Evidence map›Paper›PMID 37580114›Full record

ArticleJournal of medical genetics2024

Integrating a Polygenic Risk Score into a clinical setting would impact risk predictions in familial breast cancer.

Panagiotis Baliakas, Arielle R Munters, Anders Kämpe, Bianca Tesi, Marie-Louise Bondeson, Claes Ladenvall, Daniel Eriksson

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical genetics, 2024. 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
3.8field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Panagiotis BaliakasDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Arielle R MuntersDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Anders KämpeDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Bianca TesiDepartment of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.
Marie-Louise BondesonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Claes LadenvallDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Daniel ErikssonDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden daniel.eriksson@igp.uu.se.ORCID 0000-0001-5473-3312
Uppsala University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow-impact genetic variants identified in population-based genetic studies are not routinely measured as part of clinical genetic testing in familial breast cancer (BC). We studied the consequences of integrating an established Polygenic Risk Score (PRS) (BCAC 313, PRS

methodsWe developed an add-on sequencing panel to capture 313 risk variants in addition to the clinical screening of hereditary BC genes. Index patients with no pathogenic variant from 87 families, and 1000 population controls, were included in comparative PRS calculations. Including detailed family history, sequencing results and tumour pathology information, we used BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) V.6 to estimate contralateral and lifetime risks

resultsWomen with BC but no pathogenic variants in hereditary BC genes have a higher PRS

conclusionsOur results show the potential impact of incorporating PRS

Indexed as

Breast NeoplasmsFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenetic TestingHumansRisk FactorsGenetics, Medical

Identifiers

PMID37580114
PMCPMC10850617
OpenAlexW4385802436

What OpenQuestion holds

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Registered trials

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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.