Evidence map›Paper›PMID 32066492›Full record

ReviewBreast cancer research : BCR2020

Clinical applications of polygenic breast cancer risk: a critical review and perspectives of an emerging field.

Tatiane Yanes, Mary-Anne Young, Bettina Meiser, Paul A James

Open access · goldAbstract readReview
In one paragraph

Review in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 3 pooled it
19.6field-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.

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

77 citing papers in PubMed, 3 syntheses or guidelines pooled it, 159 citations in OpenAlex.

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  5. Article
  6. GP perspectives on genomics in primary care: a qualitative study on using polygenic risk scores to evaluate cancer risk.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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17 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

4 authors at 4 institutions in 1 country.

Tatiane YanesPsychosocial Research Group, Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia. t.yanes@uq.edu.au.ORCID 0000-0002-3905-3025
Mary-Anne YoungKinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
Bettina MeiserPsychosocial Research Group, Prince of Wales Clinical School, Faculty of Medicine, UNSW Sydney, Sydney, NSW, Australia.
Paul A JamesParkville Integrated Familial Cancer Centre, Peter MacCallum Cancer Centre, Melbourne, VIC, 3000, Australia.
Garvan Institute of Medical Research · AUPeter MacCallum Cancer Centre · AUThe University of Queensland · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polygenic factors are estimated to account for an additional 18% of the familial relative risk of breast cancer, with those at the highest level of polygenic risk distribution having a least a twofold increased risk of the disease. Polygenic testing promises to revolutionize health services by providing personalized risk assessments to women at high-risk of breast cancer and within population breast screening programs. However, implementation of polygenic testing needs to be considered in light of its current limitations, such as limited risk prediction for women of non-European ancestry. This article aims to provide a comprehensive review of the evidence for polygenic breast cancer risk, including the discovery of variants associated with breast cancer at the genome-wide level of significance and the use of polygenic risk scores to estimate breast cancer risk. We also review the different applications of this technology including testing of women from high-risk breast cancer families with uninformative genetic testing results, as a moderator of monogenic risk, and for population screening programs. Finally, a potential framework for introducing testing for polygenic risk in familial cancer clinics and the potential challenges with implementing this technology in clinical practice are discussed.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideBreast NeoplasmsFemaleGenetic TestingGenome-Wide Association StudyHumansNeoplasm ProteinsRisk AssessmentRisk FactorsNeoplasm ProteinsBreast cancerPolygenic risk scoreRisk prediction

Identifiers

PMID32066492
PMCPMC7026946
OpenAlexW3009998212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.