What model organisms and interactomics can reveal about the genetics of human obesity

Cell Mol Life Sci. 2012 Nov;69(22):3819-34. doi: 10.1007/s00018-012-1022-5. Epub 2012 May 23.

Abstract

Genome-wide association studies have identified a number of genes associated with human body weight. While some of these genes are large fields within obesity research, such as MC4R, POMC, FTO and BDNF, the majority do not have a clearly defined functional role explaining why they may affect body weight. Here, we searched biological databases and discovered 33 additional genes associated with human obesity (CADM2, GIPR, GPCR5B, LRP1B, NEGR1, NRXN3, SH2B1, FANCL, GNPDA2, HMGCR, MAP2K5, NUDT3, PRKD1, QPCTL, TNNI3K, MTCH2, DNAJC27, SLC39A8, MTIF3, RPL27A, SEC16B, ETV5, HMGA1, TFAP2B, TUB, ZNF608, FAIM2, KCTD15, LINGO2, POC5, PTBP2, TMEM18, TMEM160). We find that the majority have orthologues in distant species, such as D. melanogaster and C. elegans, suggesting that they are important for the biology of most bilateral species. Intriguingly, signalling cascade genes and transcription factors are enriched among these obesity genes, and several of the genes show properties that could be useful for potential drug discovery. In this review, we demonstrate how information from several distant model species, interactomics and signalling pathway analysis represents an important way to better understand the functional diversity of the surprisingly high number of molecules that seem to be important for human obesity.

Publication types

  • Review

MeSH terms

  • Animals
  • Body Mass Index
  • Body Weight / genetics*
  • Caenorhabditis elegans / genetics
  • Drosophila melanogaster / genetics
  • Genetic Predisposition to Disease*
  • Genome-Wide Association Study
  • Genotype
  • Humans
  • Insulin / biosynthesis
  • Insulin / metabolism
  • Insulin Secretion
  • Mice
  • Models, Animal
  • Obesity / genetics*
  • Obesity / metabolism*
  • Signal Transduction
  • Transcription Factors / genetics
  • Transcription Factors / metabolism

Substances

  • Insulin
  • Transcription Factors