ArticleGastroenterology2018
Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors.
Article in Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 6 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.
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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
167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 334 citations in OpenAlex.
- Public Preferences for Genetic and Genomic Risk-Informed Chronic Disease Screening and Early Detection: A Systematic Review of Discrete Choice Experiments.Applied health economics and health policy · 2025Pooled it
- Risk assessment for colorectal cancer via polygenic risk score and lifestyle exposure: a large-scale association study of East Asian and European populations.Genome medicine · 2023Pooled it
- Pooled it
- Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019Pooled it
- Discovery of common and rare genetic risk variants for colorectal cancer.Nature genetics · 2019Pooled it
- Influence of Smoking, Body Mass Index, and Other Factors on the Preventive Effect of Nonsteroidal Anti-Inflammatory Drugs on Colorectal Cancer Risk.Cancer research · 2018Pooled it
- Aspirin and the Risk of Colorectal Cancer According to Genetic Susceptibility among Older Individuals.Cancer prevention research (Philadelphia, Pa.) · 2022Trial
- Colorectal cancer lifetime risk accuracy and behavior change intentions before and after risk assessment.Cancer causes & control : CCC · 2021Trial
- Combining genome-wide polygenic scores with registry data for colorectal cancer risk-based screening.British journal of cancer · 2026Article
- Bridging the Precancerous Gap in Colorectal Cancer Through AI-Enhanced Liquid Biopsy, Endoscopy, and Digital Pathology.Cancers · 2026Review
- Colorectal Cancer Risk Factors in Adults in Nigeria.JAMA network open · 2026Article
- Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026Article
- Interaction of genetic and lifestyle risk scores on colorectal cancer risk across 5 racial and ethnic populations.Journal of the National Cancer Institute · 2026Article
- Effect of a polygenic risk score in patients with late-onset, early-onset, familial, or hereditary colorectal cancer.JNCI cancer spectrum · 2026Article
- MyGeneRisk Colon: A Web-Based Tool for Personalized Colorectal Cancer Risk Prediction Based on Genetics and Lifestyle.medRxiv : the preprint server for health sciences · 2026Article
- Knowledge, Symptom Awareness, and Referral Practices of Primary Care Providers in Early-Onset Colorectal Cancer.Population health management · 2026Article
- Potential Impact of Microbial Dysbiosis and Tryptophan Metabolites in Advanced Stages of Colorectal Cancer.Biomedicines · 2025Article
- Early-onset colorectal cancer as an emerging disease of metabolic dysregulation.Nature reviews. Endocrinology · 2025Review
- Deep Q-Learning for Gastrointestinal Disease Detection and Classification.Bioengineering (Basel, Switzerland) · 2025Article
- Identification of an E2Fs-based gene signature for predicting prognosis and therapeutic response in colorectal cancer.Discover oncology · 2025Article
107 more citing papers are in PubMed but not listed here.
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Authors and funding
40 authors at 20 institutions in 6 countries.
Funding
Abstract
BACKGROUND &
aimsGuidelines for initiating colorectal cancer (CRC) screening are based on family history but do not consider lifestyle, environmental, or genetic risk factors. We developed models to determine risk of CRC, based on lifestyle and environmental factors and genetic variants, and to identify an optimal age to begin screening.
methodsWe collected data from 9748 CRC cases and 10,590 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colorectal Transdisciplinary study, from 1992 through 2005. Half of the participants were used to develop the risk determination model and the other half were used to evaluate the discriminatory accuracy (validation set). Models of CRC risk were created based on family history, 19 lifestyle and environmental factors (E-score), and 63 CRC-associated single-nucleotide polymorphisms identified in genome-wide association studies (G-score). We evaluated the discriminatory accuracy of the models by calculating area under the receiver operating characteristic curve values, adjusting for study, age, and endoscopy history for the validation set. We used the models to project the 10-year absolute risk of CRC for a given risk profile and recommend ages to begin screening in comparison to CRC risk for an average individual at 50 years of age, using external population incidence rates for non-Hispanic whites from the Surveillance, Epidemiology, and End Results program registry.
resultsIn our models, E-score and G-score each determined risk of CRC with greater accuracy than family history. A model that combined both scores and family history estimated CRC risk with an area under the receiver operating characteristic curve value of 0.63 (95% confidence interval, 0.62-0.64) for men and 0.62 (95% confidence interval, 0.61-0.63) for women; area under the receiver operating characteristic curve values based on only family history ranged from 0.53 to 0.54 and those based only E-score or G-score ranged from 0.59 to 0.60. Although screening is recommended to begin at age 50 years for individuals with no family history of CRC, starting ages calculated based on combined E-score and G-score differed by 12 years for men and 14 for women, for individuals with the highest vs the lowest 10% of risk.
conclusionsWe used data from 2 large international consortia to develop CRC risk calculation models that included genetic and environmental factors along with family history. These determine risk of CRC and starting ages for screening with greater accuracy than the family history only model, which is based on the current screening guideline. These scoring systems might serve as a first step toward developing individualized CRC prevention strategies.
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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.