Functional Genetics for Predisposition to Development of Type 2 Diabetes in Obese Individuals

Abstract

T2D frequently occurs together with obesity. In fact, the vast majorities of T2D individuals from both civilian and Veteran populations are or have been overweight or obese. Surprisingly, the majority of the obese subjects, both Veterans and non-veterans, will never develop T2D and their metabolic tissues will never lose the ability to respond to insulin. This fact indicates the critical role of the genetic predisposition to T2D development in obesity. The proposal assesses for the first time if pathogenic single nucleotide variations (SNVs) within three genes, i.e., PIKFYVE, FIG4 and/or VAC14, found previously to be involved in glucose homeostasis, are linked with T2D development in obese individuals. The expected changes will be related to functional differences in the performance of the PIKfyve enzymatic activity. A total of 96 obese patients with or without T2D (DM and non-DM), 48 per group, with similar average BMI and age have been selected and included in the analyses. Fat tissue for analyses has been collected and the DNA was isolated. Samples were subjected to next-generation exome sequencing. Several promising SNVs in the three genes, with p < 0.05, associated specifically with T2D in the obese individuals have been already identified. Determining their position within the gene and the potential functional outcome is currently in progress.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2018
Accession Number
AD1053927

Entities

People

  • Assia Shisheva
  • Berhane Seyoum
  • Diego Sbrissa
  • Ognian Ikonomov

Organizations

  • Wayne State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • African Americans
  • Biomedical Information Systems
  • Biomedical Research
  • Computational Biology
  • Connective Tissue
  • Demographic Cohorts
  • Department Of Defense
  • Diabetes
  • Diabetes Mellitus
  • Diseases And Disorders
  • Fat Cells
  • Genetics
  • Genomics
  • Glucose Metabolism Disorders
  • Information Operations
  • Maryland
  • Nucleotides
  • Overweight
  • Quality Control
  • Technology Transfer
  • Tissues
  • Type 2 Diabetes
  • Universities

Fields of Study

  • Biology

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Molecular and genetic basis of cancer.
  • Speech Processing/Speech Recognition.

Technology Areas

  • Biotechnology