A network-based analysis of genes related to comorbidities in diabetes

Network medicine helps to shed light insight many chronic diseases by offering useful information about mechanistic information from omic data sets. Type 2 diabetes mellitus (T2DM) is one of the major challenges in medical research. it has been demonstrated that the odds of comorbidities is different considering age and sex of patients. Therefore the use of a framework such as a system and network approach may be useful to shed light into uncertainties related to sex, age effects and comorbidity. We first selected from T2Dico database the list of genes related to comorbidities. Then we first extracted networks of proteins connecting them. In parallel we analysed the pattern of expression of them considering both age and sex as factors, stored into the GTEx database. Preliminary results showed the action of few genes and the biological validation is currently carried out.