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A global overview of precision medicine in type 2 diabetes

Fitipaldi, Hugo LU ; McCarthy, Mark I. ; Florez, Jose C. and Franks, Paul W. LU (2018) In Diabetes 67(10). p.1911-1922
Abstract

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 structureswithin 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... (More)

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 structureswithin 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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Diabetes
volume
67
issue
10
pages
12 pages
publisher
American Diabetes Association Inc.
external identifiers
  • scopus:85054306365
  • pmid:30237159
ISSN
0012-1797
DOI
10.2337/dbi17-0045
language
English
LU publication?
yes
id
45b67784-e42b-4801-b2ea-b4036cb90805
date added to LUP
2018-11-13 12:45:19
date last changed
2020-01-22 07:18:49
@article{45b67784-e42b-4801-b2ea-b4036cb90805,
  abstract     = {<p>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 structureswithin 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.</p>},
  author       = {Fitipaldi, Hugo and McCarthy, Mark I. and Florez, Jose C. and Franks, Paul W.},
  issn         = {0012-1797},
  language     = {eng},
  number       = {10},
  pages        = {1911--1922},
  publisher    = {American Diabetes Association Inc.},
  series       = {Diabetes},
  title        = {A global overview of precision medicine in type 2 diabetes},
  url          = {http://dx.doi.org/10.2337/dbi17-0045},
  doi          = {10.2337/dbi17-0045},
  volume       = {67},
  year         = {2018},
}