Systems biology approach reveals genome to phenome correlation in type 2 diabetes

PLoS One. 2013;8(1):e53522. doi: 10.1371/journal.pone.0053522. Epub 2013 Jan 7.

Abstract

Genome-wide association studies (GWASs) have discovered association of several loci with Type 2 diabetes (T2D), a common complex disease characterized by impaired insulin secretion by pancreatic β cells and insulin signaling in target tissues. However, effect of genetic risk variants on continuous glycemic measures in nondiabetic subjects mainly elucidates perturbation of insulin secretion. Also, the disease associated genes do not clearly converge on functional categories consistent with the known aspects of T2D pathophysiology. We used a systems biology approach to unravel genome to phenome correlation in T2D. We first examined enrichment of pathways in genes identified in T2D GWASs at genome-wide or lower levels of significance. Genes at lower significance threshold showed enrichment of insulin secretion related pathway. Notably, physical and genetic interaction network of these genes showed robust enrichment of insulin signaling and other T2D pathophysiology related pathways including insulin secretion. The network also overrepresented genes reported to interact with insulin secretion and insulin action targeting antidiabetic drugs. The drug interacting genes themselves showed overrepresentation of insulin signaling and other T2D relevant pathways. Next, we generated genome-wide expression profiles of multiple insulin responsive tissues from nondiabetic and diabetic patients. Remarkably, the differentially expressed genes showed significant overlap with the network genes, with the intersection showing enrichment of insulin signaling and other pathways consistent with T2D pathophysiology. Literature search led our genomic, interactomic, transcriptomic and toxicogenomic evidence to converge on TGF-beta signaling, a pathway known to play a crucial role in pancreatic islets development and function, and insulin signaling. Cumulatively, we find that GWAS genes relate directly to insulin secretion and indirectly, through collaborating with other genes, to insulin resistance. This seems to support the epidemiological evidence that environmentally triggered insulin resistance interacts with genetically programmed β cell dysfunction to precipitate diabetes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Diabetes Mellitus, Type 2 / drug therapy
  • Diabetes Mellitus, Type 2 / genetics*
  • Diabetes Mellitus, Type 2 / metabolism
  • Diabetes Mellitus, Type 2 / pathology
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation
  • Gene-Environment Interaction
  • Genetic Association Studies*
  • Genome, Human*
  • Genome-Wide Association Study
  • Genotype
  • Humans
  • Hypoglycemic Agents / therapeutic use
  • Insulin / biosynthesis
  • Insulin / genetics*
  • Insulin / metabolism
  • Insulin Resistance / genetics*
  • Insulin Secretion
  • Insulin-Secreting Cells / metabolism*
  • Insulin-Secreting Cells / pathology
  • Male
  • Phenotype
  • Signal Transduction
  • Systems Biology*
  • Transforming Growth Factor beta / genetics
  • Transforming Growth Factor beta / metabolism

Substances

  • Hypoglycemic Agents
  • Insulin
  • Transforming Growth Factor beta

Associated data

  • GEO/GSE29221
  • GEO/GSE29226
  • GEO/GSE29231

Grants and funding

The research was funded by NWP0032 network project entitled “Diabetes mellitus - New drug discovery R&D, molecular mechanisms and genetic & epidemiological factors” of Council of Scientific and Industrial Research, Government of India (http://rdpp.csir.res.in/csir_acsir/Home.aspx). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.