SynthesisCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019
Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.
Synthesis in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.
What it found
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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.
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.
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Who cites it
29 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- At what age should people with obesity start colorectal cancer screening?International journal of cancer · 2026Pooled it
- AGA Clinical Practice Update on Risk Stratification for Colorectal Cancer Screening and Post-Polypectomy Surveillance: Expert Review.Gastroenterology · 2023Guideline
- Pooled it
- Validation of a Colorectal Cancer Risk Prediction Model in US Black Women.Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Multiple polygenic score approach in colorectal cancer risk prediction.Scientific reports · 2025Article
- A prediction model for metachronous colorectal cancer: development and validation.Journal of the National Cancer Institute · 2025Article
- Evaluating the Use of Environmental and Polygenic Risk Scores to Inform Colorectal Cancer Risk-Based Surveillance Intervals.Clinical and translational gastroenterology · 2024Article
- External validation of the colorectal cancer risk score LiFeCRC using food frequency questions in the HUNT study.International journal of colorectal disease · 2024Article
- Colorectal Cancer Polygenic Risk Score Is Associated With Screening Colonoscopy Findings but Not Follow-Up Outcomes.Gastro hep advances · 2024Article
- Lifestyle predictors of colorectal cancer in European populations: a systematic review.BMJ nutrition, prevention & health · 2024Article
- Assessments of dietary intake and polygenic risk score in associations with colorectal cancer risk: evidence from the UK Biobank.BMC cancer · 2023Article
- Genetic Variants in the Mitochondrial Thymidylate Biosynthesis Pathway Increase Colorectal Cancer Risk.Current oncology (Toronto, Ont.) · 2023Article
- Public Preferences for Determining Eligibility for Screening in Risk-Stratified Cancer Screening Programs: A Discrete Choice Experiment.Medical decision making : an international journal of the Society for Medical Decision Making · 2023Article
- Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence.BMC medical genomics · 2023Article
- Machine Learning in Colorectal Cancer Risk Prediction from Routinely Collected Data: A Review.Diagnostics (Basel, Switzerland) · 2023Review
- On the determinants and the role of the payers in the uptake of genetic testing and data sharing in personalized health.Frontiers in public health · 2023Article
- Article
- External validation of models for predicting risk of colorectal cancer using the China Kadoorie Biobank.BMC medicine · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 3 countries.
Funding
Abstract
Colorectal cancer screening reduces colorectal cancer incidence and mortality. Risk models based on phenotypic variables have relatively good discrimination in external validation and may improve efficiency of screening. Models incorporating genetic variables may perform better. In this review, we updated our previous review by searching Medline and EMBASE from the end date of that review (January 2014) to February 2019 to identify models incorporating at least one SNP and applicable to asymptomatic individuals in the general population. We identified 23 new models, giving a total of 29. Of those in which the SNP selection was on the basis of published genome-wide association studies, in external or split-sample validation the AUROC was 0.56 to 0.57 for models that included SNPs alone, 0.61 to 0.63 for SNPs in combination with other risk factors, and 0.56 to 0.70 when age was included. Calibration was only reported for four. The addition of SNPs to other risk factors increases discrimination by 0.01 to 0.06. Public health modeling studies suggest that, if determined by risk models, the range of starting ages for screening would be several years greater than using family history alone. Further validation and calibration studies are needed alongside modeling studies to assess the population-level impact of introducing genetic risk-based screening programs.
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Registered trials
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.