Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study

BACKGROUND: Previous work on predicting type 2 diabetes by integrating clinical and genetic factors has mostly focused on the Western population. In this study, we use genome-wide polygenic risk score (gPRS) and serum metabolite data for type 2 diabetes risk prediction in the Asian population. METHO...

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Detalles Bibliográficos
Autores principales: Hahn, Seok-Ju, Kim, Suhyeon, Choi, Young Sik, Lee, Junghye, Kang, Jihun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713286/
https://www.ncbi.nlm.nih.gov/pubmed/36462406
http://dx.doi.org/10.1016/j.ebiom.2022.104383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713286/
https://www.ncbi.nlm.nih.gov/pubmed/36462406
http://dx.doi.org/10.1016/j.ebiom.2022.104383

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