Multiple polygenic score approach in colorectal cancer risk prediction.

doi:10.1038/s41598-025-21956-w

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Article

Multiple polygenic score approach in colorectal cancer risk prediction.

Scientific reports - 30 Oct 2025

Jiang Shangqing Joyce, Thomas Minta, Rosenthal Elisabeth A, Phipps Amanda I, Sakoda Lori C, van Duijnhoven Franzel J B, Pellatt Andrew J, Avery Christy L, Berndt Sonja I, Bishop D Timothy, Castellví-Bel Sergi, Chan Andrew T, Grant Robert C, Gignoux Chris, Gsur Andrea, Gunter Marc J, Haiman Christopher A, Hoffmeister Michael, Jarvik Gail P, Jenkins Mark A, Keku Temitope O, Küry Sébastien, Lee Jeffrey K, Marchand Loic Le, Moreno Victor, Newcomb Polly A, Newton Christina C, Ogino Shuji, Palmer Julie R, Pearlman Rachel, Qu Conghui, Schoen Robert E, Um Caroline Y, Van Guelpen Bethany, Visvanathan Kala, Vymetalkova Veronika, White Emily, Woods Michael O, Platz Elizabeth A, Brenner Hermann, Corley Douglas A, Vogelaar Iris Landorp, Hsu Li, Peters Ulrike

Abstract excerpt

Recent studies have demonstrated that for various diseases, incorporating polygenic risk scores (PRSs) for other traits and diseases into the PRS-based risk prediction model may improve predictive performance - known as Multiple Polygenic Score (MPS) approach. We aimed to examine whether the MPS approach improves colorectal cancer (CRC) risk prediction. We included 2,187 non-CRC PRSs from the polygenic Score...

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PMID: 41168411
DOI: 10.1038/s41598-025-21956-w
PMCID: PMC12575652

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