Endocrine Abstracts

In recent years technological and analytical advances have led to an explosion in the discovery of genetic loci associated with type 2 diabetes. However, their ability to improve prediction of disease outcomes beyond standard clinical risk factors has been limited. On the other hand, genetic effects on drug response may be stronger than those commonly seen for disease incidence. Pharmacogenetic findings may help to uncover new drug targets, illuminate pathophysiology, clarify ...

Diabetes is presently classified into two main forms, type 1 (T1D) and type 2 diabetes (T2D), but especially T2D is highly heterogeneous. A refined classification could represent an important step towards precision medicine in diabetes. We have carried out a data-driven cluster analysis in 15,000 ‘T2D-patients’ aged 18 years or older from four different cohorts in Sweden and Finland using six variables (age at diagnosis, GAD-antibodies, BMI, HbA1c, HOMA2-B and HOMA2-...

Background: Obesity, resulting from complex interactions between genetic and non-genetic factors, is one the most pressing health challenges in our society. Current treatments for losing weight based mainly on diet and exercise are mostly unsuccessful in the long term. Therefore, as an alternative to the current strategy of one-size-fits-all, a more individualized approach is proposed in which genotype data are used to personalize treatment and to optimize the results.<p c...