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Predictive utilities of lipid traits, lipoprotein subfractions and other risk factors for incident diabetes: a machine learning approach in the Diabetes Prevention Program.
Varga TV, Liu J, Goldberg RB, Chen G, Dagogo-Jack S, Lorenzo C, Mather KJ, Pi-Sunyer X, Brunak S, Temprosa M; Diabetes Prevention Program Research Group. Varga TV, et al. Among authors: liu j. BMJ Open Diabetes Res Care. 2021 Mar;9(1):e001953. doi: 10.1136/bmjdrc-2020-001953. BMJ Open Diabetes Res Care. 2021. PMID: 33789908 Free PMC article. Clinical Trial.
Metabolite Profiles of Incident Diabetes and Heterogeneity of Treatment Effect in the Diabetes Prevention Program.
Chen ZZ, Liu J, Morningstar J, Heckman-Stoddard BM, Lee CG, Dagogo-Jack S, Ferguson JF, Hamman RF, Knowler WC, Mather KJ, Perreault L, Florez JC, Wang TJ, Clish C, Temprosa M, Gerszten RE; Diabetes Prevention Program Research Group. Chen ZZ, et al. Among authors: liu j. Diabetes. 2019 Dec;68(12):2337-2349. doi: 10.2337/db19-0236. Epub 2019 Oct 3. Diabetes. 2019. PMID: 31582408 Free PMC article. Clinical Trial.
Per- and polyfluoroalkyl substance plasma concentrations and metabolomic markers of type 2 diabetes in the Diabetes Prevention Program trial.
Mitro SD, Liu J, Jaacks LM, Fleisch AF, Williams PL, Knowler WC, Laferrère B, Perng W, Bray GA, Wallia A, Hivert MF, Oken E, James-Todd TM, Temprosa M. Mitro SD, et al. Among authors: liu j. Int J Hyg Environ Health. 2021 Mar;232:113680. doi: 10.1016/j.ijheh.2020.113680. Epub 2020 Dec 18. Int J Hyg Environ Health. 2021. PMID: 33348273 Free PMC article.
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