Indian Journal of Public Health Research & Development
  • Year: 2018
  • Volume: 9
  • Issue: 11

Diagnosis of genetic analysis of type 2 diabetes mellitus and diabetic complications at a Tertiary Care Teaching Hospital

  • Author:
  • Samapika Bhuyan1, Kanishka Uthansingh1, Ishwar Chandra Behera2, Srikant Kumar Dhar3, Mahesh Chandra Sahu4,
  • Total Page Count: 5
  • Page Number: 2194 to 2198

1Research Scholar, Medical Research Laboratory, IMS and SUM Hospital, Siksha O Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar, Odisha, India

2Professor, Department of Community Medicine, IMS and SUM Hospital, Siksha O Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar, Odisha, India

3Professor, Department of Medicine, IMS and SUM Hospital, Siksha O Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar, Odisha, India

4Assistant Professor, Medical Research Laboratory, IMS and SUM Hospital, Siksha O Anusandhan Deemed to be University, K8, Kalinga Nagar, Bhubaneswar, Odisha, India

*Corresponding Author: Dr. Mahesh Chandra Sahu, PhD, NPDF, Assistant Professor, Medical Research Laboratory, IMS and SUM hospital, Bhubaneswar, Mail: mchsahu@gmail.com

Online published on 13 December, 2018.

Abstract

Type 2 diabetes mellitus (T2DM) is a common multifactorial genetic syndrome, which is determined by several different genes and environmental factors. It now affects 150 million people worldwide but its incidence is increasing rapidly because of secondary factors, such as obesity, hypertension, and lack of physical activity. The genetic study should be carried out to determine the genetic factors involved in type 2 diabetes mellitus.

To find out the genetic diversity of T2DM with respect to TCF7L2, MTHFR, KCNJ11, FOXO1, CNDP1 gene in comorbidity patients.

A total of 50 diabatic patient's blood samples were collected and their different clinical tests were evaluated. Five genes (TCF7L2, MTHFR, KCNJ11, FOXO1, CNDP1) associated with T2FM were downloaded from NCBI and their respective primer were designed with primer 3 tool online software. The synthesized primers were used for PCR and amplified products were sequenced with sangers methods and verified in BLAST. After identification of gene, the sequence were submitted through blanket and accession numbers were documented. The genetic diversities were determined with different phylogenetic trees.

Among 50 T2DM patients 12 were selected for genetic analysis with respect to their other comorbidity diseases. Out of 12 patients TCF7L2 primer was amplified with 10 patients samples, MTHFR primer was amplified in 9 patients, CNDP1 primer was amplified in 5 patients, KCNJ11 primer was amplified in 5 patient. There was no amplification with FOXO1 primer. From five primers, the sample amplified with TCF7L2 primer was most. So in our case TCF7L2 gene was present in maximum patients.

The study described here will help to establish whether providing type 2 diabetes genetic risk information in a primary care setting can help improve patients’ clinical outcomes, risk perceptions, and/or their engagement in healthy behavior change. In addition, study design features such as the use of existing clinic personnel for risk counseling could inform the future development and implementation of care models for the use of individual genetic risk information in primary care.

Keywords

T2DM, genetic diversity, TCF7L2, MTHFR, KCNJ11, FOX01, Phylogenetic tree