Evidence map›Paper›PMID 36872334›Full record

ArticleBMC medical genomics2023

Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence.

Emadeldin Hassanin, Isabel Spier, Dheeraj R Bobbili, Rana Aldisi, Hannah Klinkhammer, Friederike David, Nuria Dueñas, Robert Hüneburg, Claudia Perne, Joan Brunet and 8 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
7.1field-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

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  3. An introduction to polygenic scores - methodological basics and recent advances.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  4. Article
  5. Polygenic scores as modifiers in Mendelian diseases.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
    Article
  6. Article
  7. Article
  8. Interactions with polygenic background impact quantitative traits in the UK Biobank.medRxiv : the preprint server for health sciences · 2025
    Article
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  11. Review
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  16. Gastrointestinal Cancer Precursor Conditions and Their Detection.Hematology/oncology clinics of North America · 2024
    Review
  17. Review
  18. Article
  19. Article
  20. 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

18 authors at 5 institutions in 5 countries.

Emadeldin Hassanin *Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
Isabel Spier *Institute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Dheeraj R BobbiliLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
Rana AldisiInstitute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
Hannah KlinkhammerInstitute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
Friederike DavidInstitute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Nuria DueñasHereditary Cancer Program, Catalan Institute of Oncology-IDIBELL, ONCOBELL, Hospitalet de Llobregat, Barcelona, Spain.
Robert HüneburgNational Center for Hereditary Tumor Syndromes, University Hospital Bonn, Bonn, Germany.
Claudia PerneInstitute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Joan BrunetEuropean Reference Network on Genetic Tumour Rsik Syndromes (ERNGENTURIS) - Project ID No 739547, Nijmegen, The Netherlands.
Gabriel CapellaEuropean Reference Network on Genetic Tumour Rsik Syndromes (ERNGENTURIS) - Project ID No 739547, Nijmegen, The Netherlands.
Markus M NöthenInstitute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Andreas J ForstnerInstitute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Andreas MayrMedical Faculty, Institute for Medical Biometry, Informatics and Epidemiology, University Bonn, Bonn, Germany.
Peter KrawitzInstitute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
Patrick MayLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Sur-Alzette, Luxembourg.
Stefan Aretz *Institute of Human Genetics, Medical Faculty, University of Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. Stefan.Aretz@uni-bonn.de.ORCID 0000-0002-5228-1890
Carlo Maj *Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Bonn, Germany.
University of Bonn · DEUniversity Hospital Bonn · DEInstitut d'Investigació Biomédica de Bellvitge · ESUniversity of Luxembourg · LUInstitut für Medizinische Biometrie, Informatik und Epidemiologie · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsSummarised in polygenic risk scores (PRS), the effect of common, low penetrant genetic variants associated with colorectal cancer (CRC), can be used for risk stratification.

methodsTo assess the combined impact of the PRS and other main factors on CRC risk, 163,516 individuals from the UK Biobank were stratified as follows: 1. carriers status for germline pathogenic variants (PV) in CRC susceptibility genes (APC, MLH1, MSH2, MSH6, PMS2), 2. low (< 20%), intermediate (20-80%), or high PRS (> 80%), and 3. family history (FH) of CRC. Multivariable logistic regression and Cox proportional hazards models were applied to compare odds ratios and to compute the lifetime incidence, respectively.

resultsDepending on the PRS, the CRC lifetime incidence for non-carriers ranges between 6 and 22%, compared to 40% and 74% for carriers. A suspicious FH is associated with a further increase of the cumulative incidence reaching 26% for non-carriers and 98% for carriers. In non-carriers without FH, but high PRS, the CRC risk is doubled, whereas a low PRS even in the context of a FH results in a decreased risk. The full model including PRS, carrier status, and FH improved the area under the curve in risk prediction (0.704).

conclusionThe findings demonstrate that CRC risks are strongly influenced by the PRS for both a sporadic and monogenic background. FH, PV, and common variants complementary contribute to CRC risk. The implementation of PRS in routine care will likely improve personalized risk stratification, which will in turn guide tailored preventive surveillance strategies in high, intermediate, and low risk groups.

Indexed as

Colorectal NeoplasmsGerm-Line MutationGerm CellsHumansIncidenceRisk FactorsColorectal cancerFamily historyHereditary cancerPolygenic riskRisk stratification

Identifiers

PMID36872334
PMCPMC9987090
OpenAlexW4323275420

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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.