
pmid: 25825086
The rising global prevalence of diabetes mellitus is accompanied by an increasing burden of morbidity and mortality that is attributable to the complications of chronic hyperglycaemia. These complications include blindness, renal failure and cardiovascular disease. Current therapeutic options for chronic hyperglycaemia reduce, but do not eradicate, the risk of these complications. Success in defining new preventative and therapeutic strategies hinges on an improved understanding of the molecular processes involved in the development of these complications. This Review explores the role of human genetics in delivering such insights, and describes progress in characterizing the sequence variants that influence individual predisposition to diabetic kidney disease, retinopathy, neuropathy and accelerated cardiovascular disease. Numerous risk variants for microvascular complications of diabetes have been reported, but very few have shown robust replication. Furthermore, only limited evidence exists of a difference in the repertoire of risk variants influencing macrovascular disease between those with and those without diabetes. Here, we outline the challenges associated with the genetic analysis of diabetic complications and highlight ongoing efforts to deliver biological insights that can drive translational benefits.
Epigenomics, Diabetic Retinopathy, Coronary Artery Disease, Diabetes Complications, Peripheral Arterial Disease, Diabetes Mellitus, Type 2, Diabetic Neuropathies, Animals, Humans, Kidney Failure, Chronic, Diabetic Nephropathies, Genetic Predisposition to Disease, Diabetic Angiopathies, Genetic Association Studies
Epigenomics, Diabetic Retinopathy, Coronary Artery Disease, Diabetes Complications, Peripheral Arterial Disease, Diabetes Mellitus, Type 2, Diabetic Neuropathies, Animals, Humans, Kidney Failure, Chronic, Diabetic Nephropathies, Genetic Predisposition to Disease, Diabetic Angiopathies, Genetic Association Studies
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 134 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
