-divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.
James V LaceyBeckman Research Institute, City of Hope Cancer Center, Duarte, California.
Sara LindstroemDepartment of Epidemiology, University of Washington, Seattle.
Maria Elena MartinezDepartment of Family Medicine and Public Health, University of California, San Diego, La Jolla.
Katherine L NathansonBasser Center for Breast Cancer, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Susan L NeuhausenBeckman Research Institute, City of Hope Cancer Center, Duarte, California.
Janet E OlsonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Julie R PalmerBoston University School of Medicine and Slone Epidemiology Center, Boston, Massachusetts.
Alpa V PatelDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Kathryn L PenneyChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Kathryn J RuddyDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Christopher G ScottDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Lauren R TerasDepartment of Population Science, American Cancer Society, Atlanta, Georgia.
Amy Trentham-DietzCarbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison.
Celine M VachonDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
Jeffrey N WeitzelUniversity of Kansas Medical Center, Kansas City.
Song YaoRoswell Park Comprehensive Cancer Center, Buffalo, New York.
Gary ZirpoliBoston University School of Medicine and Slone Epidemiology Center, Boston, Massachusetts.
Fergus J CouchDepartment of Oncology, Mayo Clinic, Rochester, Minnesota.
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective: To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants: This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures: PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures: Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results: A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM, BRCA1, BRCA2, CHEK2, and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance: In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.

Indexed as

Breast NeoplasmsGenetic Predisposition to DiseaseAgedAged, 80 and overAtaxia Telangiectasia Mutated ProteinsBRCA1 ProteinBRCA2 ProteinCase-Control StudiesCheckpoint Kinase 2Fanconi Anemia Complementation Group N ProteinFemaleGenetic VariationHumansIncidenceMedical History TakingMiddle AgedAtaxia Telangiectasia Mutated ProteinsATM protein, humanBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanCheckpoint Kinase 2CHEK2 protein, humanFanconi Anemia Complementation Group N ProteinPALB2 protein, human

Identifiers

PMID41066089
PMCPMC12512027

What OpenQuestion holds

Textmetadata
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.