Multiple variants in toll-like receptor 4 gene modulate risk of liver fibrosis in Caucasians with chronic hepatitis C infection

Yonghong Li, Monica Chang, Olivia Abar, Veronica Garcia, Charles Rowland, Joseph Catanese, David Ross, Samuel Broder, Mitchell Shiffman, Ramsey Cheung, Teresa Wright, Scott L. Friedman, John Sninsky

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Background/Aims: Seven genomic loci, implicated by single nucleotide polymorphisms (SNPs), have recently been associated with progression to advanced fibrosis (fibrosis risk) in patients with chronic hepatitis C virus. Other variants in these loci have not been examined but may be associated with fibrosis risk independently of or due to linkage disequilibrium with the original polymorphisms. Methods: We carried out dense genotyping and association testing of additional SNPs in each of the 7 regions in Caucasian case control samples. Results: We identified several SNPs in the toll-like receptor 4 (TLR4) and syntaxin binding protein 5-like (STXBP5L) loci that were associated with fibrosis risk independently of the original significant SNPs. Haplotypes consisting of these SNPs in TLR4 and STXBP5L were strongly associated with fibrosis risk (global P = 3.04 × 10-5 and 4.49 × 10-6, respectively). Conclusions: Multiple variants in TLR4 and STXBP5L genes modulate risk of liver fibrosis. These findings are of relevance for understanding the pathogenesis of HCV-induced liver disease in Caucasians and may be extended to other ethnicities as well.

Original languageEnglish
Pages (from-to)750-757
Number of pages8
JournalJournal of Hepatology
Volume51
Issue number4
DOIs
StatePublished - Oct 2009

Keywords

  • Liver fibrosis
  • Risk factor
  • Single nucleotide polymorphism
  • Syntaxin binding protein STXBP5L
  • Toll-like receptor TLR4

Fingerprint

Dive into the research topics of 'Multiple variants in toll-like receptor 4 gene modulate risk of liver fibrosis in Caucasians with chronic hepatitis C infection'. Together they form a unique fingerprint.

Cite this