Evidence map›Paper›PMID 26846999›Full record

ReviewFuture oncology (London, England)2016

Quantifying the utility of single nucleotide polymorphisms to guide colorectal cancer screening.

Mark A Jenkins, Enes Makalic, James G Dowty, Daniel F Schmidt, Gillian S Dite, Robert J MacInnis, Driss Ait Ouakrim, Mark Clendenning, Louisa B Flander, Oliver K Stanesby and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in Future oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 50 citations in OpenAlex.

  1. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
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  11. Observational
  12. A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  13. Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
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  20. Reimagining the diagnostic pathway for gastrointestinal cancer.Nature reviews. Gastroenterology & hepatology · 2018
    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

13 authors at 2 institutions in 1 country.

Mark A JenkinsCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Enes MakalicCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
James G DowtyCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Daniel F SchmidtCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Gillian S DiteCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Robert J MacInnisCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Driss Ait OuakrimCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Mark ClendenningColorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, School of Medicine, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Louisa B FlanderCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Oliver K StanesbyCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
John L HopperCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Aung K WinCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
Daniel D BuchananCentre for Epidemiology & Biostatistics, Melbourne School of Population & Global Health, The University of Melbourne, Parkville Victoria, VIC 3010, Australia.
University of Melbourne · AUCancer Council Victoria · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine whether single nucleotide polymorphisms (SNPs) can be used to identify people who should be screened for colorectal cancer.

methodsWe simulated one million people with and without colorectal cancer based on published SNP allele frequencies and strengths of colorectal cancer association. We estimated 5-year risks of colorectal cancer by number of risk alleles.

resultsWe identified 45 SNPs with an average 1.14-fold increase colorectal cancer risk per allele (range: 1.05-1.53). The colorectal cancer risk for people in the highest quintile of risk alleles was 1.81-times that for the average person.

conclusionWe have quantified the extent to which known susceptibility SNPs can stratify the population into clinically useful colorectal cancer risk categories.

Indexed as

Early Detection of CancerPolymorphism, Single NucleotideAllelesColorectal NeoplasmsEuropeGene FrequencyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansRiskcancer screeningcolorectal cancerrisk predictionsingle nucleotide polymorphisms

Identifiers

PMID26846999
PMCPMC4976832
OpenAlexW2261966018

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.