Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Multicenter Study
. 2015 Mar 5:6:6422.
doi: 10.1038/ncomms7422.

Interferon-λ rs12979860 genotype and liver fibrosis in viral and non-viral chronic liver disease

Collaborators, Affiliations
Multicenter Study

Interferon-λ rs12979860 genotype and liver fibrosis in viral and non-viral chronic liver disease

Mohammed Eslam et al. Nat Commun. .

Abstract

Tissue fibrosis is a core pathologic process that contributes to mortality in ~45% of the population and is likely to be influenced by the host genetic architecture. Here we demonstrate, using liver disease as a model, that a single-nucleotide polymorphism (rs12979860) in the intronic region of interferon-λ4 (IFNL4) is a strong predictor of fibrosis in an aetiology-independent manner. In a cohort of 4,172 patients, including 3,129 with chronic hepatitis C (CHC), 555 with chronic hepatitis B (CHB) and 488 with non-alcoholic fatty liver disease (NAFLD), those with rs12979860CC have greater hepatic inflammation and fibrosis. In CHC, those with rs12979860CC also have greater stage-constant and stage-specific fibrosis progression rates (P<0.0001 for all). The impact of rs12979860 genotypes on fibrosis is maximal in young females, especially those with HCV genotype 3. These findings establish rs12979860 genotype as a strong aetiology-independent predictor of tissue inflammation and fibrosis.

PubMed Disclaimer

Figures

Figure 1
Figure 1. IFNL genotype and hepatic inflammation and fibrosis.
(a) rs12979860 genotype and hepatic inflammation degree in the cohort of patients with chronic hepatitis C (n=3,129). Pearson’s χ2-test and Fisher’s exact test were used to compare hepatic inflammation rates. (b) rs12979860 genotype and liver fibrosis stage in the cohort of patients with chronic hepatitis C (n=3,129). Pearson’s χ2-test and Fisher’s exact test were used to compare hepatic fibrosis rates. (c) Multivariate cox regressions analysis of rs12979860 genotype on the cumulative probability of progression to moderate/severe (≥F2) fibrosis after adjusting for covariates (age, gender, BMI, duration of the infection, HCV genotype, inflammation progression and basal ALT, AST, GGT, platelets, bilirubin and alkaline phosphatases) in 1,312 patients with an estimated duration of HCV infection. Bars indicate 95% CIs. (d) Stage-specific rates and 95% CIs of fibrosis progression according to rs12979860 genotype in 1,312 patients with an estimated duration of HCV infection. FPRs were obtained using the Markov maximum likelihood estimation. P-values were obtained using a likelihood ratio test comparing models with and without rs12979860 genotype. FPRs were significantly increased for the rs12979860 CC genotype compared with rs12979860 non-CC (P=0.0001). The influence of rs12979860 CC genotype was more important for early compared with late fibrosis stage transitions. Bars indicate 95% CIs.
Figure 2
Figure 2. Interaction of rs12979860 with age and gender.
(a) Multiple logistic regression analysis of rs12979860 genotype on the OR of having moderate/severe (≥F2) fibrosis stratified according to age and gender in the cohort of patients with chronic hepatitis C (n=3,129). Bars indicate 95% CIs. (b) Multivariate Cox regression analysis of rs12979860 genotype on the hazards of having moderate/severe (≥F2) fibrosis stratified according to age and gender in 1,312 patients with an estimated duration of HCV infection. Bars indicate 95% CIs.
Figure 3
Figure 3. IFNL genotype and fibrosis in other non-CHC diseases.
rs12979860 genotype and liver fibrosis in patients with (a) CHB (n=555) and (b) NAFLD (n=488). Pearson’s χ2-test and Fisher’s exact test were used to compare hepatic fibrosis rates.

References

    1. Wynn A. Cellular and molecular mechanisms of fibrosis. J. Pathol. 214, 199–210 (2008) . - PMC - PubMed
    1. Iredale J. P. Models of liver fibrosis: exploring the dynamic nature of inflammation and repair in a solid organ. J. Clin. Invest. 117, 539–548 (2007) . - PMC - PubMed
    1. Mehal W. Z., Iredale J. & Friedman S. L. Scraping fibrosis: expressway to the core of fibrosis. Nat. Med. 17, 552–553 (2011) . - PMC - PubMed
    1. Romero-Gomez M., Eslam M., Ruiz A. & Maraver M. Genes and hepatitis C: susceptibility, fibrosis progression and response to treatment. Liver Int. 31, 443–460 (2011) . - PubMed
    1. Patel K. et al.. HLA class I allelic diversity and progression of fibrosis in patients with chronic hepatitis C. Hepatology 43, 241–249 (2006) . - PubMed

Publication types