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A Global Overview of Precision Medicine in Type 2 Diabetes
Umeå University, Faculty of Medicine, Department of Public Health and Clinical Medicine, Medicine. Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Skåne University Hospital, Malmö, Sweden; Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
2018 (English)In: Diabetes, ISSN 0012-1797, E-ISSN 1939-327X, Vol. 67, no 10, p. 1911-1922Article in journal (Refereed) Published
Abstract [en]

The detailed characterization of human biology and behaviors is now possible at scale owing to innovations in biomarkers, bioimaging, and wearable technologies; "big data" from electronic medical records, health insurance databases, and other platforms becoming increasingly accessible; and rapidly evolving computational power and bioinformatics methods. Collectively, these advances are creating unprecedented opportunities to better understand diabetes and many other complex traits. Identifying hidden structures within these complex data sets and linking these structures to outcome data may yield unique insights into the risk factors and natural history of diabetes, which in turn may help optimize the prevention and management of the disease. This emerging area is broadly termed "precision medicine." In this Perspective, we give an overview of the evidence and barriers to the development and implementation of precision medicine in type 2 diabetes. We also discuss recently presented paradigms through which complex data might enhance our understanding of diabetes and ultimately our ability to tackle the disease more effectively than ever before.

Place, publisher, year, edition, pages
American Diabetes Association , 2018. Vol. 67, no 10, p. 1911-1922
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:umu:diva-152383DOI: 10.2337/dbi17-0045ISI: 000445059100001PubMedID: 30237159OAI: oai:DiVA.org:umu-152383DiVA, id: diva2:1254128
Funder
Swedish Research CouncilSwedish Heart Lung FoundationSwedish Foundation for Strategic Research Available from: 2018-10-08 Created: 2018-10-08 Last updated: 2018-10-08Bibliographically approved

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Franks, Paul W.

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CiteExportLink to record
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