表观遗传学
混淆
2型糖尿病
DNA甲基化
医学
小RNA
疾病
计算生物学
生物信息学
生物标志物
基因
肥胖
遗传学
糖尿病
生物
基因表达
内科学
内分泌学
作者
Thomas M. O’Connell,Christina A. Markunas
出处
期刊:Current Diabetes Reviews
[Bentham Science]
日期:2015-09-11
卷期号:12 (1): 20-29
被引量:16
标识
DOI:10.2174/1573399811666150515125557
摘要
The rapidly increasing prevalence of type 2 diabetes (T2D) is motivating an intensive search for biomarkers to identify individuals at risk for developing the disease. It has been established that both genetic and environmental factors are influential in the progression to T2D. Currently, the number of genetic loci implicated in T2D susceptibility is more than 65 and together, these factors explain only about 10% of the risk. At this time, prediction models using genetic information do not perform substantially better than models based on routine clinical measures. The search for new biomarkers must integrate new, independent factors beyond the static genome that are influenced by environmental conditions. This search must also recognize the heterogeneity of T2D and seek new biomarkers of potential subtypes and confounding conditions such as obesity. Modulation of gene expression by epigenetic modifications and the action of microRNAs are being recognized as critical processes affecting T2D risk. This review provides an update on the current state of genetic biomarkers of T2D susceptibility and examines how epigenetic modulation of some new and established diabetes susceptibility genes can identify increased risk and provide biomarkers for early detection and therapeutic monitoring.
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