Language
English
Publication Date
1-1-2025
Journal
Pacific Symposium on Biocomputing (PSB)
DOI
10.1142/9789819807024_0037
PMID
39670393
PMCID
PMC11649021
PubMedCentral® Posted Date
1-1-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Inflammatory bowel disease (IBD), encompassing Crohn's disease (CD) and ulcerative colitis (UC), has a significant genetic component and is increasingly prevalent due to environmental factors. Current polygenic risk scores (PRS) have limited predictive power and cannot inform time of symptom onset. Circulating proteomics profiling offers a novel, non-invasive approach for understanding the inflammatory state of complex diseases, enabling the creation of proteomic risk scores (ProRS). This study utilizes data from 51,772 individuals in the UK Biobank to evaluate the unique and combined contributions of PRS and ProRS to IBD risk prediction. We developed ProRS models for CD and UC, assessed their predictive performance over time, and examined the benefits of integrating PRS and ProRS for enhanced risk stratification. Our findings are the first to demonstrate that combining genetic and proteomic data improves IBD incidence prediction, with ProRS providing time-sensitive predictions and PRS offering additional long-term predictive value. We also show that the ProRS achieves better predictive performance among individuals with high PRS. This integrated approach highlights the potential for multi-omic data in precision medicine for IBD.
Keywords
Humans, Crohn Disease, Proteomics, Colitis, Ulcerative, Multifactorial Inheritance, Computational Biology, Genetic Predisposition to Disease, Blood Proteins, Risk Assessment, Male, Female, Inflammatory Bowel Diseases, Risk Factors, United Kingdom, Polymorphism, Single Nucleotide, Middle Aged, Genetic Risk Score, plasma proteomics, polygenic risk score, autoimmunity, multi-omics, inflammatory bowel disease
Published Open-Access
yes
Recommended Citation
Woerner, Jakob; Westbrook, Thomas; Jeong, Seokho; et al., "Plasma Protein-Based and Polygenic Risk Scores Serve Complementary Roles in Predicting Inflammatory Bowel Disease" (2025). Faculty, Staff and Students Publications. 8309.
https://digitalcommons.library.tmc.edu/baylor_docs/8309