Influence and role of polygenic risk score in the development of 32 complex diseases

Bibliographic Data

ID21213893
AuthorsYuxin Liu (0000-0001-9753-2617, Xuzhou Medical College), Wenyan Hou (Xuzhou Medical College), Tongyu Gao (Xuzhou Medical College), Yu Yan (0009-0009-6373-2368, Xuzhou Medical College), Ting Wang (0000-0003-3792-1260, Xuzhou Medical College), Zheng Chu (0000-0003-2056-7402, Xuzhou Medical College), Chu Zheng (0000-0003-3309-208X, Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China), Peng Zeng (0000-0003-2710-3440, Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China), Ping Zeng (0009-0002-2475-0159, Xuzhou Medical College)
Year2025
Volume15
Pages04071-04071
Publication date2025-03-10
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Society of Global Health (PUBLISHER • GB)
DOI10.7189/jogh.15.04071
PMID40063714
OpenAlexW4408280103
LanguageEN
References cited78

Background: The polygenic risk score (PRS) has been perceived as advantageous in predicting the risk of complex diseases compared to other measures. We aimed to systematically evaluate the influence of PRS on disease outcome and to explore its predictive value. Methods: We comprehensively assessed the relationship between PRS and 32 complex diseases in the UK Biobank. We used Cox models to estimate the effects of PRS on the incidence risk. Then, we constructed prediction models to assess the clinical utility of PRS in risk prediction. For 16 diseases, we further compared the disease risk and prediction capability of PRS across early and late-onset cases. Results: ). Conclusions: As a valuable complement to traditional clinical risk tools, PRS is closely related to disease risk and can further enhance prediction accuracy, especially for early-onset cases, underscoring its potential role in targeted prevention for high-risk groups

Bioinformatics · Biology · Computational biology · Gene · Genotype · Polygenic risk score · Single-nucleotide polymorphism · Adipokines, Inflammation, and Metabolic Diseases · Cardiovascular Disease and Adiposity · Genetic Associations and Epidemiology · Medicine · Genetics

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