A Global Overview of Precision Medicine in Type 2 Diabetes

被引:77
作者
Fitipaldi, Hugo [1 ]
McCarthy, Mark I. [2 ,3 ]
Florez, Jose C. [4 ,5 ,6 ,7 ,8 ]
Franks, Paul W. [1 ,2 ,9 ,10 ]
机构
[1] Lund Univ, Genet & Mol Epidemiol Unit, Dept Clin Sci Malmo, Diabet Ctr,Skane Univ Hosp, Malmo, Sweden
[2] Univ Oxford, Oxford Ctr Diabet Endocrinol & Metab, Oxford, England
[3] Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England
[4] Massachusetts Gen Hosp, Diabet Unit, Boston, MA 02114 USA
[5] Massachusetts Gen Hosp, Ctr Genom Med, Boston, MA 02114 USA
[6] Broad Inst, Program Metab, Cambridge, MA USA
[7] Broad Inst, Program Med & Populat Genet, Cambridge, MA USA
[8] Harvard Med Sch, Dept Med, Boston, MA USA
[9] Harvard TH Chan Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA
[10] Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden
基金
英国惠康基金; 美国国家卫生研究院; 瑞典研究理事会;
关键词
LIFE-STYLE; PERSONALIZED NUTRITION; TARGET IDENTIFICATION; ENERGY-INTAKE; WEIGHT-LOSS; FOLLOW-UP; ASSOCIATION; PREVENTION; PROGRAM; INSULIN;
D O I
10.2337/dbi17-0045
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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.
引用
收藏
页码:1911 / 1922
页数:12
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