Literature DB >> 28186161

Genetic variants in interferon-λ 4 influences HCV clearance in Chinese Han population.

Peng Huang1, Yinan Yao1, Ming Yue2, Ting Tian1, Hongbo Chen3, Mingzhu Chen1, Jie Wang4, Yun Zhang5, Rongbin Yu1.   

Abstract

Recent many studies indicated a novel dinucleotide variant in ss469415590 (TT vs. ΔG) of interferon-λ 4 (IFNL4) gene strongly associated with hepatitis C virus clearance. To evaluate the impact and clinical usefulness of IFNL4 ss469415590 genotype on predicting both spontaneous HCV clearance and response to therapy in Chinese population, we genotyped 795 chronic HCV carriers, 460 subjects with HCV natural clearance and 362 patients with pegylated interferon-α and ribavirin (PEG IFN-α/RBV) treatment. IFNL4 ss469415590 variant genotypes significantly decreased host HCV clearance, both spontaneous (dominant model: OR = 0.50, 95% CI = 0.36-0.71) and IFN-α induced (dominant model: OR = 0.32, 95% CI = 0.18-0.56). Multivariate stepwise analysis indicated that ss469415590, rs12979860, the level of baseline HCV RNA and platelet were as independent predictors for sustained virological response (SVR). But the area under the ROC curve (AUC) was only 0.58 for ss469415590, and it was elevated to 0.71 by adding rs12979860, baseline HCV RNA and platelet in the prediction model of SVR. Therefore, these findings underscore that although genetic factors of host and pathogen were commonly important during HCV clearance, ss469415590 may be also a strongly predictive marker in the Chinese population.

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Year:  2017        PMID: 28186161      PMCID: PMC5301237          DOI: 10.1038/srep42408

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


The hepatitis C virus (HCV) prevalence was about 2.3% all over the world, with 170 million HCV-infected individuals and 29 million in China12. Chronic hepatitis C (CHC) is one of the most common chronic blood-borne infection, and about 30% patients persist infections will progress chronic liver disease, including cirrhosis and hepatocellular carcinoma (HCC)3. About 50% of CHC patients infected with HCV genotype 1 could achieve sustained virological response (SVR) under the therapy of pegylated IFN-α and ribavirin (PEG IFN-α/RBV), while the rate may increase to 70–90% for those infected with genotype 2/34. The eradication of HCV, both spontaneous clearance and IFN-α induced, is influenced by a complex interaction of environmental factors, viral characteristic and genetic background. Genome-wide association studies (GWAS) have identified susceptibility loci at interleukin-28B (IL28B) region56. Recently, Prokunina-Olsson et al. and Bibert et al. has found a dinucleotide variant in ss469415590 (TT vs. ΔG), which located in upstream of IL28B and was in strong linkage disequilibrium (LD) with rs1297986078. This novel SNP leads a frame shift mutation leading to product a novel gene, interferon-λ 4 (IFNL4) which 40.8% amino acid sequence was in consistent with IFNL3. Interestingly, the expression of hepatic interferon stimulated genes (ISGs) was triggered by IFNL4 not IL28B, suggesting that IFNL4 play a key role in responding to exogenous interferon910. Moreover, many researchers confirmed that HCV clearance and induction of IL28B and CXCL10 mRNA depended on ss469415590 genotype rather than rs12979860 and ss469415590 may be the truly functional variant1112. To further test the association of IFNL4 ss469415590 variants with spontaneous HCV clearance and response to treatment, we genotyped IFNL4 ss469415590 and IL28B rs12979860 in 795 chronic HCV carriers, and 460 subjects with HCV natural clearance and 362 patients with PEG IFN-α/RBV treatment in Chinese Han populations.

Results

Participant characteristics

Participant profiles were shown in Table 1. Among 795 persistent HCV carriers and 460 subjects with spontaneous clearance, elder, female and subject infected with viral genotype 1 were significantly more likely to be chronic infection (P < 0.05 for both comparisons). And patients with spontaneous HCV clearance had normal aspartate aminotransferase (AST) and alanine aminotransferase (ALT) than persistent HCV cases (P < 0.001 for AST and P = 0.015 for ALT). In this study, 362 chronic infection patients treated with PEG IFN-α/RBV therapy were recruited from a population of former paid-blood donors, which the viral genotype of these CHC were all genotype 1. 65.7% patients achieved SVR. There were more patients with abnormal AST, higher baseline HCV RNA, and lower platelet among none sustained virological response (N-SVR) group (P = 0.038, <0.01, 0.039, respectively).
Table 1

Patient characteristics.

VariablesSpontaneous clearance (n = 1255)Response to treatment (n = 362)
Chronic (n = 795) N(%)Resolver (n = 460) N(%)P valueN-SVR (n = 125) N(%)SVR (n = 237) N(%)P value
Age, yeara52.44 ± 12.3047.05 ± 14.04<0.00153.91 ± 8.0653.20 ± 8.810.456
Gender  0.017  0.883
Male301 (37.9)206 (44.8) 30 (24.0)59 (24.9) 
Female494 (62.1)254 (55.2) 95 (76.0)178 (75.1) 
Viral genotype  0.002   
1635 (81.9)300 (74.1) 124 (100)237 (100) 
2 or 3140 (18.1)105 (25.9) 00 
AST (IU/L)  <0.001  0.038
<40468 (58.9)340 (73.9) 47 (37.6)117 (49.4) 
≥40327 (41.1)120 (26.1) 78 (62.4)120 (50.6) 
ALT (IU/L)  0.015  0.055
<40509 (64.0)338 (73.5) 39 (31.2)99 (41.8) 
≥40286 (36.0)122 (26.5) 86 (68.8)138 (58.2) 
HCV RNA (IU/L)     <0.001
<106   33 (26.4)113 (47.7) 
≥106   92 (73.6)124 (52.3) 
Platelets (109/L)     0.039
<140   81 (64.8)126 (53.2) 
≥140   44 (35.2)111 (46.8) 
ALB (g/L)b   43.6 (40.8–46.2)43.6 (40.9–46.2)0.607
TP (g/L)b   78 (73.8–82.5)78.1 (74.3–81.5)0.920
WBC (109/L)b   4.9 (3.9–6.1)4.6 (3.7–5.5)0.065
AFP (ng/mL) b   3.8 (2.4–7.4)3.3 (2.0–6.8)0.160
HGB (g/L)b   139 (125–146)133.5 (121–145)0.056
GLU (mmol/L)b   5.5 (5.1–6.4)5.6 (4.9–6.2)0.531

Abbreviation: N-SVR, non sustained virological response; SVR, sustained virological response; Non-1b, genotype 2, 3; AST, aspartate transaminase; ALT, alanine aminotransferase; ALB, albumin; TP, total protein; WBC, white blood cell; AFP, alpha fetal protein; HGB, hemoglobin; GLU, glucose.

aMean ± standard deviation.

bMedian and interquartile range.

The observed genotype frequencies for the two SNPs in subjects with spontaneous HCV clearance were all in Hardy-Weinberg equilibrium (HWE) (P > 0.05). But the allele frequencies of rs12979860 were not in accordance with the predicted HWE in patients who attained SVR (P < 0.001). The LD was moderate between rs12979860 and ss469415590 both for spontaneous resolver (r2 = 0.62) and for patients who attained SVR (r2 = 0.79).

ss469415590 variants and HCV spontaneous clearance

IFNL4 ss469415590 genotype had a significant impact on spontaneous HCV clearance. Clearance rate was higher in patients carrying the beneficial TT/TT genotype (39.4%) than in patients with TT/ΔG (23.8%) or ΔG/ΔG (18.7%) (P < 0.001). Meanwhile, IL28B rs12979860 variants were also negatively related with viral clearance and clearance rate was 38.9%, 27.6% and 17.2% for CC, CT and TT genotype (P < 0.001). After adjusting for age, gender, and viral genotype, logistic regression analyses showed that IFNL4 ss469415590 and IL28B rs12979860 variant genotypes significantly decreased the ability of host HCV clearance (dominant model: OR = 0.50, 95% CI = 0.36–0.71 for ss469415590; OR = 0.59, 95% CI = 0.42–0.83 for rs12979860) (Table 2). This effect of ss469415590 and rs12979860 on HCV clearance remained in existence after being conditioned on each other (P = 0.005 for ss469415590 and P = 0.016 for rs12979860) and therefore they was included in further combined analyses by adding up the number of unfavorable alleles of the independent SNPs ss469415590-ΔG and rs12979860-T. The result showed that subjects carrying three to four unfavorable alleles had a 90% decrease in clearance in comparison with those without unfavorable allele (OR = 0.10, 95% CI = 0.02–0.42) (Table 3).
Table 2

Association of selected polymorphisms with HCV clearance and SVR.

Spontaneous clearance (n = 1255)
GenotypeChronic N(%)Resolver N(%)Clearance rateOR (95% CI)aP valuea
rs12979860
 CC634 (79.7)404 (87.8)38.91.00 
 CT134 (16.9)51 (11.1)27.60.63 (0.44–0.90)0.010
 TT27 (3.4)5 (1.1)17.20.37 (0.14–0.99)0.049
 Dominant   0.59 (0.42–0.83)0.002
 Recessive   0.40 (0.15–1.06)0.066
 Additive   0.62 (0.46–0.83)0.002
ss469415590
 TT/TT628 (79.0)409 (88.9)39.41.00 
 TT/ΔG154 (19.4)48 (10.4)23.80.51 (0.36–0.73)<0.001
 ΔG/ΔG13 (1.6)3 (0.7)18.70.37 (0.11–1.34)0.130
 Dominant   0.50 (0.36–0.71)<0.001
 Recessive   0.41 (0.12–1.47)0.172
 Additive   0.53 (0.39–0.74)<0.001
Response to treatment (n = 362)
GenotypeN-SVR N(%)SVR N(%)SVR rateOR (95% CI)bP valueb
rs12979860
 CC65 (52.0)180 (76.0)73.51.00 
 CT37 (29.6)42 (17.7)53.20.41 (0.24–0.69)<0.001
 TT23 (18.4)15 (6.3)39.50.24 (0.12–0.48)<0.001
 Dominant   0.34 (0.22–0.54)<0.001
 Recessive   0.30 (0.15–0.60)0.001
 Additive   0.46 (0.34–0.64)<0.001
ss469415590
 TT/TT91 (72.8)212 (89.5)70.01.00 
 TT/ΔG31 (24.8)24 (10.1)43.60.33 (0.18–0.60)<0.001
 ΔG/ΔG3 (2.4)1 (0.4)25.00.14 (0.02–1.39)0.094
 Dominant   0.32 (0.18–0.56)<0.001
 Recessive   0.17 (0.02–1.67)0.130
 Additive   0.34 (0.20–0.58)<0.001

Abbreviation: N-SVR, non sustained virological response; SVR, sustained virological response.

aLogistic regression analyses adjusted for age, gender, and viral genotype.

bLogistic regression analyses adjusted for age, gender, HCV RNA and platelets.

Table 3

Cumulative effects of rs12979860 and ss469415590 on HCV clearance and SVR.

VariablesaSpontaneous clearance
Response to treatment
Chronic N(%)Resolver N(%)OR (95% CI)bN-SVR N(%)SVR N(%)OR (95% CI)c
0572 (71.9)385 (83.7)1.0061 (48.8)174 (73.5)1.00
1111 (14.0)39 (8.5)0.52 (0.35–0.77)16 (12.8)34 (14.3)0.81 (0.39–1.65)
282 (10.3)34 (7.4)0.62 (0.40–0.94)42 (33.6)23 (9.7)0.13 (0.07–0.25)
3–430 (3.8)2 (0.4)0.10 (0.02–0.42)6 (4.8)6 (2.5)0.18 (0.05–0.65)
Trend  Pd < 0.001  Pd < 0.001
0572 (71.9)385 (83.7)1.0061 (48.8)174 (73.5)1.00
1–4223 (28.1)75 (16.3)0.50 (0.37–0.67)64 (51.2)63 (26.5)0.28 (0.17–0.46)

Abbreviation: N-SVR, non sustained virological response; SVR, sustained virological response.

aVariables are numbers of combined unfavorable genotypes (rs12979860 T and ss469415590 ΔG).

bLogistic regression analyses adjusted for age, gender, and viral genotype.

cLogistic regression analyses adjusted for age, gender, HCV RNA and platelets.

dP value of Cochran-Armitage’s trend test.

ss469415590 variants and response to treatment

In 361 HCV genotype 1 patients, SVR was strongly associated with IFNL4 ss469415590 genotype: 70.0% of patients with ss469415590 TT/TT had SVR, whereas only 43.6% of patients with TT/ΔG and 16.7% of ΔG/ΔG achieved SVR (P < 0.001). Subjects with IL28B rs12979860 variant TT were also fewer to achieve SVR (Table 2). Multivariate stepwise analysis indicated that these two SNPs, the level of baseline HCV RNA and platelet were as independent predictors for SVR (Table 4). After adjustment with age, gender, baseline HCV RNA and platelet, multivariate logistic regression showed that the OR of ss469415590 and rs12979860 was 0.32 and 0.34 in dominant model respectively, compared with patients with favorable genotypes (Table). The combined effect of unfavorable alleles on SVR indicated that carrying two unfavorable alleles offered the highest risk effect (OR = 0.13, 95% CI = 0.07–0.25), as showed in Table 3.
Table 4

Multivariate stepwise regression analysis for independent factors of SVR.

VariablesCoef.SEOR (95% CI)P value
rs12979860−0.1330.0410.43 (0.25–0.75)0.003
HCV RNA−0.2490.0511.65 (1.02–2.67)0.043
ss469415590−0.2220.0670.29 (0.13–0.60)<0.001
Platelets1.8700.0490.28 (0.15–0.45)<0.001

Abbreviation: Coef, coefficient of variation; SE, standard error; SVR, sustained virological response.

We used decision tree ensembles in the form of a random forest classifier to quantify the relative predictive power of ss469415590, rs12979860, selected demographic characteristics, and clinical features. As a result of this multivariate analysis, the predictive power of a variable was expressed as the Gini. The Fig. 1A showed that the first four stronger factors were ss469415590, baseline HCV RNA, rs12979860 and platelet. The AUC was 0.58 for ss469415590, and was 0.64 for the set of ss469415590 and rs12979860 (Fig. 1B,C). But the AUC was elevated to 0.71 by adding baseline HCV RNA and platelet in the prediction model, suggesting that genetic factors of host and pathogen were commonly important to resolution of virus during treatment (Fig. 1D).
Figure 1

Predictors of HCV treatment response.

(A) Importance blots of all variables in 362 patients. (B) ROC curve for prediction of treatment response using the IFNL4 ss469415590. (C) ROC curve for prediction of treatment response using the combination of IFNL4 ss469415590 and IL28B rs12979860. (D) ROC curve with the combination of IFNL4 ss469415590, IL28B rs12979860, baseline HCV RNA and platelet to predict HCV treatment response.

Meanwhile ss469415590-ΔG variant (dominant model: OR = 0.26, 95% CI = 0.12–0.54 for RVR; OR = 0.11, 95% CI = 0.06–0.22 for EVR) and n class="Mutation">rs12979860-T variant (dominant model: OR = 0.37, 95% CI = 0.23–0.62 for RVR; OR = 0.46, 95% CI = 0.26–0.81 for EVR) were also negatively related with RVR and EVR (Supplemental Table 2).

ss469415590 variants and HCV time-dependent clearance

Patients were stratified according to their IFNL4 ss469415590 and IL28B rs12979860 allele type, and the rate of undetectable HCV-RNA at 4, 8, 12, 24, 48 weeks after the start of therapy and 24 weeks after cessation of treatment were analyzed (Fig. 2A,B). The rate of undetectable HCV RNA was significantly higher in patients with the ss469415590 TT and rs12979860 CC genotype than ss469415590 TT/ΔG or ΔG/ΔG and rs12979860 CT/TT genotype. Especially, the difference was most significant when stratified by ss469415590 genotype: 44.2% vs. 18.6% for 4 weeks, 67.7% vs. 30.5% for 12 weeks and 85.9% vs. 58.3% for 48 weeks.
Figure 2

Effect of IFNL4 and IL28B variants on time-dependent clearance of HCV.

(A) The rate of undetectable HCV RNA stratified by IFNL4 ss469415590 alleles. (B) The rate of undetectable HCV RNA stratified by IL28B rs12979860 alleles. *P < 0.05, **P < 0.01.

Meta-analysis

To further study the impact of IFNL4 ss469415590 on HCV clearance, a meta-analysis was performed by the published data, including four data for HCV spontaneous clearance and 12 data for HCV SVR (Supplemental Table 3)7811121314151617. Figure 3 indicated significant association between IFNL4 ss469415590 variant and decreased ability of HCV clearance (pooled OR = 0.30, 95% CI = 0.23–0.39 for HCV spontaneous clearance; pooled OR = 0.26, 95% CI = 0.22–0.32 for HCV SVR in dominant model). Subgroup analysis showed that the estimated OR was 0.21 (95% CI = 0.17–0.27) in HCV genotype 1 and 0.36 (95% CI = 0.26–0.48) in other genotypes. These results indicated that patients with ss469415590 variant types may have a lower ability of HCV clearance, especially in viral genotype 1.
Figure 3

Meta-analysis of the IFNL4 ss469415590 on HCV clearance in dominant genetic model.

The position of each symbol indicates the odds ratio (OR) for each included study; the horizontal lines indicate 95% confidence intervals (95%CIs). The vertical dashed lines represent the overall OR of all included studies. Arrows indicate 95%CIs that exceed the x-axis scale.

Discussion

In this study, we investigated the associations between IFNL4 ss469415590 and risk of HCV clearance and this is the first study that validated the observations of Prokunina-Olsson et al. and of Bibert et al. on the prediction of the eradication of HCV, both spontaneous and IFN-α induced, in a large cohort of Chinese Han populations78. The main finding was that the predictive value of IFNL4 ss469415590 was almost identical to that of IL28B rs12979860, which were all consistent with previous studies in other races121314. But, unexpectedly, the linkage disequilibrium among these two SNPs in our study was only moderate, especially in spontaneous resolver (r2 = 0.62). Previous studies have reported that ss469415590 and rs12979860 were in strong linkage disequilibrium in chronic hepatitis C virus type 1 or 4 infection in Caucasians1218. Both studies were conducted to predict the treatment response of peginterferon alpha and ribavirin. However, the moderate linkage disequilibrium in our study was performed in spontaneous resolver. Besides, the linkage disequilibrium between ss469415590 and rs12979860 in Chinese Han population may be not as strong as in Caucasians. We performed a mini meta-analysis with a dominant genetic model by pooling the published data to study the effect of IFNL4 ss469415590 on HCV clearance. The pooled ORs were lower than these in our current research for both spontaneous clearance and IFN-α induced eradication, suggesting the negative effectiveness of IFNL4 ss469415590 variant was stronger in the meta-analysis. The mainly reason may be the discrepancy of genetic background in different races. The frequency of ss469415590-TT/ΔG or ΔG/ΔG was about 12.2% in Chinese patients with HCV spontaneous clearance of our study, while that was about 69.9% in non-Chinese patients of the meta-analysis. This extreme variation also was found in SVR patients infected with genotype 1 (10.5% vs. 60.8%). But this discrepancy of frequency of ss469415590-TT/ΔG or ΔG/ΔG in SVR patients infected with genotype 1 was reduced among our study and three Japanese studies of the meta-analysis (10.5% vs. 24.7%). Although GWAS defined the strong association between IL28B SNPs and viral eradication in hepatitis C, the exact mechanism or function of IL28B has yet to be testified, and even some paradoxes existed in various researches. On one hand, based on different IL28B alleles, the level of expression of IL28B was dissimilar between in peripheral blood mononuclear cells (PBMCs) and in liver tissue. Many studies identified that the level of expression of IL28B was lower in PBMCs from subjects with unfavorable IL28B variants in comparison with patients carrying the wild-type gene. However, this findings was fewer confirmed in liver tissue619. On the other hand, the causal impact of IL28A which was a homology with IL28B on HCV clearance was hardly recognized, suggesting that IL28B may not be the true explanation of HCV clearance9. Recently, several researches focused on the function of IFNL4 which may provide the causal mechanism of HCV clearance. First of all, as is known, patients with a high induction of ISG in liver tissue would achieve a poor response to IFN-α. And ISGs upon transient expression in hepatocyte was induced by IFNL4 gene transfection20. In addition, the study of Bibert et al. confirmed that the level of IL28B and CXCL10 expression in poly(I:C)-stimulated PBMCs was strongly depended on ss469415590 genotypes but not on rs129798608. Covolo et al. validated the observations that circulating level of CXCL10 was significantly higher in patients with ss469415590 mutant alleles12. Although IFNL4 ss469415590 is strongly associated with HCV clearance, it is uncertain that these genetic markers will be still needed if the upcoming IFN-free therapy will become available. We think this conjecture is not well founded. Firstly, many new treatments such as Daclatasvir and Sofosbuvir were still in clinical trials and such high payment lead it will not be available for the foreseeable future in developing countries21. Secondly, with significantly high SVR rates and safety, these IFN-free therapies were researched only in recent years and still needed a long follow-up time to assess the safety and efficacy22. Thus, interferon-based therapies will be used for many years in most countries. Finally, in the recent paper on the triple therapy with pegylated IFN-α2b, RBV and telaprevir, 176 patients with IFNL4 ss469415590 TT/TT had better response rates than those carrying TT/ΔG or ΔG/ΔG alleles, suggesting genetics may still play a role for new therapy16. In this study the environment factors (baseline viral load and platelet) as well as genetic factors independently contribute to the response to treatment. The predict value of ss469415590 for SVR was only moderate (AUC = 0.58) and almost 30% patients carrying with beneficial IFNL4 TT/TT genotype did not achieve SVR. These results were confirmed by some recent findings, and reflected a complex genotype -environment interaction for predicting HCV clearance. Our study had numerous strengths. First of all, enough statistical power was guaranteed with a relatively large sample size in this study, and it is the first study demonstrating that IFNL4 ss469415590 variants influence HCV clearance in Chinese Han population, which validated the effect of the novel marker in non-Caucasians. Moreover, patients with treatment came from parts of HCV persistent carriers who were all infected with HCV by blood donation, which may have reduced potential selection bias. Finally, it is rare to study the association between IFNL4 ss469415590 and HCV clearance, both spontaneous and IFN-α induced in one study. However, little is known regarding the biological mechanism of the significant SNP in the clearance of HCV. Therefore, validations with functional characterizations are warranted. In conclusion, our study validated that IFNL4 n class="Mutation">ss469415590 was also strongly associated with HCV clearance in Chinese Han population.

Methods

Ethical statement

This study was approved by the medical ethics committee of Nanjing Medical University. All subjects provided informed consent to participate in the study. The experiment was carried out according to the Declaration of Helsinki.

Participants

1255 participants for studying spontaneous HCV clearance were recruited from the Nanjing compulsory detoxification center (Nanjing, China) during May and Dec 2006, nine hospital hemodialysis centers in southern China during Oct 2008 and Jan 2010, and a population of former paid-blood donors (Zhenjiang, China) from April 2010 to January 2013. The information about these participants had been described in our previous studies2324. 362 treatment-naïve CHC patients were recruited from Jurong People’s Hospital (Jurong, China) from Jan 2011 to Oct 2013, which aimed to evaluate the factors that impacted on response to anti-viral therapy. Eligibility criteria for therapy included age between 18 and 70 years, detectable HCV RNA in serum over a span of more than 6 months of treatment initiation, negative for hepatitis B infection, without other types of liver diseases such as alcoholic diseases, autoimmune liver diseases or metabolic liver diseases. Each participant was interviewed by a structured questionnaire to collect information on demographic data and environmental exposure history. After interview, an approximately 5 mL venous blood sample was collected from each participant. The serum and peripheral blood mononuclear cells were separated and stored at −70 °C until assay.

Treatment therapy and outcome

Patients received weekly injections of n class="Chemical">pegylated IFN-α2a (180 g) and ribavirin (RBV) was administered orally for 48 weeks. The amount of ribavirin was adjusted based on body weight (600 mg for <60 kg, 800 mg for 60–80 kg, 1000 mg for >80 kg). According to the manufacturers’ instructions, HCV RNA was quantified in all patients at baseline and after 4, 12, 24 and 48 weeks of treatment and 24 weeks after cessation of treatment by Cobas Amplicor HCV Monitor Test, v2.0 (Roche, Basel, Switzerland). In this study, rapid virological response (RVR) was defined as undetectable HCVRNA at 4 weeks during therapy. Early virological response (EVR) was defined as ≥2 log reduction in HCV RNA level compared to baseline HCV RNA level or undetectable HCVRNA at 12 weeks during treatment. SVR was defined as HCV RNA negative 24 weeks after treatment-free follow-up.

SNP genotyping

DNA extraction was with protease K digestion and phenol-chloroform purification, which was described previously25. Genotyping was performed by the TaqMan allelic discrimination assay on ABI PRISM 7900HT Sequence Detection system (Applied Biosystems, San Diego, CA, USA). The information on primers and probes are shown in Supporting Table 1. Two blank controls and 5 repeated samples were assigned in each genotyping assay, and a 100% concordant was achieved. The IL28B rs12979860 allele C and IFNL4 ss469415590 alleles TT were defined as wild-type alleles, whereas the T and ΔG as mutant alleles respectively.

Statistical analysis

Differences in the general demographic characteristics were calculated by the Student t test and the chi-square (χ2) test. The associations of SNPs with HCV spontaneous clearance, RVR, EVR and SVR were estimated by the odds ratios (ORs) and 95% confidence intervals (CIs) using multivariate logistic regression analysis. Age, gender and viral genotype were adjusted for HCV spontaneous clearance, while, age, gender, baseline HCV RNA and platelet were adjusted for RVR, EVR and SVR during regression analysis. A stepwise forward procedure was used for selecting the final logistic regression model for predicting outcomes of HCV treatment. The trend analysis was assessed with Cochran-Armitage trend test. Random forest, an advanced tree classifier, was used to evaluate the importance of each variable and to improve the performance of classification. The Gini or information entropy was the standard to classify the partner node into two child nodes. In our study, the area under the curve (AUC) and the plot of variables importance indicated the result of this method26. All the statistical analyses were carried out by STATA 12.0 software (StataCorp LP, College Station, TX, USA), and P < 0.05 in a two-sided test was considered as statistical significance.

Additional Information

How to cite this article: Huang, P. et al. Genetic variants in interferon-λ 4 influences HCV clearance in Chinese Han population. Sci. Rep. 7, 42408; doi: 10.1038/srep42408 (2017). Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
  25 in total

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Journal:  Liver Int       Date:  2013-12-23       Impact factor: 5.828

5.  The novel ss469415590 variant predicts virological response to therapy in patients with chronic hepatitis C virus type 1 infection.

Authors:  L Covolo; S Bibert; F Donato; P-Y Bochud; M Lagging; F Negro; G Fattovich
Journal:  Aliment Pharmacol Ther       Date:  2013-12-05       Impact factor: 8.171

6.  IFNL4 ss469415590 Variant Is Associated with Treatment Response in Japanese HCV Genotype 1 Infected Individuals Treated with IFN-Including Regimens.

Authors:  Tatsuo Miyamura; Tatsuo Kanda; Shingo Nakamoto; Makoto Arai; Masato Nakamura; Shuang Wu; Xia Jiang; Reina Sasaki; Yuki Haga; Shin Yasui; Yoshihiko Ooka; Tetsuhiro Chiba; Fumio Imazeki; Shigeru Mikami; Osamu Yokosuka
Journal:  Int J Hepatol       Date:  2014-12-08

7.  Association of polymorphisms in HLA antigen presentation-related genes with the outcomes of HCV infection.

Authors:  Peng Huang; Yuanyuan Zhang; Xiaomei Lu; Yin Xu; Jie Wang; Yun Zhang; Rongbin Yu; Jing Su
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

8.  Daclatasvir plus sofosbuvir for previously treated or untreated chronic HCV infection.

Authors:  Mark S Sulkowski; David F Gardiner; Maribel Rodriguez-Torres; K Rajender Reddy; Tarek Hassanein; Ira Jacobson; Eric Lawitz; Anna S Lok; Federico Hinestrosa; Paul J Thuluvath; Howard Schwartz; David R Nelson; Gregory T Everson; Timothy Eley; Megan Wind-Rotolo; Shu-Pang Huang; Min Gao; Dennis Hernandez; Fiona McPhee; Diane Sherman; Robert Hindes; William Symonds; Claudio Pasquinelli; Dennis M Grasela
Journal:  N Engl J Med       Date:  2014-01-16       Impact factor: 91.245

Review 9.  Perspectives and challenges of interferon-free therapy for chronic hepatitis C.

Authors:  Christian M Lange; Stefan Zeuzem
Journal:  J Hepatol       Date:  2012-10-24       Impact factor: 25.083

10.  IFNL4 ss469415590 variant shows similar performance to rs12979860 as predictor of response to treatment against Hepatitis C Virus genotype 1 or 4 in Caucasians.

Authors:  Luis M Real; Karin Neukam; Rocío Herrero; Josep M Guardiola; Thomas Reiberger; Antonio Rivero-Juarez; Juliana Salazar; Mattias Mandorfer; Dolores Merino; Vicente Soriano; Antonio Rivero; Juan Macías; Juan A Pineda; Antonio Caruz
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

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  1 in total

Review 1.  Hepatitis C Virus Genetic Variability, Human Immune Response, and Genome Polymorphisms: Which Is the Interplay?

Authors:  Daniele Lapa; Anna Rosa Garbuglia; Maria Rosaria Capobianchi; Paola Del Porto
Journal:  Cells       Date:  2019-04-03       Impact factor: 6.600

  1 in total

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