Predictive Modeling of Type 1 Diabetes Stages Using Disparate Data Sources

This study aims to model genetic, immunologic, metabolomics, and proteomic biomarkers for development of islet autoimmunity (IA) and progression to type 1 diabetes in a prospective high-risk cohort. We studied 67 children: 42 who developed IA (20 of 42 progressed to diabetes) and 25 control subjects...

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Detalles Bibliográficos
Autores principales: Frohnert, Brigitte I., Webb-Robertson, Bobbie-Jo, Bramer, Lisa M., Reehl, Sara M., Waugh, Kathy, Steck, Andrea K., Norris, Jill M., Rewers, Marian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2020
Materias:
Genetics/Genomes/Proteomics/Metabolomics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971485/
https://www.ncbi.nlm.nih.gov/pubmed/31740441
http://dx.doi.org/10.2337/db18-1263

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6971485/
https://www.ncbi.nlm.nih.gov/pubmed/31740441
http://dx.doi.org/10.2337/db18-1263

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