Published online Aug 14, 2006. doi: 10.3748/wjg.v12.i30.4788
Revised: April 15, 2006
Accepted: April 24, 2006
Published online: August 14, 2006
Genetic epidemiology researches such as twin studies, family-clustering of hepatitis B virus (HBV) infection studies and ethnic difference studies have provided the evidence that host genetic factors play an important role in determining the outcome of HBV infection. The opening questions include which human genes are important in infection and how to find them. Though a number of studies have sought genetic associations between HBV infection/persistence and gene polymorphisms, the candidate gene-based approach is clearly inadequate to fully explain the genetic basis of the disease. With the advent of new genetic markers and automated genotyping, genetic mapping can be conducted extremely rapid. This approach has been successful in some infectious diseases. Linkage analysis can find host genes susceptible to HBV and is of great clinical importance.
- Citation: He YL, Zhao YR, Zhang SL, Lin SM. Host susceptibility to persistent hepatitis B virus infection. World J Gastroenterol 2006; 12(30): 4788-4793
- URL: https://www.wjgnet.com/1007-9327/full/v12/i30/4788.htm
- DOI: https://dx.doi.org/10.3748/wjg.v12.i30.4788
Hepatitis B virus (HBV) infection is a serious global health problem, with 2 billion people infected worldwide, and 350 million suffering from chronic HBV infection. HBV infection results in 500 000 to 1.2 million deaths per year caused by chronic hepatitis, cirrhosis, and hepatocellular carcinoma and is the 10th leading cause of death worldwide[1]. The mechanisms of persistent HBV infection are not fully understood, but they seem to involve several aspects and the genetic component, in particular, is still controversial[2]. Early studies by Blumberg et al[3] have also suggested a recessive mode of inheritance for HBV viral persistence, but this is perhaps an oversimplification giving the more recent advances in knowledge of the effect of maternal viral infection and the transmissibility of the virus[4].
Generally, exposure to HBV can cause a broad spectrum of infection[5]. Ninety to ninety-five percent of adults infected with HBV can eliminate the virus and only 5%-10% of them become chronic HBV carriers, 20%-30% of chronic HBV carriers develop chronic hepatitis B (CHB) and 5% of them develop liver cirrhosis and hepatocellular carcinoma in a long term of disease course. Some rare cases result in a fulminant infection in which the liver is rapidly overwhelmed and ultimately fails. What factors determine why one develops a life-threatening infection, whereas another carries HBV as a harmless commensal or limits the infection to a clinical trivial episode? There is evidence that host genetic factors play an important role in determining the outcome of HBV infection[6,7].
Studies of susceptibility to diseases in identical and non-identical twins are extremely useful in evaluating the importance of inherited vs environmental factors in disease susceptibility[8]. If the concordance rates for infection and clearance of HBV are significantly higher in monozygotic (MZ) than in dizygotic (DZ) twins, the process of HBV infection and persistence is more genetically decisive. Lin et al[9] studied 289 pairs of MZ twins, 102 pairs of DZ twins and 375 pairs of age-sex-matched singleton controls and found that there is a significant difference in the concordance of HBV infection between MZ and DZ twins and controls, suggesting that the genetic influence occurs in response to HBV infection. Xu et al[10] also found that not only the concordance rate of infection, but the concordance of clinical phenotype and serological patterns between MZ and control groups is significantly different, indicating that genetic factors influence not only susceptibility to infection but also clinical outcome.
Genetic factors not only influence host response to HBV infection, but also affect the response to HB vaccine. Hohler et al[11] prospectively studied and vaccinated 202 twin pairs with a combined recombinant HBsAg vaccine and found that the heritability of anti-HBs immune response is 0.61, which means that 60% of the phenotypic variance of responsiveness to HB vaccine can be explained by genetic effect and 40% by environmental effect.
Most of us do not inherit single-gene diseases. We all, however, inherit slightly different variants of each of our pairs of 30 000 genes. These differences may determine whether we are more or less likely to develop particular health problems or diseases than other people. Genes are shared within families. Because we inherit genes from our parents, a parent who has inherited a particular gene mutation generally means that each child has a fifty-fifty chance of having the same mutation. In fact, many cases of diseases not showing the clear inherited patterns of single-gene diseases, show family clustering patterns that are due, at least in part, to genetics. Substantial genetic epidemiology studies indicate that HBV spreads in families. The familial occurrence of HBV infection has been well established in some ethnic groups. Ohbayashi et al[12] have reported 3 Japanese families in which 36 of the 54 members are HBsAg positive. Of these, some are healthy carriers while others have liver cirrhosis and hepatocellular carcinoma. Similar observations have been reported in American[13], European[14] and Asian[15,16] continents.
This observed familial clustering may stem from inherited defects in specific genes, from shared environmental exposures among family members or from interaction between specific genetic and environmental factors. If a trait has a genetic basis, the relatives of affected individuals will be affected more frequently than the relatives of unaffected people, and the prevalence of disease decreases from monozygotic (MZ) twin to the first-, second- and third-degree relatives. If the disorder has an environmental basis only, the possibility of infection in each family member is equal[17]. Tong et al[18] reported that HBV markers are detected more frequently in blood relatives than in non-blood relatives of the index cases in family. Wang et al[19] also showed that HBsAg carrier rate decreases in the order of the first, second and third degree relatives, indicating that it is the defect gene shared by family members that produces the epidemiological characteristics of family-clustering HBV infection.
Another method used to investigate the role of host genetics in infectious diseases is to look for differences in clinical disease and immune response between different ethnic groups having equal exposure to the same pathogen.
Carrilho et al[20] determined the frequency of HBV markers of genetically related (consanguineous) and non-genetically related (non-consanguineous) Brazilian families of Asian origin and Western origin and found that the occurrence of HBsAg is significantly higher (P < 0.0001) in family members of Asian origin (81.8%) than in those of Western origin (36.5%), which is in line with the high HBsAg prevalence in Asian countries and the relatively low HBsAg prevalence in Western countries[21]. Though the Asians live in Brazilia, a country with a low HBsAg prevalence, and the environment has changed, disease-related genes remain shared within the ethnic group, indicating that Asians possess the HBV susceptible gene(s). This is why they are more susceptible to HBV.
Tong et al[18] tested family members of Asian and non-Asian patients for HBV markers, and found that Asian family members have a significant increase in HBsAg (34% higher) and antibodies to HBsAg or to hepatitis B core antigen (50% higher) compared with the non-Asian family members. Moreover, birthplace, either in Asia or in United States, does not influence the frequency of antigenemia. In China, the prevalence of HBsAg is 19.1% in Mongoloid populations[22], and 10% in Chinese Han populations in the same area. These studies have provided important insights into the fact that different ethnics in the same region have different HBV epidemiological characteristics and the same races in the different region share the same prevalence of HBV markers, indicating that genetic factors may play a role in maintaining the frequency of HBV infection and persistence. Moreover, molecular epidemiology study has identified several genetically determined differences between races.
Taken together these epidemiological data provide strong evidence for a genetic predisposition to HBV infection and raise the questions of which human genes are important in infection and how to find them.
Analysis of the human genome has focused primarily on variations that occur between people in their DNA sequence[23]. Because these differences contribute to the differences in our susceptibility to developing specific diseases, naturally occurring genetic variations in the human genome are frequently found (about every 3 to 500 bp) most often in the form of a change from one base to another, namely a single nucleotide polymorphism (SNP)[24]. Other common forms of variation include microsatellite where a short sequence, usually a dinucleotide repeat is bound, so that one person might have 10 and 12 copies of the repeating motif and others have 9 and 11 copies. If the repeating sequence is longer, the motif is known as a minisatellite[25]. They are widely used to determine similarities and differences of human and hunter disease-related genes. Because this kind of genetic variations often varies between individuals (i.e., it is highly polymorphic), microsatellites are particularly informative in the genetic sense[26]. Analysis of genetic susceptibility to HBV infection aims to link these DNA variations (the genotype) with a particular HBV infection (the phenotype). HBV infection and clearance are complex traits[27], meaning that the genetic contribution to them is not inherited in a simple Mendelian manner and several polymorphic genes exert effects on the outcome[28]. Many possible approaches to mapping the genes underlying complex traits fall broadly into two categories: candidate gene- based association studies and genome-wide linkage studies[29].
Association studies compare the frequency of alleles or genotypes of a particular variant between disease cases and controls to link the genotype with the particular phenotype. Such studies are widely used to investigate inflammatory and infectious diseases. Repeat sequences, such as those of microsatellites, lend themselves less well to association studies because they are intrinsically unstable and may undergo considerable mutations over successive generations and disease-modifying polymorphisms may have arisen many hundreds of generations previously. SNPs, on the other hand, are stable, common and increasingly amenable to high throughput automated genotyping. A number of studies have sought genetic associations between HBV infection/persistence and gene polymorphisms (Tables 1 and 2).
Gene/loci | Population | Sample size | P value | Reference |
HLA A 0301 | Caucasian | 563 | 0.0005 | [30] |
HLA -DRB1 1302 | Caucasian | 563 | 0.03 | [30] |
HLA-DRB1 1302 | Gambian | 638 | 0.012 | [31] |
HLA-DRB1 1101/1104 | Chinese | 190 | 0.0145 | [32] |
HLA-DQA1 0301 | Chinese | 190 | 0.0167 | [32] |
HLA-DR13 | Korean | 1272 | < 0.001 | [33] |
TNF-alpha-238 GG genotype | Chinese | 895 | 0.041 | [34] |
TNF-alpha-308 A | Korean | 1400 | < 0.001 | [35] |
TNF-alpha-857 TT genotype | Chinese | 355 | 0.02 | [36] |
CTLA-4-1722 C | 0.06 | [37] | ||
CTLA-4+49 G | 0.02 | [37] | ||
CCR5 59029 G allele | Chinese | 377 | 0.001 | [38] |
Gene/loci | Population | Sample size | P value | Reference |
HLA B 08 | Caucasian | 563 | 0.03 | [30] |
HLA B 44-Cw 1601 | Caucasian | 563 | 0.02 | [30] |
HLA B 44-Cw 0501 | Caucasian | 563 | 0.006 | [30] |
HLA-DRB1 0301 | Chinese | 190 | 0.0074 | [32] |
HLA-DRB1 1301/2 | [39] | |||
HLA-DR6 | Korean | 1272 | < 0.001 | [33] |
HLA-DQA1 0501 | Chinese | 190 | 0.0157 | [32] |
HLA -DQA1 0501 | African American | 91 | 0.05 | [40] |
HLA -DQB1 0301 | African American | 91 | 0.01 | [40] |
HLA-DQB1 0301 | Chinese | 190 | 0.0075 | [32] |
TNF-alpha-863 A | Korean | 1400 | [35] | |
TNF-alpha-238 GG genotype | Chinese | 355 | 0.02 | [36] |
TNF-alpha-238 GG genotype | Chinese | 455 | 0.02 | [41] |
TNF-alpha-857 CC genotype | Chinese | 895 | < 0.001 | [34] |
IFN-gamma A/A genotype | 77 | [42] | ||
CTLA-4+6230 A | 0.04 | [37] | ||
CCR5 59029 A allelic genotype | Chinese | 377 | 0.002 | [38] |
ESR1 29 T/T genotype | Chinese | 2318 | < 0.001 | [43] |
The huge variation in clinical response to identical infecting pathogens is due to the combined effects of genetic variation both in the infecting pathogen and in the infected host[44]. Its ability to mount an effective immune response to infection is a powerful evolutionary selection pressure, contributing to human genetic diversity. The advantage of a flexible immune response, allowing an efficient response to diverse pathogens without damage to the host, is reflected in marked genetic variability of immune-related genes among (both in DNA sequence and in protein structure) in the entire human genome[45].
The prototype region for genetic association studies is the human leukocyte antigen (HLA) loci involved in antigen processing and presentation. HLA associated with infections such as AIDS[46], tuberculosis[47], leprosy[48], malaria[49] and persistence of hepatitis-C virus[50] has been well-described. This is most obvious within the HLA region, where functional variation has arisen as a strategy to combat pathogen antigenic diversity. Indeed in HBV infection, maximal HLA variation appears to have a direct protective effect, individuals with the most different alleles at class II HLA loci have the slowest HBV disease progression and the lowest mortality (a “heterozygous advantage”)[51]. Conversely, lack of HLA diversity (a “homozygous disadvantage”) may increase the susceptibility to HBV infection among isolated communities[52]. The extensive linkage disequilibrium across some HLA regions makes it difficult to localize specific disease-associated polymorphisms, although the HLA allelic association has allowed identification of critically pathogenic epitopes in some diseases[39], which might act as potential vaccine candidates.
Disease associations involving loci outside the HLA region are also valuable in identifying the functional molecular basis underlying infectious disease resistance. For example, HIV uses various chemokine receptors as cofactors for CD4 binding to gain entry into human leukocytes. A functional polymorphism of the chemokine receptor CCR5, which is essential for HIV entry into macrophages, results in a truncated nonfunctional protein that confers highly significant protection against HIV susceptibility in the homozygous state and slows disease progression in heterozygotes[53,54]. Chang et al[38] have developed the association between CCR5 and HBV infection, though the biological process and significance in HBV infection need to be further studied.
The number of studies seeking to identify genes that influence susceptibility to persistent HBV infection has greatly increased since we entered the “post-genomic” era. These studies are fuelled by the unlimited availability of SNPs, the relative ease of performing genotyping assays based on PCR technology, and the desire to identify major disease susceptibility gene(s). Literature is now littered with unreproducible genetic association studies that confuse the readers and have an understandable impact on the willingness of editors to accept further manuscripts for publication[27]. Nature Genetics published an editorial in 1999 that set out a list of criteria for genetic association studies[55]: plausible biological context, rigorous phenotypic selection (case selection), independent replication, rigorous genotyping, low P values, appropriate statistical analysis, and transmission disequilibrium test. Up to now, few candidate genes can fully meet the criteria.
Candidate gene-based association studies rely on having predicted the identity of the correct gene or genes, usually on the basis of biological hypotheses or the location of the candidate within a previously determined region of linkage[56]. Even if these hypotheses are broad (for example, involving the testing of all genes in the insulin-signaling pathway), they will, at best, identify only a fraction of genetic risk factors for diseases in which the pathophysiology is relatively well understood. When the fundamental physiological defects of a disease are unknown, the candidate-gene approach is clearly inadequate to fully explain the genetic basis of the disease[29]. In 2004, Hepatology editor appealed for less hypothesis-driven association studies that result in a negative or weak correlation[27].
Linkage is the tendency for genes and other genetic markers to be inherited together because of their location near one another on the same chromosome. Linkage studies classically seek to identify microsatellite markers that are inherited more commonly than expected by siblings who have the disease of interest (“affected sibling pairs”)[57]. Genetic linkage analysis is a powerful tool to detect the chromosomal location of disease genes[58]. A linkage study is to use a large number of families to look for regions of linkage to a disease, which suggest the presence of loci containing genes that may predispose to this disease. Linkage studies have the advantage of making no supposition about which genes might be involved in a disease, in that they merely identify stretches of chromosome around the microsatellite markers and can be used to examine the entire genome (a “whole genome screen”)[58].
With the advent of new genetic markers and automated genotyping, genetic mapping can be conducted extremely rapid[28,59]. This approach has been successful in some infectious diseases (Table 3), but no report on such similar scans for HBV viral persistence is available. Recently a research team of Xi’an Jiaotong University has collected 327 HBV-infected subjects of 32 family pedigrees from a remote village (data not published), which makes it possible to find chromosome regions containing determinant(s) of persistent HBV infection. Their results will be reported soon.
Diseases | Location of predisposing genes | Reference |
H pylori | IFNGR1 | [60] |
Plasmodium falciparum | 5q31-q33, MHC | [61-64] |
Kala-azar | 22q12, Imr2, Imr1 | [65] |
Tuberculosis | 15q and Xq | [66] |
Schistosoma mansoni | 5q31-q33 | [67] |
Leprosy | 10p13, 6q25 | [68, 69] |
Studies of the genetic determinants for HBV susceptibility can reveal fundamental data concerning the human immune system. The ultimate goal of such studies is the identification of critical immunologic mechanisms in the disease process to develop specific therapeutic interventions. As the precise immune deficiency is identified, it may be possible to “bypass” the identified immune deficiency with a specific therapy.
A specific genetic defect has been identified in rarer single gene defects, which may offer preconception genetic counseling to affected families. In complex diseases it might ultimately be possible to identify patients whose risk factors make them candidates for targeted therapies. Once the genotypic markers for a poor outcome of HBV infections are found, they in combination with rapid genotyping technology may allow more intensive therapies for those patients who are at the greatest risk of poor outcome and death[70,71]. The potential to target drug treatment, both in terms of identifying patients most likely to benefit clinically and in terms of predicting those who are susceptible to either favorable or adverse pharmacologic outcome, is of great importance. It is conceivable that in the future our understanding of host genetics will largely influence our therapeutic response to HBV-infected patients and determine our choice of both preventive and curative interventions.
S- Editor Wang J L- Editor Wang XL E- Editor Bai SH
1. | Rehermann B, Nascimbeni M. Immunology of hepatitis B virus and hepatitis C virus infection. Nat Rev Immunol. 2005;5:215-229. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1202] [Cited by in F6Publishing: 1188] [Article Influence: 62.5] [Reference Citation Analysis (0)] |
2. | Owada T, Matsubayashi K, Sakata H, Ihara H, Sato S, Ikebuchi K, Kato T, Azuma H, Ikeda H. Interaction between desialylated hepatitis B virus and asialoglycoprotein receptor on hepatocytes may be indispensable for viral binding and entry. J Viral Hepat. 2006;13:11-18. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 1.2] [Reference Citation Analysis (0)] |
3. | Blumberg BS, Friedlaender JS, Woodside A, Sutnick AI, London WT. Hepatitis and Australia antigen: autosomal recessive inheritance of susceptibility to infection in humans. Proc Natl Acad Sci U S A. 1969;62:1108-1115. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 103] [Cited by in F6Publishing: 119] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
4. | Hann HW, Kim CY, London WT, Whitford P, Blumberg BS. Hepatitis B virus and primary hepatocellular carcinoma: family studies in Korea. Int J Cancer. 1982;30:47-51. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 51] [Cited by in F6Publishing: 54] [Article Influence: 1.3] [Reference Citation Analysis (0)] |
5. | Ganem D, Prince AM. Hepatitis B virus infection--natural history and clinical consequences. N Engl J Med. 2004;350:1118-1129. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1700] [Cited by in F6Publishing: 1666] [Article Influence: 83.3] [Reference Citation Analysis (0)] |
6. | Frodsham AJ. Host genetics and the outcome of hepatitis B viral infection. Transpl Immunol. 2005;14:183-186. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 36] [Cited by in F6Publishing: 42] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
7. | Schaefer S. Hepatitis B virus: significance of genotypes. J Viral Hepat. 2005;12:111-124. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 158] [Cited by in F6Publishing: 157] [Article Influence: 8.3] [Reference Citation Analysis (0)] |
8. | vB Hjelmborg J, Iachine I, Skytthe A, Vaupel JW, McGue M, Koskenvuo M, Kaprio J, Pedersen NL, Christensen K. Genetic influence on human lifespan and longevity. Hum Genet. 2006;119:312-321. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 306] [Cited by in F6Publishing: 288] [Article Influence: 16.0] [Reference Citation Analysis (0)] |
9. | Lin TM, Chen CJ, Wu MM, Yang CS, Chen JS, Lin CC, Kwang TY, Hsu ST, Lin SY, Hsu LC. Hepatitis B virus markers in Chinese twins. Anticancer Res. 1989;9:737-741. [PubMed] [Cited in This Article: ] |
10. | Xu BY, Wang YM, Deng GH, Huang YP, Zhong LH, Liu GD, Tan ZX, Fan Y, Ding ST. [The primary comparative analysis between the host genetic factors and their relationships with clinical phenotype of HBV infected twins]. Zhonghua Yi Xue Za Zhi. 2004;84:189-193. [PubMed] [Cited in This Article: ] |
11. | Höhler T, Reuss E, Evers N, Dietrich E, Rittner C, Freitag CM, Vollmar J, Schneider PM, Fimmers R. Differential genetic determination of immune responsiveness to hepatitis B surface antigen and to hepatitis A virus: a vaccination study in twins. Lancet. 2002;360:991-995. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 147] [Cited by in F6Publishing: 145] [Article Influence: 6.6] [Reference Citation Analysis (0)] |
12. | Obayashi A, Okochi K, Mayumi M. Familial clustering of asymptomatic carriers of Australia antigen and patients with chronic liver disease or primary liver cancer. Gastroenterology. 1972;62:618-625. [PubMed] [Cited in This Article: ] |
13. | Motta-Castro AR, Martins RM, Yoshida CF, Teles SA, Paniago AM, Lima KM, Gomes SA. Hepatitis B virus infection in isolated Afro-Brazilian communities. J Med Virol. 2005;77:188-193. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 51] [Cited by in F6Publishing: 55] [Article Influence: 2.9] [Reference Citation Analysis (0)] |
14. | Bosch J, Brugera M, Rodes J. Familial spread of type-B hepatitis. Lancet. 1973;2:457. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.1] [Reference Citation Analysis (0)] |
15. | Beasley RP, Hwang LY, Stevens CE, Lin CC, Hsieh FJ, Wang KY, Sun TS, Szmuness W. Efficacy of hepatitis B immune globulin for prevention of perinatal transmission of the hepatitis B virus carrier state: final report of a randomized double-blind, placebo-controlled trial. Hepatology. 1983;3:135-141. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 195] [Cited by in F6Publishing: 209] [Article Influence: 5.1] [Reference Citation Analysis (0)] |
16. | Lin JB, Lin DB, Chen SC, Chen PS, Chen WK. Seroepidemiology of hepatitis A, B, C, and E viruses infection among preschool children in Taiwan. J Med Virol. 2006;78:18-23. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 0.7] [Reference Citation Analysis (0)] |
17. | Amundadottir LT, Thorvaldsson S, Gudbjartsson DF, Sulem P, Kristjansson K, Arnason S, Gulcher JR, Bjornsson J, Kong A, Thorsteinsdottir U. Cancer as a complex phenotype: pattern of cancer distribution within and beyond the nuclear family. PLoS Med. 2004;1:e65. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 207] [Cited by in F6Publishing: 217] [Article Influence: 10.9] [Reference Citation Analysis (0)] |
18. | Tong MJ, Weiner JM, Ashcavai MW, Redeker AG, Comparini S, Vyas GN. A comparative study of hepatitis B viral markers in the family members of Asian and non-Asian patients with hepatitis B surface antigen-positive hepatocellular carcinoma and with chronic hepatitis B infection. J Infect Dis. 1979;140:506-512. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 28] [Cited by in F6Publishing: 25] [Article Influence: 0.6] [Reference Citation Analysis (0)] |
19. | Wang WJ, Xu HW, Men BY. [A genetic epidemiologic study on HBsAg chronic carriers]. Zhonghua Liu Xing Bing Xue Za Zhi. 1996;17:148-151. [PubMed] [Cited in This Article: ] |
20. | Carrilho FJ, Ono-Nita SK, Cardoso RA, Cancado EL, Pinho JR, Alves VA, Da Silva LC. A prospective study of hepatitis B virus markers in patients with chronic HBV infection from Brazilian families of Western and Asian origin. Braz J Med Biol Res. 2005;38:1399-1408. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 0.4] [Reference Citation Analysis (0)] |
21. | Custer B, Sullivan SD, Hazlet TK, Iloeje U, Veenstra DL, Kowdley KV. Global epidemiology of hepatitis B virus. J Clin Gastroenterol. 2004;38:S158-S168. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 381] [Cited by in F6Publishing: 394] [Article Influence: 19.7] [Reference Citation Analysis (0)] |
22. | Zhao SM, Li HC, Lou H, Lu XX, Yu XF, Gao DH, Hu J, Chiba H, Takezaki T, Takeshita H. High Prevalence of HBV in Tibet, China. Asian Pac J Cancer Prev. 2001;2:299-304. [PubMed] [Cited in This Article: ] |
23. | Cavalli-Sforza LL. The Human Genome Diversity Project: past, present and future. Nat Rev Genet. 2005;6:333-340. [PubMed] [Cited in This Article: ] |
24. | Smith C. Genomics: SNPs and human disease. Nature. 2005;435:993. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 0.6] [Reference Citation Analysis (0)] |
25. | Lin J, Liu KY. Linkage and association analyses of microsatellites and single-nucleotide polymorphisms in nuclear families. BMC Genet. 2005;6 Suppl 1:S25. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.2] [Reference Citation Analysis (0)] |
26. | Badzioch MD, Goode EL, Jarvik GP. The role of parametric linkage methods in complex trait analyses using microsatellites. BMC Genet. 2005;6 Suppl 1:S48. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 0.2] [Reference Citation Analysis (0)] |
27. | Thursz M. Pros and cons of genetic association studies in hepatitis B. Hepatology. 2004;40:284-286. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 0.7] [Reference Citation Analysis (0)] |
28. | Newton-Cheh C, Hirschhorn JN. Genetic association studies of complex traits: design and analysis issues. Mutat Res. 2005;573:54-69. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 212] [Cited by in F6Publishing: 184] [Article Influence: 9.7] [Reference Citation Analysis (0)] |
29. | Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat Rev Genet. 2005;6:95-108. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1893] [Cited by in F6Publishing: 1747] [Article Influence: 91.9] [Reference Citation Analysis (0)] |
30. | Thio CL, Thomas DL, Karacki P, Gao X, Marti D, Kaslow RA, Goedert JJ, Hilgartner M, Strathdee SA, Duggal P. Comprehensive analysis of class I and class II HLA antigens and chronic hepatitis B virus infection. J Virol. 2003;77:12083-12087. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 101] [Cited by in F6Publishing: 111] [Article Influence: 5.3] [Reference Citation Analysis (0)] |
31. | Thursz MR, Kwiatkowski D, Allsopp CE, Greenwood BM, Thomas HC, Hill AV. Association between an MHC class II allele and clearance of hepatitis B virus in the Gambia. N Engl J Med. 1995;332:1065-1069. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 316] [Cited by in F6Publishing: 309] [Article Influence: 10.7] [Reference Citation Analysis (0)] |
32. | Jiang YG, Wang YM, Liu TH, Liu J. Association between HLA class II gene and susceptibility or resistance to chronic hepatitis B. World J Gastroenterol. 2003;9:2221-2225. [PubMed] [Cited in This Article: ] |
33. | Ahn SH, Han KH, Park JY, Lee CK, Kang SW, Chon CY, Kim YS, Park K, Kim DK, Moon YM. Association between hepatitis B virus infection and HLA-DR type in Korea. Hepatology. 2000;31:1371-1373. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 97] [Cited by in F6Publishing: 103] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
34. | Li HQ, Li Z, Liu Y, Li JH, Dong JQ, Gao JR, Gou CY, Li H. Association of polymorphism of tumor necrosis factor-alpha gene promoter region with outcome of hepatitis B virus infection. World J Gastroenterol. 2005;11:5213-5217. [PubMed] [Cited in This Article: ] |
35. | Kim YJ, Lee HS, Yoon JH, Kim CY, Park MH, Kim LH, Park BL, Shin HD. Association of TNF-alpha promoter polymorphisms with the clearance of hepatitis B virus infection. Hum Mol Genet. 2003;12:2541-2546. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 106] [Cited by in F6Publishing: 117] [Article Influence: 5.6] [Reference Citation Analysis (0)] |
36. | Liu Y, Guo XH, Du T, Li JH, Zhu XL, Gao JR, Lu LP, Gou CY, Li Z, Li H. [Association of TNFA polymorphisms with the outcomes of HBV infection]. Zhonghua Yi Xue Yi Chuan Xue Za Zhi. 2005;22:406-410. [PubMed] [Cited in This Article: ] |
37. | Thio CL, Mosbruger TL, Kaslow RA, Karp CL, Strathdee SA, Vlahov D, O'Brien SJ, Astemborski J, Thomas DL. Cytotoxic T-lymphocyte antigen 4 gene and recovery from hepatitis B virus infection. J Virol. 2004;78:11258-11262. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 86] [Cited by in F6Publishing: 94] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
38. | Chang HY, Ahn SH, Kim DY, Shin JS, Kim YS, Hong SP, Chung HJ, Kim SO, Yoo WD, Han KH. [Association between CCR5 promoter polymorphisms and hepatitis B virus infection]. Korean J Hepatol. 2005;11:116-124. [PubMed] [Cited in This Article: ] |
39. | Godkin A, Davenport M, Hill AV. Molecular analysis of HLA class II associations with hepatitis B virus clearance and vaccine nonresponsiveness. Hepatology. 2005;41:1383-1390. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 101] [Cited by in F6Publishing: 111] [Article Influence: 5.8] [Reference Citation Analysis (0)] |
40. | Thio CL, Carrington M, Marti D, O'Brien SJ, Vlahov D, Nelson KE, Astemborski J, Thomas DL. Class II HLA alleles and hepatitis B virus persistence in African Americans. J Infect Dis. 1999;179:1004-1006. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 75] [Cited by in F6Publishing: 85] [Article Influence: 3.4] [Reference Citation Analysis (0)] |
41. | Lu LP, Li XW, Liu Y, Sun GC, Wang XP, Zhu XL, Hu QY, Li H. Association of -238G/A polymorphism of tumor necrosis factor-alpha gene promoter region with outcomes of hepatitis B virus infection in Chinese Han population. World J Gastroenterol. 2004;10:1810-1814. [PubMed] [Cited in This Article: ] |
42. | Ben-Ari Z, Mor E, Papo O, Kfir B, Sulkes J, Tambur AR, Tur-Kaspa R, Klein T. Cytokine gene polymorphisms in patients infected with hepatitis B virus. Am J Gastroenterol. 2003;98:144-150. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 167] [Cited by in F6Publishing: 188] [Article Influence: 9.0] [Reference Citation Analysis (0)] |
43. | Deng G, Zhou G, Zhai Y, Li S, Li X, Li Y, Zhang R, Yao Z, Shen Y, Qiang B. Association of estrogen receptor alpha polymorphisms with susceptibility to chronic hepatitis B virus infection. Hepatology. 2004;40:318-326. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 73] [Cited by in F6Publishing: 86] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
44. | Liu W, Kaiser MG, Lamont SJ. Natural resistance-associated macrophage protein 1 gene polymorphisms and response to vaccine against or challenge with Salmonella enteritidis in young chicks. Poult Sci. 2003;82:259-266. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 44] [Cited by in F6Publishing: 45] [Article Influence: 2.1] [Reference Citation Analysis (0)] |
45. | Prugnolle F, Manica A, Charpentier M, Guégan JF, Guernier V, Balloux F. Pathogen-driven selection and worldwide HLA class I diversity. Curr Biol. 2005;15:1022-1027. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 320] [Cited by in F6Publishing: 309] [Article Influence: 16.3] [Reference Citation Analysis (0)] |
46. | Stephens HA. HIV-1 diversity versus HLA class I polymorphism. Trends Immunol. 2005;26:41-47. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 58] [Cited by in F6Publishing: 62] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
47. | Delgado JC, Baena A, Thim S, Goldfeld AE. Aspartic acid homozygosity at codon 57 of HLA-DQ beta is associated with susceptibility to pulmonary tuberculosis in Cambodia. J Immunol. 2006;176:1090-1097. [PubMed] [Cited in This Article: ] |
48. | Shankarkumar U. HLA associations in leprosy patients from Mumbai, India. Lepr Rev. 2004;75:79-85. [PubMed] [Cited in This Article: ] |
49. | Lyke KE, Burges RB, Cissoko Y, Sangare L, Kone A, Dao M, Diarra I, Fernández-Vina MA, Plowe CV, Doumbo OK. HLA-A2 supertype-restricted cell-mediated immunity by peripheral blood mononuclear cells derived from Malian children with severe or uncomplicated Plasmodium falciparum malaria and healthy controls. Infect Immun. 2005;73:5799-5808. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
50. | Yang M, Zhu F, Sønderstrup G, Eckels DD. Recognition of endogenously synthesized HLA-DR4 restricted HCV epitopes presented by autologous EBV transformed B-lymphoblastoid cell line. Vaccine. 2005;23:951-962. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.2] [Reference Citation Analysis (0)] |
51. | Kiepiela P, Leslie AJ, Honeyborne I, Ramduth D, Thobakgale C, Chetty S, Rathnavalu P, Moore C, Pfafferott KJ, Hilton L. Dominant influence of HLA-B in mediating the potential co-evolution of HIV and HLA. Nature. 2004;432:769-775. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 623] [Cited by in F6Publishing: 622] [Article Influence: 32.7] [Reference Citation Analysis (0)] |
52. | Stear MJ, Innocent GT, Buitkamp J. The evolution and maintenance of polymorphism in the major histocompatibility complex. Vet Immunol Immunopathol. 2005;108:53-57. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 31] [Cited by in F6Publishing: 32] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
53. | Mack M, Pfirstinger J, Haas J, Nelson PJ, Kufer P, Riethmüller G, Schlöndorff D. Preferential targeting of CD4-CCR5 complexes with bifunctional inhibitors: a novel approach to block HIV-1 infection. J Immunol. 2005;175:7586-7593. [PubMed] [Cited in This Article: ] |
54. | Pakarasang M, Wasi C, Suwanagool S, Chalermchockcharoenkit A, Auewarakul P. Increased HIV-DNA load in CCR5-negative lymphocytes without viral phenotypic change. Virology. 2006;347:372-378. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
55. | Freely associating. Nat Genet. 1999;22:1-2. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 248] [Cited by in F6Publishing: 268] [Article Influence: 10.7] [Reference Citation Analysis (0)] |
56. | Daly AK, Day CP. Candidate gene case-control association studies: advantages and potential pitfalls. Br J Clin Pharmacol. 2001;52:489-499. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 123] [Cited by in F6Publishing: 124] [Article Influence: 5.4] [Reference Citation Analysis (0)] |
57. | Morton NE. Linkage disequilibrium maps and association mapping. J Clin Invest. 2005;115:1425-1430. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 33] [Cited by in F6Publishing: 34] [Article Influence: 1.8] [Reference Citation Analysis (0)] |
58. | Dawn Teare M, Barrett JH. Genetic linkage studies. Lancet. 2005;366:1036-1044. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 131] [Cited by in F6Publishing: 108] [Article Influence: 5.7] [Reference Citation Analysis (0)] |
59. | Hirschhorn JN. Genetic approaches to studying common diseases and complex traits. Pediatr Res. 2005;57:74R-77R. [PubMed] [Cited in This Article: ] |
60. | Thye T, Burchard GD, Nilius M, Müller-Myhsok B, Horstmann RD. Genomewide linkage analysis identifies polymorphism in the human interferon-gamma receptor affecting Helicobacter pylori infection. Am J Hum Genet. 2003;72:448-453. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 72] [Cited by in F6Publishing: 81] [Article Influence: 3.9] [Reference Citation Analysis (0)] |
61. | Flori L, Kumulungui B, Aucan C, Esnault C, Traoré AS, Fumoux F, Rihet P. Linkage and association between Plasmodium falciparum blood infection levels and chromosome 5q31-q33. Genes Immun. 2003;4:265-268. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 45] [Cited by in F6Publishing: 47] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
62. | Rihet P, Traoré Y, Abel L, Aucan C, Traoré-Leroux T, Fumoux F. Malaria in humans: Plasmodium falciparum blood infection levels are linked to chromosome 5q31-q33. Am J Hum Genet. 1998;63:498-505. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 106] [Cited by in F6Publishing: 113] [Article Influence: 4.3] [Reference Citation Analysis (0)] |
63. | Garcia A, Marquet S, Bucheton B, Hillaire D, Cot M, Fievet N, Dessein AJ, Abel L. Linkage analysis of blood Plasmodium falciparum levels: interest of the 5q31-q33 chromosome region. Am J Trop Med Hyg. 1998;58:705-709. [PubMed] [Cited in This Article: ] |
64. | Jepson A, Sisay-Joof F, Banya W, Hassan-King M, Frodsham A, Bennett S, Hill AV, Whittle H. Genetic linkage of mild malaria to the major histocompatibility complex in Gambian children: study of affected sibling pairs. BMJ. 1997;315:96-97. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 48] [Cited by in F6Publishing: 54] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
65. | Bucheton B, Abel L, El-Safi S, Kheir MM, Pavek S, Lemainque A, Dessein AJ. A major susceptibility locus on chromosome 22q12 plays a critical role in the control of kala-azar. Am J Hum Genet. 2003;73:1052-1060. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 60] [Cited by in F6Publishing: 61] [Article Influence: 2.9] [Reference Citation Analysis (0)] |
66. | Bellamy R, Beyers N, McAdam KP, Ruwende C, Gie R, Samaai P, Bester D, Meyer M, Corrah T, Collin M. Genetic susceptibility to tuberculosis in Africans: a genome-wide scan. Proc Natl Acad Sci U S A. 2000;97:8005-8009. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 195] [Cited by in F6Publishing: 208] [Article Influence: 8.7] [Reference Citation Analysis (0)] |
67. | Marquet S, Abel L, Hillaire D, Dessein A. Full results of the genome-wide scan which localises a locus controlling the intensity of infection by Schistosoma mansoni on chromosome 5q31-q33. Eur J Hum Genet. 1999;7:88-97. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 59] [Cited by in F6Publishing: 60] [Article Influence: 2.4] [Reference Citation Analysis (0)] |
68. | Siddiqui MR, Meisner S, Tosh K, Balakrishnan K, Ghei S, Fisher SE, Golding M, Shanker Narayan NP, Sitaraman T, Sengupta U. A major susceptibility locus for leprosy in India maps to chromosome 10p13. Nat Genet. 2001;27:439-441. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 142] [Cited by in F6Publishing: 141] [Article Influence: 6.1] [Reference Citation Analysis (0)] |
69. | Mira MT, Alcaïs A, Van Thuc N, Thai VH, Huong NT, Ba NN, Verner A, Hudson TJ, Abel L, Schurr E. Chromosome 6q25 is linked to susceptibility to leprosy in a Vietnamese population. Nat Genet. 2003;33:412-415. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 133] [Cited by in F6Publishing: 133] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
70. | Kacprzak-Bergman I, Nowakowska B. Influence of genetic factors on the susceptibility to HBV infection, its clinical pictures, and responsiveness to HBV vaccination. Arch Immunol Ther Exp (Warsz). 2005;53:139-142. [PubMed] [Cited in This Article: ] |
71. | Feitelson MA, Pan J, Lian Z. Early molecular and genetic determinants of primary liver malignancy. Surg Clin North Am. 2004;84:339-354. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 31] [Article Influence: 1.6] [Reference Citation Analysis (0)] |