Association of killer cell immunoglobulin-like receptor polymorphisms with chronic hepatitis C and responses to therapy in Brazil

RESERACH ARTICLE

Association of killer cell immunoglobulin-like receptor polymorphisms with chronic hepatitis C and responses to therapy in Brazil

Janaina Mota de Vasconcelos^I; Lizomar de Jesus Maués Pereira Móia^II,III; Ivanete do Socorro Abraçado Amaral^III; Esther Castello Branco Mello Miranda^II; Louise Yukari CicaliseTakeshita^I; Layanna Freitas de Oliveira^I; Lilian de Araújo Melo Mendes^I; Danuta Sastre^I; Bruna Pedroso Tamegão-Lopes^I; Larysse Santa Rosa de Aquino Pedroza^I; Sidney Emanuel Batista dos Santos^I; Manoel do Carmo Pereira Soares^IV; Marialva Tereza Ferreira de Araújo^II; Camila Lucas Bandeira^II; Adriana Maria Paixão de Sousa da Silva^II; Zilene Lameira de Medeiros^II; Leonardo Sena^I; Samia Demachki^II; Eduardo José Melo dos Santos^I

^IInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, PA, Brazil

^IIInstituto de Ciências da Saúde, Faculdade de Medicina, Universidade Federal do Pará, Belém, PA, Brazil

^IIICentro de Ciências Biológicas e da Saúde, Universidade do Estado do Pará, Belém, PA, Brazil

^IVInstituto Evandro Chagas, Seção de Hepatologia, Belém, PA, Brazil

^{Send correspondence to}

ABSTRACT

Soroprevalence for Hepatitis C virus is reported as 2.12% in Northern Brazil, with about 50% of the patients exhibiting a sustained virological response (SVR). Aiming to associate polymorphisms in Killer Cell Immunoglobulin-like Receptors (KIR) with chronic hepatitis C and therapy responses we investigated 125 chronic patients and 345 controls. Additionally, 48 ancestry markers were genotyped to control for population stratification. The frequency of the KIR2DL2 and KIR2DL2+HLA-C^Asp80 gene and ligand was higher in chronic infected patients than in controls (p < 0.0009, OR = 3.4; p = 0.001, OR = 3.45). In fact, KIR2DL3 is a weaker inhibitor of NK activity than KIR2DL2, which could explain the association of KIR2DL2 with chronic infection. Moreover, KIR2DS2 and KIR2DS2+HLA-C^Asp80 (p < 0.0001, OR = 2.51; p = 0.0084, OR = 2.62) and KIR2DS3 (p < 0.0001; OR = 2.57) were associated with chronic infection, independently from KIR2DL2. No differences in ancestry composition were observed between control and patients, even with respect to therapy response groups. The allelic profile KIR2DL2/KIR2DS2/KIR2DS3 was associated with the chronic hepatitis C (p < 0.0001; OR = 3). Furthermore, the patients also showed a higher mean number of activating genes and a lower frequency of the homozygous AA profile, which is likely secondary to the association with non-AA and/or activating genes. In addition, the KIR2DS5 allele was associated with SVR (p = 0.0261; OR = 0.184).The ancestry analysis of samples ruled out any effects of population substructuring and did not evidence interethnic differences in therapy response, as suggested in previous studies.

Keywords: HCV, KIR, HLA-C, hepatitis C, KIR2DL2.

Introduction

The infection by hepatitis C virus (HCV) is an important cause of chronic liver disease, whose prevalence varies from 0.01% to 26% worldwide (Irshad et al., 2008). In this context, Brazil shows an intermediary prevalence (around 1.23%), with the highest rate (2.12%) in the northern region (Martins et al., 2011). Regarding the clinical evolution of hepatitis C, viral clearance occurs in 20-30% of the cases (Mello et al., 2007), and over 30% of the chronic infections may evolve to severe forms, like cirrhosis and hepatocellular carcinoma (Bode et al., 2008; Paraná et al., 2008).

The 2002 NIH Consensus Development Conference on the Management of Hepatitis C strongly propagated a combination therapy of ribavirin with pegylated alpha interferon (Peg-IFN). Nonetheless, therapeutic protocols depend on HCV genotype, with genotypes 1 and 4 demanding a more time-consuming therapy (48 weeks) than others which demand only 24 weeks, thus highlighting the role of viral genetic factors in therapy response modulation.

Although the influence of the viral genotype is well established and mainly determining the response to treatment (Vidal-Castiñeira et al., 2010), the influence of the host's genetic background on the evolution of HCV infection and the outcome of hepatitis C treatment is still a matter of current studies (Grünhage and Nattermann, 2010). Concerning the evolution of the infection, polymorphisms in Killer Cell immunoglobulin-like receptors (KIR) and their HLA-C ligands have consistently been associated with viral clearance and chronic infection (Khakoo et al., 2004; Knapp et al., 2010; Romero et al., 2008), as well as with response to treatment (Carneiro et al., 2010; Knapp et al., 2010; Vidal-Castiñeira et al., 2010). Even though there is a consensus that KIR genes are involved in modulating the course of the HCV infection, the question of exactly which KIR gene (or genes) is responsible for the primary association is still a matter of debate.

The KIR gene complex, which has 14 genes and is localized in a region of approximately 150 kb within the Leukocyte Receptor Complex, exhibits considerable polymorphism, greatly due to large gene rearrangements that generate differences in gene composition among chromosomes. The presence or absence of specific KIR genes has been a major focus in association studies. For instance, the presence of KIR2DL3 was frequently associated with viral clearance (Khakoo et al., 2004; Knapp et al., 2010; Romero et al., 2008), except for one study (Montes-Cano et al., 2005). Additional phenotypes, such as the presence and KIR2DS5, and the absence of KIR2DS2 have also been described as associated with HCV clearance, but these associations are not as clear (Paladino et al., 2007). The influence of KIR on the modulation of the response to therapy was only recently approached, and two studies reported an association of KIR2DL3 homozygosis, in combination with their respective HLA-C ligand, with response to treatment (Knapp et al., 2010; Vidal-Castiñeira et al., 2010), while a third study failed to do so and instead reported an additional association of the presence of KIR2DL5 with nonresponsiveness (Carneiro et al., 2010).

Such disagreements may reflect differences in linkage disequilibrium patterns among the populations investigated in the different studies, as well as an effect of population substructuring or stratification. However, since linkage disequilibrium trends have been demonstrated to be mostly homogeneous across different regions of the world (Single et al., 2008), substructuring remains as the likely cause of disagreement between such studies.

In our study we investigated 125 chronic hepatitis C patients, infected with HCV genotypes 1 and 3, and compared them to 345 healthy and non HCV-infected controls in order to investigate the association of HCV chronic infection and response to therapy with KIR polymorphism. To our knowledge, the present study is the first one that controls for population stratification when evaluating the association between response to therapy and KIR gene cluster polymorphism. Moreover, we also controlled for the independence of the associations observed, thus ruling out putative linkage disequilibrium biases. Finally, the use of ancestry estimates allowed us to testing for putative ethnic differences in the response to therapy, as reported in the literature (Liu et al., 2008; Ge et al., 2009).

Subjects and Methods

Patients and controls

Blood samples of HCV patients and control were collected from admixed population from the city of Belém, Pará, in the Northern Region of Brazil. HCV patients comprised 125 individuals diagnosed with chronic hepatitis C from a special Chronic Liver Disease Program of the Santa Casa de Misericórdia do Pará, a public hospital. Thus, diagnosis and treatment were always conducted by the same group of physicians (Liver Workgroup) following homogeneous and well established diagnosis criteria and therapeutic protocols. All patients had a chronic HCV infection. The characterization of chronic infection comprised the detection of seropositivity by means of an ELISA using anti-HCV antibodies, detection of RNA-HCV by PCR, and determination of viral load by quantitative real time PCR (Miranda et al., 2004) Besides serological and molecular detection of HCV, all patients had chronic hepatitis diagnosed according to clinical and histopathologic criteria, as well as laboratorial evaluation of liver function. Coinfection with hepatitis B virus and/or HIV, and association with metabolic or autoimmune disorders were used as exclusion criteria in this study.

All patients had their HCV genotype determined by reverse hybridization (VERSANT HCV Genotype Assay LiPA). Genotype 1 was detected in 82% of the patients, while genotypes 3 (17%) and 2 (1%) constituted a small fraction of the sample. Following the Brazilian therapeutic protocol, all patients carrying genotype 1 were treated with peguilated interferon (PEG-IFN) associated with Ribavirin (RBV) for 48 to 72 weeks, while those bearing genotype 2 or 3 were treated with conventional IFN also associated to RBV for 24 weeks. The response to treatment was evaluated afterwards, allowing to classify the patients according to the following groups: i) Sustained Viral Response (SVR), when HCV RNA was no longer detectable by qualitative PCR at 24 weeks after the end of the treatment; ii) Non-respondents (NR), when HCV RNA was still detected at 24 weeks after treatment (Brasil, 2011). The control sample consisted of 345 healthy unrelated individuals, representative of the same population as the patients. The control sample was the same as the one used in a previous study from our group (Pedroza et al., 2011). The mean age and proportion of females were, respectively, 41.7 years and 59% in controls, and 57.4 years and 40% in patients. Informed consent was obtained from all individuals and the study protocol met the ethical demands defined by the Brazilian legislation and was approved by the Ethic Committee from the Health Sciences Institute from the Federal University of Pará: registration 148/09.

Individual ancestry markers

The Brazilian population is highly admixed, displaying a main European ancestry with variable Amerindian and African contributions. Four decades of studies done in Belém, Pará, revealed proportions of African, Amerindian and European ancestry ranging from 0.12 to 0.33, 0.16 to

0.3 and 0.48 to 0.61, respectively (Ayres et al., 1976; Schneider and Salzano, 1979; Guerreiro and ChautardFreire-Maia, 1988; Santos et al., 2010). Hence, to avoid a bias in population substructuring we evaluated the individual proportion of ethnic admixture using 48 unlinked insertion/deletion polymorphisms, previously validated as optimal ancestry markers for the population of Belém (Santos et al., 2010).

Ancestry markers met two main criteria: i) great differences in allele frequencies (: 40%) between African, European and/or Amerindian ethnicities, and ii) location in different chromosomes or in distinct physical regions on the same chromosome (Santos et al., 2010). Primer concentrations and sequences, as well as multiplex PCR conditions and capillary electrophoresis on ABI PRISM 3130 Genetic Analyzer (Applied Biosystems), are described elsewhere (Santos et al., 2010).

Laboratory procedures

Venous blood samples (5 mL) were collected from all individuals, and DNA was isolated from white cells following a protocol by Sambrook et al. (1989).

KIR phenotypic profiles were obtained by performing 29 PCR-SSP reactions for each individual: two different pairs of primers for 13 KIR loci (KIR2DL1, KIR2DL2, KIR2DL3, KIR2DL4, KIR2DL5, KIR2DS2, KIR2DS3, KIR2DS4, KIR3DL1, KIR3DS1, KIR3DS2, KIR3DS3, KIR2DP1), a pair of primers for KIR2DS1 and KIR2DS5, and an additional pair of internal control primers (Martin et al., 2002). Each reaction contained 15 ng of DNA, 0.1 mM dNTPs, 1.5 mM MgCl2, 67 mM Tris-HCl (pH 8.8), 16 mM (NH4)2SO4, 0.25 mM of each primer, and 1 U Taq polymerase (Invitrogen^®) to a total volume of 10 µL. Negative reactions without sample DNA were done to confirm nonamplification, while 30% of samples were randomly repeated in order to control for the accuracy and reproducibility of genotyping. No discordances were observed and all genotyping reactions were validated. Visualization of the PCR products was done by electrophoresis (120 V, 2 h) in polyacrylamide gels followed by staining with silver nitrate.

The HLA-C ligand groups (HLA-C^Asp80 and HLAC^Lys80) were genotyped by real time PCR according to Hong et al. (2011).

Statistical analysis

Frequencies of KIR genes in controls and patients were compared utilizing a chi-square test with the p value obtained by Monte Carlo simulations (Sham and Curtis, 1995) equivalent to Fisher's Exact Test. A correction for multiple testing was done whenever necessary by multiplying the p value by the number of tests, according to the hypothesis. The Odds Ratio (OR) was estimated for significant associations. Differences in the number of activating receptors between samples and subsamples were tested by Mann-Whitney test.

The criterion to designate an individual as homozygous for haplogroup A (AA) was the absence of KIR2DL2, KIR2DL5, KIR3DS1, KIR2DS1, KIR2DS2, KIR2DS3, and KIR2DS5 genes, according to what is preconized by Gonzalez-Galarza et al. (2011). Control and patient samples were tested for differences between individual ancestry proportions using the Mann-Whitney test. The same procedure was used to test for differences in African, European, and Amerindian ancestry proportions between SVR and NR subgroups of patients; these also being matched for genotype 1 HCV and treatment protocol. Individual ancestry proportions were estimated using the program Structure ver. 3.2.

Results

Association between KIR polymorphism and chronic hepatitis C

Three KIR genes showed an association with chronic hepatitis C: KIR2DL2 (p = 0.0009 p_c = 0.0126; OR = 3.4 95%CI 1.64-7.05), KIR2DS2 (p < 0.0001 p_c = 0.0014; OR = 2.51 95%CI 1.58-4.00), and KIR2DS3 (p < 0.0001 pc = 0.0014; OR = 2.57 95%CI 1.63-4.05). The joint analysis of KIR2DL2 and KIR2DS2 with their HLA-C^Asp80 ligand revealed an association of both combinations with a predisposition to HCV infection (Table 1). However, after correction for multiple testing the association with KIR2DS2+HLA-C^Asp80 was no longer statistically significant.

Since KIR2DL2 was already reported as associated with chronic hepatitis C, and both KIR2DS2 and KIR2DS3 have been described as being in linkage disequilibrium with KIR2DL2 (Single et al., 2008), the association of both activating genes with chronic hepatitis C were re-tested using a subsample of KIR2DL2 positive controls (257 individuals) and patients (91). The associations remained significant for both KIR2DS2 (p = 0.0083 pc = 0.1162; OR = 2.06; 95%CI = 1.2-3.4) and KIR2DS3 (p = 0.0008 pc = 0.0112; OR = 2.37; 95%CI = 1.4-3.9), and the KIR profile composed of all three genes was also highly significant, showing an even higher OR (p < 0.0001 pc = 0.0014; OR = 3 95%CI 1.8-4.7). In addition, the frequency of AA profiles was higher in controls (8%) than in patients (2%). Nonetheless, the statistical significance of this association was modest (p = 0.0267; OR = 0.222 95%CI 0.05-0.95), probably due to the absence of the KIR2DL2, KIR2DS2, and KIR2DS3 genes in the haplogroup A profile.

These associations, in particular those involving KIR2DS2 and KIR2DS3, were further corroborated by differences in the number of activating genes. Hence, the average number of activating receptors in patients (3.94) was significantly higher than in controls (3.16; Mann-Whitney Z(U) = 4.07, p < 0.0001).

KIR genes and therapeutic response

Concerning the response to treatment, 43% of the patients had SVR. However, when stratifying according to virus genotype, SVR was observed among 43% of the genotype 1 infected patients and among 20% of the genotype 3 infected patients. Among the genotype 1 infected ones, the KIR2DS5 gene was more frequent in the SVR subsample (p = 0.0261 pc = 0.3654; OR = 0.184 95%CI 0.042-0.795).

Ethnic heterogeneity between controls and patients

The average proportions of European, African and Amerindian ancestries were identical in the patient (0.49, 0.21 and 0.28) and control group (0.5, 0.21 and 0.28, respectively). This was also the case for the SVR (0.48, 0.22 and 0.29) and NR (0.49, 0.22 and 0.286) subsamples.

Discussion

The association of the presence of the KIR2DL2 gene with chronic hepatitis C, observed in our study, agrees with what is established in the literature. Moreover, the association of the combination KIR2DL2+HLA-C^Asp80 with HCV infection corroborates previous studies (Vidal-Castiñeira et al., 2010; Vejbaesya et al., 2011) and highlights the role of this receptor in the predisposition to HCV infection. This has been interpreted as the result of the higher affinity of KIR2DL2 for its HLA-C ligand when compared to the affinity of KIR2DL3 for the same ligand, which confers higher inhibitory activity against the cytolytic function of natural killer (NK) cells (Khakoo et al., 2004; Parham, 2005). The presence of KIR2DL2 is, thus, used as a marker for indicating a worse prognostic for the hepatitis infection followed by chronification and HCV persistence (Khakoo et al., 2004; Knapp et al., 2010; Romero et al., 2008).

The association of KIR2DS2 and KIR2DS3 with chronic hepatitis C is not consensual. For example, Marangon et al. (2011) did not find any statistically significant association with KIR, despite the fact that KIR2DS2 and KIR2DS3 showed slightly higher frequencies in patients. Nonetheless, viral non-clearance turned out to be associated with KIR2DS2 (Paladino et al., 2007) and KIR2DS3 (Dring et al., 2011) in different populations. Such disagreement could theoretically be attributed to substructuring and heterogeneous linkage disequilibrium (LD) patterns across different populations. However, Single et al. (2008) showed that LD patterns are homogeneous across different regions of the world, making population substructuring the more probable cause of this lack of consensus. Single et al. (2008) reported a strong positive LD between KIR2DL2 and KIR2DS2 worldwide and a weak but constant positive LD of KIR2DS3 with both KIR2DL2 and KIR2DS2.Soas to investigate the influence of these LD patterns on the associations we found herein, and to discriminate possible secondary or non-independent associations we tested whether the association of KIR2DS2 and KIR2DS3 with chronic infection was independent of the presence of KIR2DL2. As it turned out, KIR2DS2 and KIR2DS3 associations remained indeed significant in a subsample of the KIR2DL2 carriers, ruling out the influence of KIR2DL2 in the KIR2DS2 and KIR2DS3 associations. Additionally, the association of the profiles resulting from the presence of these three genes highly significant, reinforcing the independence of the associations observed for those genes separately. The AA profile was also associated with a protection against HCV infection. It is worthy of note that the KIR2DL2, KIR2DS2 and KIR2DS3 genes are absent in AA. The strength of association with these genes and/or with a combination of these is far more significant than those observed for AA and non-AA profiles. Thus it is inferred that the association with AA merely reflects the role of KIR2DL2, KIR2DS2, and KIR2DS3.

The higher frequencies of the activating KIR2DS2 and KIR2DS3 gene products in patients could also be reflected in the mean number of activating receptors, which was greater in patients than in controls.

With respect to the response to therapy, the presence of KIR2DS5 was associated with SVR. Interestingly, the presence of this gene was associated with viral clearance in a previous study (Paladino et al., 2007). In addition, KIR2DS5 was not the sole gene related with viral clearance that was also associated with SVR; particularly the presence of KIR2DL3 was also reported as associated with SVR (Knapp et al., 2010; Vidal-Castiñeira et al., 2010). Hence, KIR with a stimulatory trend and involved in the HCV clearance could also play a key role in the response to therapy. In agreement with this idea, the inhibitory KIR2DL5 was associated with non-response in a recent study (Carneiro et al., 2010).

Population stratification is a common source of bias in association studies. Only one previous study (Romero et al., 2008) reported an association between KIR polymorphisms and HCV clearance while controlling for population substructuring. In our study we used a rigorous control to exclude the influence of the stratification in the associations with chronic infection and response to therapy, clearly showing that all samples and subsamples were practically identical in their ethnic composition. Thus the ancestry analyses also allowed testing whether ethnicity had any influence on the response to therapy. Data reported by Ge et al. (2009) suggested that African descendents have the lowest rate of response to therapy and East Asians the highest ones, while European descendents and Hispanics showed intermediary rates. Our results did not show any evidence of differences in the average ethnic proportions of African, European, and Amerindian in both SVR and non responsive subsamples. Non-genetic host factors could explain such disagreement, like socio-economic differences among the samples (Ge et al., 2009). Our study carefully controlled for such bias. Because treatment in Brazil is public and free of costs for the patient and all the patients were evaluated by a defined number of physicians, it was implicitly controlled for both socio-economic level and access to health care.

In conclusion, our study strengthens the reports on the association of the KIR2DL2 gene with chronic hepatitis C and corroborates previous reports on the association of KIR genes and their profiles. Moreover, KIR2DS5 was associated for the first time with SVR. The analysis of the ethnic composition of the samples ruled out any population substructuring as a possible source of bias, anf furthermore showed that there were no interethnic differences in response to therapy.

Acknowledgments

The present study was financially supported by a PPSUS-MS/CNPq/FAPESPA/SESPA research grant. We are also very grateful to all patients for participating in the study and Ms. Dayse Alencar for her helpful technical assistance.

Internet Resources

Received: April 11, 2012

Accepted: October 31, 2012.

Associate Editor: Maria Rita Passos Bueno

License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

• Ayres M, Salzano FM, Franco MHLP and Barros RMS (1976) The association of blood groups, ABH secretion, haptoglobins and hemoglobins with filariasis. Hum Hered 26:105-109.
• Bode JG, Brenndörfer ED and Häussinger D (2008) Hepatitis C virus (HCV) employs multiple strategies to subvert the host innate antiviral response. Biol Chem 389:1283-1298.
• BRASIL, Ministério da Saúde (2011) Protocolo Clínico e Diretrizes Terapêuticas para Hepatite Viral C e Coinfecções. Série A. Normas e Manuais Técnicos. Secretaria de Vigilância em Saúde, Brasília, pp 1-84.
• Carneiro VL, Lemaire DC, Bendicho MT, Souza SL, Cavalcante LN, Angelo AL, Freire SM, Mendes CM, Santana N, Lyra LG, et al. (2010) Natural killer cell receptor and HLA-C gene polymorphisms among patients with hepatitis C: A comparison between sustained virological responders and non-responders. Liver Int 30:567-573.
• Dring MM, Morrison MH, McSharry BP, Guinan KJ, Hagan R, Irish HCV Research Consortium, O'Farrelly C and Gardiner CM (2011) Innate immune genes synergize to predict increased risk of chronic disease in hepatitis C virus infection. Proc Natl Acad Sci USA 108:5736-5741.
• Ge D, Fellay J, Thompson AJ, Simon JS, Shianna KV, Urban TJ, Heinzen EL, Qiu P, Bertelsen AH, Muir AJ, et al. (2009) Genetic variation in IL28B predicts hepatitis C treatmentinduced viral clearance. Nature 461:399-401.
• Gonzalez-Galarza FF, Christmas S, Middleton D and Jones AR (2011) Allele frequency net: A database and online repository for immune gene frequencies in worldwide populations. Nucleic Acids Res 39:D913-D919.
• Grünhage F and Nattermann J (2010) Viral hepatitis: Human genes that limit infection. Best Pract Res Clin Gastroenterol 24:709-723.
• Guerreiro JF and Chautard-Freire-Maia EA (1988) ABO and blood groups, migration and estimates of racial admixture for the population of Belem, State of Para, Brazil. Rev Bras Genet 11:171-186.
• Hong HA, Loubser AS, de Assis Rosa D, Naranbhai V, Carr W, Paximadis M, Lewis DA, Tiemessen CT and Gray CM (2011) Killer-cell immunoglobulin-like receptor genotyping and HLA killer-cell immunoglobulin-likereceptor-ligand identification by real-time polymerase chain reaction. Tissue Antigens 78:185-194.
• Irshad M, Khushboo I and Singh S (2008) Hepatitis C Virus (HCV): A review of immunological aspects. Int Rev Immunol 27:497-517.
• Khakoo SI, Thio CL, Martin MP, Brooks CR, Gao X, Astemborski J, Cheng J, Goedert JJ, Vlahov D, Hilgartner M, et al. (2004) HLA and NK cell inhibitory receptor genes in resolving hepatitis C virus infection. Science 305:872-874.
• Knapp S, Warshow U, Hegazy D, Brackenbury L, Guha IN, Fowell A, Little AM, Alexander GJ, Rosenberg WM, Cramp ME, et al. (2010) Consistent beneficial effects of killer cell immunoglobulin-like receptor 2DL3 and group 1 human leukocyte antigen-C following exposure to hepatitis C virus. Hepatology 51:1168-1175.
• Liu CH, Liu CJ, Lin CL, Liang CC, Hsu SJ, Yang SS, Hsu CS, Tseng TC, Wang CC, Lai MY, et al. (2008) Pegylated interferon-alpha-2a plus ribavirin for treatment-naïve Asian patients with hepatitis C virus genotype 1 infection: A multicenter, randomized controlled trial. Clin Infect Dis 47:1260-1269.
• Marangon AV, Silva GF, de Moraes CF, Grotto RM, Pardini MI, de Pauli DS, Sell AM, Visentainer JE and Moliterno RA (2011) KIR genes and their human leukocyte antigen ligands in the progression to cirrhosis in patients with chronic hepatitis C. Hum Immunol 72:1074-1078.
• Martin MP, Nelson G, Lee JH, Pellett F, Gao X, Wade J, Wilson MJ, Trowsdale J, Gladman D and Carrington M (2002) Cutting edge: Susceptibility to psoriatic arthritis: influence of activating Killer Ig-like Receptor genes in the absence of specific HLA-C Alleles 1. J Immunol 169:2818-2822.
• Martins T, Narciso-Schiavon JL and Schiavon LL (2011) Epidemiologia da infecção pelo virus da hepatite C. Rev Assoc Med Bras 57:107-112.
• Mello LA, Melo-Junior MR, Albuquerque ACC and Coelho MRCD (2007) Soroprevalência da hepatite C em pacientes hemodialisados. Rev Soc Bras Med Trop 40:290-294.
• Miranda EC, Moia L de J, Amaral Ido S, Barbosa MS, Conde SR, de Araújo MT, da Cruz Edo R, Demachki S, Bensabath G, Soares MC (2004) Hepatitis B and C virus infection and the hepatocellular carcinoma in the East Amazon, Brazil. Rev Soc Bras Med Trop 37:47-51.
• Montes-Cano MA, Caro-Oleas JL, Romero-Gómez M, Diago M, Andrade R, Carmona I, Aguilar Reina J, Núñez-Roldán A and González-Escribano MF (2005) HLA-C and KIR genes in hepatitis C virus infection. Hum Immunol 66:1106-1109.
• Paladino N, Flores AC, Marcos CY, Fainboim H, Theiler G, Arruvito L, Williams F, Middleton D and Fainboim L (2007) Increased frequencies of activating natural killer receptors are associated with liver injury in individuals who do not eliminate hepatitis C virus. Tissue Antigens 69:109-111.
• Paraná R, Vitvitsk L and Pereira JE (2008) Hepatotropic viruses in the Brazilian Amazon: A health threat. Braz J Infect Dis 12:253-256.
• Parham P (2005) MHC class I molecules and KIRs in human history, health and survival. Nat Rev Immunol 5:201-214.
• Pedroza LS, Sauma MF, Vasconcelos JM, Takeshita LY, Ribeiro-Rodrigues EM, Sastre D, Barbosa CM, Chies JA, Veit TD, Lima CP, et al. (2011) Systemic lupus erythematosus: Association with KIR and SLC11A1 polymorphisms, ethnic predisposition and influence in clinical manifestations at onset revealed by ancestry genetic markers in an urban Brazilian population. Lupus 20:265-273.
• Romero V, Azocar J, Zúñiga J, Clavijo OP, Terreros D, Gu X, Husain Z, Chung, RT, Amos C and Yunis EJ (2008) Interaction of NK inhibitory receptor genes with HLA-C and MHC class II alleles in hepatitis c virus infection outcome. Mol Immunol 45:2429-2436.
• Santos NP, Ribeiro-Rodrigues EM, Ribeiro-Dos-Santos AK, Pereira R, Gusmão L, Amorim A, Guerreiro JF, Zago MA, Matte C, Hutz MH, et al. (2010) Assessing individual interethnic admixture and population substructure using a 48insertion-deletion (INSEL) ancestry-informative marker (AIM) panel. Hum Mutat 31:184-190.
• Sambrook J, Fritch EF and Maniatis T (1989) Molecular cloning: A Laboratory Manual. 2^nd edition. Cold Spring Harbor Laboratory, Cold Spring Harbor.
• Schneider H and Salzano FM (1979) Gm allotypes and racial admixture in two Brazilian populations. Hum Genet 53:101-105.
• Sham PC and Curtis D (1995) Monte Carlo tests for associations between diseases and alleles at highly polymorphic loci. Ann Hum Genet 59:97-105.
• Single RM, Martin MP, Meyer D, Gao X and Carrington M (2008) Methods for assessing gene content diversity of KIR with examples from a global set of populations. Immunogenetics 60:711-725.
• Vidal-Castiñeira JR, López-Vázquez A, Díaz-Peña R, Alonso-Arias R, Martínez-Borra J, Pérez R, Fernández-Suárez J, Melón S, Prieto J, Rodrigo L, et al. (2010) Effect of killer immunoglobulin-like receptors in the response to combined treatment in patients with chronic hepatitis C virus infection. J Virol 84:475-481.
• Vejbaesya S, Nonnoi Y, Tanwandee T and Srinak D (2011) Killer cell immunoglobulin-like receptors and response to antiviral treatment in Thai patients with chronic hepatitis C virus genotype 3a. J Med Virol 83:1733-1737.
• Software package for using multi-locus genotype data to investigate population structure, STRUCTURE ver. 3.2, http://pritch.bsd.uchicago.edu/software.html

Publication Dates

• Publication in this collection
  28 Feb 2013
• Date of issue
  2013

History

• Received
  11 Apr 2012
• Accepted
  31 Oct 2012