HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Genes and nonalcoholic fatty liver disease.

Abstract
Whereas most individuals with nonalcoholic fatty liver disease (NAFLD) will have steatosis, only a minority will ever develop progressive disease. Family studies and interethnic variations in susceptibility suggest that genetic factors may be important in determining disease risk. Although no genetic associations with advanced NAFLD have been replicated in large studies, preliminary data suggest that polymorphisms in the genes encoding microsomal triglyceride transfer protein, superoxide dismutase 2, the CD14 endotoxin receptor, tumor necrosis factor-alpha, transforming growth factor-beta, and angiotensinogen may be associated with steatohepatitis and/or fibrosis. With the advent of high-throughput gene analyses and the reduced cost of whole genome-wide scans, it seems likely that genes contributing to inherited susceptibility to this common disease will be identified in the near future.
AuthorsNimantha Mark Wilfred de Alwis, Christopher Paul Day
JournalCurrent diabetes reports (Curr Diab Rep) Vol. 8 Issue 2 Pg. 156-63 (Apr 2008) ISSN: 1539-0829 [Electronic] United States
PMID18445359 (Publication Type: Journal Article, Review)
Chemical References
  • Cytokines
  • Fatty Acids, Nonesterified
Topics
  • Animals
  • Carcinoma, Hepatocellular (genetics)
  • Cytokines (genetics)
  • Fatty Acids, Nonesterified (analysis)
  • Fatty Liver (etiology, genetics)
  • Female
  • Humans
  • Liver (metabolism)
  • Liver Neoplasms (genetics)
  • Male
  • Oligonucleotide Array Sequence Analysis
  • Oxidative Stress
  • Polymorphism, Genetic
  • Proteomics
  • Risk Factors
  • Sex Characteristics

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: