A global overview of precision medicine in type 2 diabetes
(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
- Fitipaldi, Hugo LU ; McCarthy, Mark I. ; Florez, Jose C. and Franks, Paul W. LU
- organization
- publishing date
- 2018
- 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
- 2024-06-10 22:11:01
@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}},
}