Linking glycemic dysregulation in diabetes to symptoms, comorbidities, and genetics through EHR data mining

Diabetes is a diverse and complex disease, with considerable variation in phenotypic manifestation and severity. This variation hampers the study of etiological differences and reduces the statistical power of analyses of associations to genetics, treatment outcomes, and complications. We address th...

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Detalles Bibliográficos
Autores principales: Kirk, Isa Kristina, Simon, Christian, Banasik, Karina, Holm, Peter Christoffer, Haue, Amalie Dahl, Jensen, Peter Bjødstrup, Juhl Jensen, Lars, Rodríguez, Cristina Leal, Pedersen, Mette Krogh, Eriksson, Robert, Andersen, Henrik Ullits, Almdal, Thomas, Bork-Jensen, Jette, Grarup, Niels, Borch-Johnsen, Knut, Pedersen, Oluf, Pociot, Flemming, Hansen, Torben, Bergholdt, Regine, Rossing, Peter, Brunak, Søren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904221/
https://www.ncbi.nlm.nih.gov/pubmed/31818369
http://dx.doi.org/10.7554/eLife.44941

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904221/
https://www.ncbi.nlm.nih.gov/pubmed/31818369
http://dx.doi.org/10.7554/eLife.44941

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