ArticleJCO precision oncology2025
Polygenic Score Complements Family History and Lynch Syndrome Genes for Predicting Colorectal Cancer Risk.
Article in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Lynch Syndrome: An Update of Underlying Molecular Mechanisms, Phenotypes and Methods to Classify Variants of Uncertain Significance.Biomedicines · 2026Review
- Effect of a polygenic risk score in patients with late-onset, early-onset, familial, or hereditary colorectal cancer.JNCI cancer spectrum · 2026Article
- Lynch Syndrome as a Spectrum of Four Distinct Genetic Disorders: Toward Genotype-Guided Precision Management in the NGS Era.Cancers · 2026Review
- Genetic Insights into Interleukin-13 Polymorphisms in Colorectal Cancer Risk and Progression.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeFamily history (FH) and pathogenic variants (PVs) in Lynch syndrome (LS) genes are established risk factors of colorectal cancer (CRC). This study evaluates whether newly published polygenic scores (PGSs) improve CRC prediction of known risk factors.
methodsThe associations of CRC risk with FH, PVs in LS genes (
resultsIn UKB, 18.99%, 11.43%, and 0.42% of participants were positive for PGS, FH, and PVs, respectively, with corresponding PAR% of 29.97%, 6.27%, and 1.25%. In multivariable analysis adjusting for age, sex, and genetic background, each genetic factor independently predicted CRC risk (
conclusionPGS complements FH and PVs of LS genes in predicting CRC risk and improves prediction performance beyond traditional genetic factors across diverse populations.
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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 Socratic graph.