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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2019
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Materias: | |
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 |
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