ArticleGenome medicine2024
Developing an optimal stratification model for colorectal cancer screening and reducing racial disparities in multi-center population-based studies.
Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cross-cohort analysis identifies shared gut microbial signatures and validates microbial risk scores for colorectal cancer.Journal of translational medicine · 2025Pooled it
- Integrating Genetics With Epidemiological Measurements Identifies Burden QTLs of Inflammatory Bowel Disease across 20 Countries.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Article
- TGF-β Pathway-Based Polygenic Risk Score Modifies the Association between Red Meat Intake and Colorectal Cancer Risk: Application of a Novel Pathway-Based PRS Method.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Optimizing colorectal cancer screening through polygenic risk score-based risk stratification: evidence from a population-based cohort and screening trial.Genome medicine · 2026Article
- Burden and forecast of colorectal cancer in the selected East Asian countries (1990-2036): a systematic analysis based on the global burden of disease study 2021.Annals of medicine · 2025Article
- Multi-omics based consensus subtypes, development of prognostic signature, and identification of INHBB as a potential therapeutic target in colorectal cancer.Functional & integrative genomics · 2025Article
- Plant Terpenoids in Combination with Conventional Therapeutics in Colorectal Cancer: A Promising Option.Current oncology reports · 2025Review
- Red meat intake interacts with a TGF-β-pathway-based polygenic risk score to impact colorectal cancer risk: Application of a novel approach for polygenic risk score construction.medRxiv : the preprint server for health sciences · 2025Article
- Lessons from national biobank projects utilizing whole-genome sequencing for population-scale genomics.Genomics & informatics · 2025Review
- Utilization of molecular genetic approaches for colorectal cancer screening.World journal of gastroenterology · 2024Article
- The Genetic Variants Influencing Hypertension Prevalence Based on the Risk of Insulin Resistance as Assessed Using the Metabolic Score for Insulin Resistance (METS-IR).International journal of molecular sciences · 2024Article
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22 authors.
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Abstract
backgroundEarly detection of colorectal neoplasms can reduce the colorectal cancer (CRC) burden by timely intervention for high-risk individuals. However, effective risk prediction models are lacking for personalized CRC early screening in East Asian (EAS) population. We aimed to develop, validate, and optimize a comprehensive risk prediction model across all stages of the dynamic adenoma-carcinoma sequence in EAS population.
methodsTo develop precision risk-stratification and intervention strategies, we developed three trans-ancestry PRSs targeting colorectal neoplasms: (1) using 148 previously identified CRC risk loci (PRS
resultsThree trans-ancestry PRSs achieved moderately improved predictive performance in EAS compared to EUR populations. Remarkably, the PRSs effectively facilitated a thorough risk assessment across all stages of the dynamic adenoma-carcinoma sequence. Among these models, PRS
conclusionsOur comprehensive risk-stratified model in population-based CRC screening trials represents a promising advancement in personalized risk assessment, facilitating tailored CRC screening in the EAS population. This approach enhances the transferability of PRSs across ancestries and thereby helps address health disparity.
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