- The aim of this article was to share with a wide readership some data and related reasoning about a multigenerational form of diabetes mellitus of adulthood.
- A wide range of studies both in humans and animal models point GALNT2 as a shaper of serum HDL-C and TG levels. Available data in humans indicate that, while under conditions of extreme GALNT2 loss-of-function HDL-C is the main target, a fine-tuning of GALNT2 changes is mostly associated with TG levels. Understanding whether different degrees of GALNT2 change do modulate different serum lipid fractions and, if so, addressing the mechanisms underlying such pleiotropic effects has the potential not only to improve our understanding of HDL-C and TG metabolism, but also to make GALNT2 becoming a target for treating atherogenic dyslipidemia and related clinical events.
- We are currently facing several attempts aimed at marketing genetic data for predicting multifactorial diseases, among which diabetes mellitus is one of the more prevalent. The present document primarily aims at providing to practicing physicians a summary of available data regarding the role of genetic information in predicting diabetes and its chronic complications.
- Genome-wide association studies (GWAS) have identified several loci associated with many common, multifactorial diseases which have been recently used to market genetic testing directly to the consumers. We here addressed the clinical utility of such GWAS-derived genetic information in predicting type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) in diabetic patients. In addition, the development of new statistical approaches, novel technologies of genome sequencing and ethical, legal and social aspects related to genetic testing have been also addressed.