ISSN 0975-3583

Journal of Cardiovascular Disease Research

    Bioinformatics Analysis of Gestational Diabetes Mellitus using Functional Protein Sequences

    JCDR. 2010: 222-226


    Gestational diabetes mellitus [GDM] is a transient asymptomatic disorder in which glucose intolerance of variable severity with onset or first recognition during pregnancy. GDM is emerging as reliable risk predictor for the development of type II diabetes. GDM has also been associated with many adverse perinatal pediatric complications. It is crucial to pinpoint the key susceptible gene that is of great importance in the pathophysiology of gestational diabetes. In this regard, We evaluated the role of several genes/proteins that are believed to be involved in the evolution of Gestational diabetes by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor- Joining Algorithm in bioinformatics approach. Our bioiformatis anlysis yielded Glucokinase[MODY 2] gene as a key susceptible gene closely associated with Gestational diabetes mellitus. This is the first bioinformatics study to lend further support for the proximate association between Glucokinase[MODY 2] gene and Gestational diabetes mellitus. The identification of Glucokinase mutation in a patient with gestational diabetes is important for both the mother and the baby. It is suggested that early identification of Glucokinase[MODY2] gene mutations may help to prevent the evolution of gestational diabetes and subsequently type II diabetes that develops later in the life.


    » PDF

    Volume & Issue

    Volume 1 Issue 4