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SAT-LB111 Improving Classification of Diabetes Etiology in Electronic Resources Using Phenotype Algorithms and Polygenic Risk Scores

Electronic Health Records (EHR) contain rich data to identify and study diabetes. Many phenotype algorithms have been developed to identify research subjects with type 2 diabetes (T2D), but very few accurately identify type 1 diabetes (T1D) cases or more rare forms of monogenic and atypical metaboli...

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Detalles Bibliográficos
Autores principales:	Sulieman, Lina, He, Jing, Carroll, Robert, Bastarache, Lisa, Ramirez, Andrea
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2020
Materias:	Diabetes Mellitus and Glucose Metabolism
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7209076/ http://dx.doi.org/10.1210/jendso/bvaa046.2239

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