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Genetics of type 2 diabetes in European populations.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Qi, Qibin Hu, Frank B.
Spatial Coverage	China
Description	Country affiliation: United States Author Affiliation: Qi Q ( Department of Nutrition Epidemiology, Harvard School of Public Health, Boston, MA, USA.)
Abstract	Type 2 diabetes (T2D) has become a leading health problem throughout the world. It is caused by environmental and genetic factors, as well as interactions between the two. However, until very recently, the T2D susceptibility genes have been poorly understood. During the past 5 years, with the advent of genome-wide association studies (GWAS), a total of 58 T2D susceptibility loci have been associated with T2D risk at a genome-wide significance level (P < 5 × 10(-8) ), with evidence showing that most of these genetic variants influence pancreatic ß-cell function. Most novel T2D susceptibility loci were identified through GWAS in European populations and later confirmed in other ethnic groups. Although the recent discovery of novel T2D susceptibility loci has contributed substantially to our understanding of the pathophysiology of the disease, the clinical utility of these loci in disease prediction and prognosis is limited. More studies using multi-ethnic meta-analysis, gene-environment interaction analysis, sequencing analysis, epigenetic analysis, and functional experiments are needed to identify new susceptibility T2D loci and causal variants, and to establish biological mechanisms.
File Format	HTM / HTML
ISSN	17530393
e-ISSN	17530407
DOI	10.1111/j.1753-0407.2012.00224.x
Journal	Journal of Diabetes
Issue Number	3
Volume Number	4
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2012-09-01
Publisher Place	Australia
Access Restriction	Open
Subject Keyword	Discipline Endocrinology Diabetes Mellitus, Type 2 Genetics European Continental Ancestry Group Genetic Predisposition To Disease Genome-wide Association Study Asian Continental Ancestry Group Ethnology Pathology Gene-environment Interaction Prognosis Research Support, N.i.h., Extramural
Content Type	Text
Resource Type	Article
Subject	Endocrinology, Diabetes and Metabolism

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