Evidence map›Paper›PMID 27171545›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Breast cancer risk prediction using a polygenic risk score in the familial setting: a prospective study from the Breast Cancer Family Registry and kConFab.

Hongyan Li, Bingjian Feng, Alexander Miron, Xiaoqing Chen, Jonathan Beesley, Emmanuella Bimeh, Daniel Barrowdale, Esther M John, Mary B Daly, Irene L Andrulis and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Comprehensive Inherited Risk Estimation for Risk-Based Breast Cancer Screening in Women.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. A NovelHuman mutation · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

23 authors at 12 institutions in 4 countries.

Hongyan LiCancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
Bingjian FengDepartment of Dermatology, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Alexander MironDana Farber Cancer Institute, Boston, Massachusetts, USA.
Xiaoqing ChenCancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Jonathan BeesleyCancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.ORCID 0000-0003-1942-325X
Emmanuella BimehDivision of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.
Daniel BarrowdaleCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0003-1661-3939
Esther M JohnCancer Prevention Institute of California, Fremont, California, USA.
Mary B DalyDepartment of Clinical Genetics, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Irene L AndrulisLunenfeld-Tanenbaum Research Institute, Department of Molecular Genetics, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada.
Saundra S BuysDepartment of Medicine, Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, Utah, USA.
Peter KraftDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.
kConFab investigators
Heather ThorneResearch Division, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
Georgia Chenevix-TrenchCancer Division, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Melbourne, Australia.ORCID 0000-0002-6313-9005
Antonis C AntoniouCentre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Paul A JamesFamilial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.ORCID 0000-0002-4361-4657
Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Kelly-Anne PhillipsFamilial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
John L HopperCentre for Molecular, Environmental, Genetic and Analytic Epidemiology, Melbourne School of Population Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-8567-173X
Gillian MitchellFamilial Cancer Centre, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia.
David E GoldgarCancer Control and Population Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.ORCID 0000-0003-0697-9347
Peter MacCallum Cancer Centre · AUQIMR Berghofer Medical Research Institute · AUUniversity of Melbourne · AUUniversity of Utah · USHuntsman Cancer Institute · USUniversity of Cambridge · GBColumbia University Irving Medical Center · USDana-Farber Cancer Institute · USFox Chase Cancer Center · USHarvard University · USLunenfeld-Tanenbaum Research Institute · CAStanford University · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
Genes, environment and breast cancer risk: The 15 year follow-up of the Prof-SC (Diversity Supplement)R01CA159868 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOPPER, JOHN L, TERRY, MARY BETH · 2011 to 2015
$9.0M
A comprehensive approach to breast cancer susceptibility across the risk spectrumR01CA155767 · NCI · UNIVERSITY OF UTAH · PI GOLDGAR, DAVID E., SOUTHEY, MELISSA · 2011 to 2015
$2.2M
Cancer Research UK 20861NCI NIH HHS P30 CA006927NCI NIH HHS R01 CA155767NCI NIH HHS R01 CA159868NCI NIH HHS R35 CA197449NCI NIH HHS U19 CA148065NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

purposeThis study examined the utility of sets of single-nucleotide polymorphisms (SNPs) in familial but non-BRCA-associated breast cancer (BC).

methodsWe derived a polygenic risk score (PRS) based on 24 known BC risk SNPs for 4,365 women from the Breast Cancer Family Registry and Kathleen Cuningham Consortium Foundation for Research into Familial Breast Cancer familial BC cohorts. We compared scores for women based on cancer status at baseline; 2,599 women unaffected at enrollment were followed-up for an average of 7.4 years. Cox proportional hazards regression was used to analyze the association of PRS with BC risk. The BOADICEA risk prediction algorithm was used to measure risk based on family history alone.

resultsThe mean PRS at baseline was 2.25 (SD, 0.35) for affected women and was 2.17 (SD, 0.35) for unaffected women from combined cohorts (P < 10

conclusionIncluding BC-associated SNPs in risk assessment can provide more accurate risk prediction than family history alone and can influence recommendations for cancer screening and prevention modalities for high-risk women.Genet Med 19 1, 30-35.

Indexed as

Early Detection of CancerGenetic Predisposition to DiseaseAdultAgedBreast NeoplasmsFemaleHumansMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideRegistriesRisk AssessmentRisk Factors

Identifiers

PMID27171545
PMCPMC5107177
OpenAlexW2381489064

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.