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PubMed2004

Host ecology determines the relative fitness of virus genotypes in mixed-genotype nucleopolyhedrovirus infections.

Mixed-genotype infections are common in many natural host-parasite interactions. Classical kin-selection models predict that single-genotype infections can exploit host resources prudently to maximize fitness, but that selection favours rapid exploitation when co-infecting genotypes share limited host resources. However, theory has outpaced evidence: we require empirical studies of pathogen genotypes that naturally co-infect hosts. Do genotypes actually compete within hosts? Can host ecology affect the outcome of co-infection? We posed both questions by comparing traits of infections in which two baculovirus genotypes were fed to hosts alongside inocula of the same or a different genotype. The host, Panolis flammea, is a herbivore of Pinus sylvestris and Pi. contorta. The pathogen, PfNPV (a nucleopolyhedrovirus), occurs naturally as mixtures of genotypes that differ, when isolated, in pathogenicity, speed of kill and yield. Single-genotype infection traits failed to predict the 'winning' genotypes in co-infections. Co-infections infected and caused lethal disease in more hosts, and produced high yields, relative to single-genotype infections. The need to share with nonkin did not cause fitness costs to either genotype. In fact, in hosts feeding on Pi. sylvestris, one genotype gained increased yields in mixed-genotype infections. These results are discussed in relation to theory surrounding adaptive responses to competition with nonkin for limited resources.

Animals↗

PubMedDate not supplied

Hepatitis B virus genotype A is more often associated with severe liver disease in northern India than is genotype D.

BACKGROUND: The clinical outcome of chronic hepatitis B may depend on hepatitis B virus (HBV) genotype. Data from India on this aspect are limited and contradictory. We studied the frequency of HBV genotypes and their clinical significance. METHODS: Stored sera from patients with chronic HBV infection were tested for HBV genotype using PCR-RFLP. Clinical data, and biochemical and serological parameters were retrieved from medical records; patients were classified as having chronic hepatitis or cirrhosis. RESULTS: Of 70 patients studied (mean age [SD] 38.4 [17.0] years; 63 men; ALT 140 [177] U/L), 32 had chronic hepatitis and 38 had cirrhosis. HBeAg was positive in 50/67 (75%), and anti-HBe in 12/66 (18%). Genotype A was the commonest (37; 53%), followed by D (32; 46%) and C (1; 1%). Patients with genotype A more often had ALT elevation exceeding 1.5 times normal (30/37 [81%] than those with genotype D (18/31 [58%]; p< 0.05). They also more often had positive HBeAg (32/37; 86%) and negative anti-HBe (33/36; 92%) than those with genotype D (18/29 [62%] and 21/29 [72%], respectively; p< 0.05 each). Of 37 patients with genotype A, 23 (62%) had cirrhosis and 14 (38%) had chronic hepatitis; of 32 patients with genotype D, 15 (47%) had cirrhosis and 17 (53%) had chronic hepatitis (p=ns). In the subgroup aged> 25 years, genotype A patients more often had cirrhosis than those with genotype D (23/28 [82%] vs 13/23 [57%]; p < 0.05). CONCLUSION: HBV genotypes A and D were the commonest in our population. Genotype A was more often associated with ALT elevation, HBeAg positivity, absence of anti-HBe and, among those aged 25 years and above, cirrhosis of liver, than was genotype D.

Adult↗

PubMed2003

Genotype-based association test for general pedigrees: the genotype-PDT.

Many family-based tests of linkage disequilibrium (LD) are based on counts of alleles rather than genotypes. However, allele-based tests may not detect interactions among alleles at a single locus that are apparent when examining associations with genotypes. Family-based tests of LD based on genotypes have been developed, but they are typically valid as tests of association only in families with a single affected individual. To take advantage of families with multiple affected individuals, we propose the genotype-pedigree disequilibrium test (geno-PDT) to test for LD between marker locus genotypes and disease. Unlike previous tests for genotypic association, the geno-PDT is valid in general pedigrees. Simulations to compare the power of the allele-based PDT and geno-PDT reveal that under an additive model, the allele-based PDT is more powerful, but that the geno-PDT can have greater power when the genetic model is recessive or dominant. Perhaps the most important property of the geno-PDT is the ability to test for association with particular genotypes, which can reveal underlying patterns of association at the genotypic level. These genotype-specific tests can be used to suggest possible underlying genetic models that are consistent with the pattern of genotypic association. This is illustrated through an application to a candidate gene analysis of the MLLT3 gene in families with Alzheimer disease. The geno-PDT approach for testing genotypes in general family data provides a useful tool for identifying genes in complex disease, and partitioning individual genotype contributions will help to dissect the influence of genotype on risk.

Alzheimer Disease↗

PubMed2006

Molecular epidemiology of hepatitis C virus (HCV) in Greece: temporal trends in HCV genotype-specific incidence and molecular characterization of genotype 4 isolates.

This study aimed to estimate the overall HCV genotype distribution and to reconstruct the HCV genotype-specific incidence in Greece during the recent decades. It also focused at the identification of genotype 4 subtype variability in Greek isolates. A total of 1686 chronically infected HCV patients with detectable serum HCV RNA by RT-PCR, belonging to different risk groups were studied. Amplified products from the 5'-noncoding region were typed using a commercially available assay based on the reverse hybridization principle. The HCV genotype-specific incidence was estimated using a previously described back calculation method. HCV genotype 1 was the most prevalent (46.9%) followed by genotype 3 (28.1%), 4 (13.2%), 2 (6.9%) and 5 (0.4%). A high prevalence of genotype 1 (66.3%) in haemophilia patients was recorded whereas HCV genotype 3 was found mainly among patients infected by I.V. drug use (58.2%). Data on the temporal patterns of HCV genotype-specific incidence in Greece revealed a moderate increase (1.3-1.6 times) for genotypes 1 and 4, and a decrease (1.5 times) for genotype 2 from 1970 to 1990, whereas there was a sharp (13-fold) increase for genotype 3. The molecular characterization of 41 genotype 4 HCV isolates belonging to various risk groups revealed that, subtype 4a was the most frequently detected (78%). Phylogenetic comparison of the Greek 4a isolates with all HCV-4a isolates reported worldwide so far revealed a topology which does not discriminate Greek isolates from the others. HCV-4 does not represent a recent introduction in Greece.

Adolescent↗

PubMed2006

Susceptibility of biallelic haplotype and genotype frequencies to genotyping error.

With the availability of fast genotyping methods and genomic databases, the search for statistical association of single nucleotide polymorphisms with a complex trait has become an important methodology in medical genetics. However, even fairly rare errors occurring during the genotyping process can lead to spurious association results and decrease in statistical power. We develop a systematic approach to study how genotyping errors change the genotype distribution in a sample. The general M-marker case is reduced to that of a single-marker locus by recognizing the underlying tensor-product structure of the error matrix. Both method and general conclusions apply to the general error model; we give detailed results for allele-based errors of size depending both on the marker locus and the allele present. Multiple errors are treated in terms of the associated diffusion process on the space of genotype distributions. We find that certain genotype and haplotype distributions remain unchanged under genotyping errors, and that genotyping errors generally render the distribution more similar to the stable one. In case-control association studies, this will lead to loss of statistical power for nondifferential genotyping errors and increase in type I error for differential genotyping errors. Moreover, we show that allele-based genotyping errors do not disturb Hardy-Weinberg equilibrium in the genotype distribution. In this setting we also identify maximally affected distributions. As they correspond to situations with rare alleles and marker loci in high linkage disequilibrium, careful checking for genotyping errors is advisable when significant association based on such alleles/haplotypes is observed in association studies.

Alleles↗

PubMed2006

Reactivity of genotype-specific recombinant proteins of human erythrovirus B19 with plasmas from areas where genotype 1 or 3 is endemic.

Human erythrovirus (parvovirus) B19 (B19) is a common human pathogen. The recent discovery of three genotypes, 1 to 3, raised issues related to the ability of genotype-specific antigens to cross-react with antibodies elicited by other genotypes. This study assessed antibody capture and immunoglobulin G (IgG) cross-reactivity between genotype 1 and genotype 3 recombinant antigens and analyzed the potential gain of adding VP1 protein to VP2 capsid antigen. Plasma samples from genotype 1- or genotype 3-infected populations were blindly tested with blindly prepared reagents. The IgG reactivity was assessed with baculovirus-expressed VP2 or VP1 and VP2 recombinant genotype 1 or genotype 3 proteins in a standardized enzyme immunoassay (EIA). A high degree of agreement (>95%) between EIA results was observed, with Spearman correlation coefficient and kappa reliability coefficient results of >/=0.95 for samples from the United Kingdom and >/=0.77 for samples from Ghanaian children, respectively. Most discrepant results were related to equivocal reactivity. The addition of VP1 to VP2 capsids did not significantly impact antibody detection. These data suggest that the currently available genotype-1-based IgG EIA is suitable to detect antibody to B19 genotype 3 in Ghanaian children. However, samples from the Ghanaian adult population exhibited atypical results in the assay, possibly due to the high levels of nonspecific IgG antibodies found in adults living in this region. Within these limitations, the study demonstrates that genotype 1 and genotype 3 antigens are equally effective in detecting either antibody species.

Antigens, Viral↗

PubMed1995

Comparative analysis of two assays for genotyping hepatitis C virus based on genotype-specific primers or probes.

BACKGROUND/AIMS: The importance of determining the hepatitis C virus genotype has increased since several authors have described a good correlation between hepatitis C virus genotype and response to interferon treatment or to disease severity. It is thus of particular importance to develop reliable assays for hepatitis C virus genotyping. METHODS: We have comparatively analyzed hepatitis C virus genotypes of 208 French and Italian chronically infected patients using genotype-specific primers polymerase chain reaction in the capsid region and a genotype-specific probe-based assay in the 5' untranslated region (LiPA). RESULTS: We found a good concordance between the two assays for the prevalent genotypes in our regions (145/174). The nucleotide sequences in the 5'UTR and capsid domain were investigated to determine the molecular basis of some discordant results. This analysis showed that the genotype-specific probe-based assay gave more consistent results, probably because this technique is based on several probes distributed along the 5'UTR to reveal each genotype. In contrast, the low variability of 5'UTR did not always permit classification of the hepatitis C virus genotype 1 subtypes. We also found some problems, using genotype-specific primers polymerase chain reaction, for less represented genotypes; in particular, in the presence of type 2a/III we obtained more discordant results. This observation is of importance in view of the potential association of this genotype with mild liver disease and a good response to interferon-a treatment.

Base Sequence↗

PubMed2026

SNP genotyping in Pseudotsuga menziesii and Pinus radiata using targeted genotyping-by-sequencing (GBS): improved Bayesian SNP calling using a beta-binomial distribution and other optimized input parameters.

BACKGROUND: Single-nucleotide polymorphism markers (SNPs) have important applications in gene conservation, breeding, and fundamental genetics research. Our long-term goal is to develop routine approaches for SNP genotyping in forest trees. Ideally, these approaches would be inexpensive, able to accommodate a wide range of samples and SNPs, available through commercial providers, and produce high-quality SNP data. RESULTS: Using targeted genotyping-by-sequencing (GBS), we developed SNP assays for two highly heterozygous tree species, Douglas-fir (Pseudotsuga menziesii) and radiata pine (Pinus radiata). Using Douglas-fir haploid and diploid data, we optimized Bayesian SNP calling by testing four input parameters: (1) allele and genotype prior probabilities, (2) Rho, the beta-binomial dispersion parameter, (3) estimated read error (BayesReadError), and (4) the logPO cutoff used to filter low confidence SNP calls. logPO is the Bayesian posterior odds ratio for a called SNP. Compared to assuming a binomial distribution of read counts (Rho = 0), the beta-binomial distribution (Rho = 0.33) substantially reduced call error and heterozygote undercalling. Compared to the other Bayesian parameters, genotype priors had little effect on genotyping success. For Douglas-fir, we tested 5,360 SNP assays, and then studied the performance of the best 4,000. For radiata pine, we tested 6,000 SNP assays, and then studied the performance of the best 4,570. In Douglas-fir and radiata pine, our Bayesian approach resulted in median call rates of 95% to 98% for the top-ranked SNPs, with an estimated call error of 1.60% for known homozygous genotypes and 2.27% for known heterozygotes. In radiata pine, median and mean call rates were above 91% for GBS and SNP genotyping using an Axiom fixed genotyping array. Additionally, the median correspondence between the GBS and Axiom genotypes was about 98% overall (mean 96%). CONCLUSIONS: By optimizing Bayesian SNP calling, selecting the best 4-5 K SNPs, and excluding samples with low DNA amounts, we substantially reduced call error and heterozygote undercalling, resulting in SNP genotypes that were nearly identical to genotypes obtained using the Axiom array. Furthermore, genotyping performance should increase even further if our SNP rankings were used to develop less complex probe pools that target fewer SNPs.

Pinus↗

PubMed2001

Hepatitis delta virus genotypes I and III circulate associated with hepatitis B virus genotype F In Venezuela.

The genotypes of hepatitis B (HBV) and delta (HDV) viruses circulating among Venezuelan Amerindian populations, where these viruses are endemic, were determined by sequencing of PCR amplified products from HBsAg positive sera. HDV genotype I (n = 7, 6 from West Amerindians), and III (n = 5, 4 from South Amerindians), were found. Only one HDV genotype I isolate was associated with HBV genotype D, 4 HDV genotype I and 2 HDV genotype III infected individuals were co-infected with HBV genotype F. The failure to detect the South American HDV genotype III in West Amerindians might be related to the outbreak of fulminant hepatitis with high mortality rate occurred between 1979 and 1982, probably affecting more the Amerindians infected with HDV genotype III. These results suggest the circulation of HDV genotype I among Amerindians, probably introduced through European immigrations, and that this HDV genotype is able to replicate in association with HBV genotype F.

Amino Acid Sequence↗

PubMed2005

Co-infection with hepatitis B virus genotype D and other genotypes in Western Japan.

OBJECTIVE: Genotypes B and C are the prevalent hepatitis B virus (HBV) genotypes in eastern Asia. Although very rare in this region of the world, genotype D was found to be prevalent in a small area of western Japan. In this study, we confirm the frequency and clinical significance of co-infection with different genotypes among patients from that area infected with genotype D. METHODS: Twenty-three patients from the same area of western Japan infected with HBV genotype D, determined using a genotyping enzyme immunoassay, were studied. Cloning was done using DNA extracted from serum samples, and polymerase chain reaction assays with the restriction fragment length polymorphism for HBV genotyping were performed with 10 clones from each patient. RESULTS: Four (17.4%) of the 23 patients were found to be co-infected with HBV genotype C, and the HB surface antigen subtype was ayw in both mono- and co-infected patients. No clinical differences were found between mono-infected and co-infected patients carrying genotype D. CONCLUSION: A significant number of patients from the study area found to be infected with HBV genotype D were co-infected with genotype C. Additional study with a larger number of patients is needed to elucidate the possible clinical significance.

Adolescent↗

PubMed2005

High molecular weight adiponectin correlates with insulin sensitivity in patients with hepatitis C genotype 3, but not genotype 1 infection.

BACKGROUND: Obesity is recognized as a cofactor in hepatitis C (HCV) liver injury. Adipokines may be the link between increasing body mass index (BMI) and disease progression in HCV. Adiponectin is an anti-inflammatory adipokine that is present in serum in a range of multimeric forms that appear to have different metabolic functions. METHODS: We studied 30 male patients with untreated chronic HCV (15 each with genotypes 1 and 3) and 12 controls. The three groups were matched for age and BMI. Total adiponectin and high (HMW) and low (LMW) molecular weight adiponectin multimers were measured. The relationships between adiponectin, BMI, insulin sensitivity, and liver histology were examined. RESULTS: Genotype 3 was associated with greater hepatic steatosis and inflammation than genotype 1. Patients with genotype 1 were less insulin sensitive than genotype 3, who had similar insulin sensitivity to controls. Insulin resistance was associated with a decrease in total and HMW adiponectin in both HCV and controls, while LMW adiponectin was unchanged. When the effect of genotype was examined, this association was present with genotype 3 but not genotype 1 infection. CONCLUSIONS: These data demonstrate that the relationship between insulin resistance and adiponectin is similar in controls and patients with genotype 3 but not genotype 1 infection. The greater degree of insulin resistance in genotype 1 appears to be a genotype-specific effect.

Adiponectin↗

PubMed1997

Serological determination of hepatitis C virus genotype: comparison with a standardized genotyping assay.

In patients with chronic hepatitis C, determination of hepatitis C virus (HCV) genotype could be routinely run in the future to tailor treatment schedules. The suitabilities of two versions of a serological, so-called serotyping assay (Murex HCV Serotyping Assay version 1-3 [SA1-3] and Murex HCV Serotyping Assay version 1-6 [SA1-6]; Murex Diagnostics Ltd.), based on the detection of genotype-specific antibodies directed to epitopes encoded by the NS4 region of the genome, for the routine determination of HCV genotypes were studied. The results were compared with those of a molecular biology-based genotyping method (HCV Line Probe Assay [INNO-LiPA HCV]; Innogenetics S.A.), based on hybridization of PCR products onto genotype-specific probes designed in the 5' noncoding region of the genome, obtained with pretreatment serum samples from 88 patients with chronic hepatitis C eligible for interferon therapy. Definitive genotyping was performed by sequence analysis of three regions of the viral genome in all samples with discrepant typing results found among at least two of the three assays studied. In all instances, sequence analysis confirmed the result of the INNO-LiPA HCV test. The sensitivity of SA1-3 was 75% relative to the results obtained by the genotyping assay. The results were concordant with those of genotyping for 92% of the samples typeable by SA1-3. The sensitivity of SA1-6 was 89% relative to the results obtained by the genotyping assay. The results were concordant with those of genotyping for 94% of the samples typeable by SA1-6. Overall, SA1-6 had increased sensitivity relative to SA1-3 but remained less sensitive than the genotyping assay on the basis of PCR amplification of HCV RNA. Cross-reactivities between different HCV genotypes could be responsible for the mistyping of 8 (SA1-3) and 6% (SA1-6) of the samples. Subtyping of 1a and 1b is still not possible with the existing peptides, but discriminating between subtypes may not be necessary for routine use.

Female↗

PubMed2004

The putative recombination of hepatitis B virus genotype B with pre-C/C region of genotype C.

Among hepatitis B virus (HBV) genotypes the B and C are most prevalent in China. To further study on the inside story of the intertypes, the genotype of 136 sequences from Chinese patients were analyzed either by restriction fragment length polymorphism on fragments or by phylogenetic analysis and bootscanning on full genome. The 22 complete sequences of genotype B clustered with different genotypes depending on gene fragments analyzed, which indicated that recombinant events occurred during HBV evolutionary history. To locate the recombinant regions, the sequences of HBV entire genome were analyzed by SimPlot program. The recombinant regions of B genotype with recombination were mapped in the pre-C/C region with relatively less varied size. Besides, three sequences of genotype C have recombination with genotype B or D in different regions. However, among all of the 136 sequences, none of authentic genotype B was identified. To investigate the possible mechanism responsible for intertype recombination, the selection pressure on the recombinant region was estimated by using CODEML program. All models allow for positively selected sites suggest existence of positive selection pressure. In conclusion, the genotype B with recombination was exclusive subgroup of genotype B in China. The mosaic genotype B might result from immune pressure on the pre-C/C gene.

Carrier State↗

PubMed2001

Characterization of two decades of temporal co-circulation of four mumps virus genotypes in Denmark: identification of a new genotype.

Twenty-nine Danish virus isolates and 14 serum samples from patients with mumps were genotyped by nucleotide sequencing of the small hydrophobic (SH) protein gene and the deduced 57 amino acid sequences were aligned with sequences of mumps virus strains published previously. Four neurovirulent genotypes of the SH protein gene, genotypes C, D, H and a new genotype, designated J, were found. There was a dynamic fluctuation of the different genotypes over the two decade period of time. Genotype J was found from 1981 to 1988; genotypes C and H exhibited a similar distribution in time. Genotype D was found between 1979 and 1982, it then disappeared and reappeared again in 1996. From 1996 onwards, genotype D was found to be the predominant genotype, which is in contrast to the situation seen in the neighbouring country of Sweden, where, since 1985, only genotype A has been found.

Adolescent↗

PubMed2001

Toward high-throughput genotyping: dynamic and automatic software for manipulating large-scale genotype data using fluorescently labeled dinucleotide markers.

To efficiently manipulate large amounts of genotype data generated with fluorescently labeled dinucleotide markers, we developed a Microsoft database management system, named. offers several advantages. First, it accommodates the dynamic nature of the accumulations of genotype data during the genotyping process; some data need to be confirmed or replaced by repeat lab procedures. By using, the raw genotype data can be imported easily and continuously and incorporated into the database during the genotyping process that may continue over an extended period of time in large projects. Second, almost all of the procedures are automatic, including autocomparison of the raw data read by different technicians from the same gel, autoadjustment among the allele fragment-size data from cross-runs or cross-platforms, autobinning of alleles, and autocompilation of genotype data for suitable programs to perform inheritance check in pedigrees. Third, provides functions to track electrophoresis gel files to locate gel or sample sources for any resultant genotype data, which is extremely helpful for double-checking consistency of raw and final data and for directing repeat experiments. In addition, the user-friendly graphic interface of renders processing of large amounts of data much less labor-intensive. Furthermore, has built-in mechanisms to detect some genotyping errors and to assess the quality of genotype data that then are summarized in the statistic reports automatically generated by. The can easily handle >500,000 genotype data entries, a number more than sufficient for typical whole-genome linkage studies. The modules and programs we developed for the can be extended to other database platforms, such as Microsoft SQL server, if the capability to handle still greater quantities of genotype data simultaneously is desired.

Alleles↗

PubMed2006

Evaluation of the SPF10-INNO LiPA human papillomavirus (HPV) genotyping test and the roche linear array HPV genotyping test.

The need for accurate genotyping of human papillomavirus (HPV) infections is becoming increasingly important, since (i) the oncogenic potential among the high-risk HPV genotypes varies in the pathogenesis of cervical cancer, (ii) monitoring multivalent HPV vaccines is essential to investigate the efficiency of the vaccines, and (iii) genotyping is crucial in epidemiologic studies evaluating HPV infections worldwide. Various genotyping assays have been developed to meet this demand. Comparison of different studies that use various HPV genotyping tests is possible only after a performance assessment of the different assays. In the present study, the SPF(10) LiPA version 1 and the recently launched Roche Linear Array HPV genotyping assays are compared. A total of 573 liquid-based cytology samples were tested for the presence of HPV by a DNA enzyme immunoassay; 210 were found to be positive for HPV DNA and were evaluated using both genotyping assays (163 with normal cytology, 22 with atypical squamous cells of undetermined significance, 20 with mild/moderate dysplasia, and 5 with severe dysplasia). Comparison analysis was limited to the HPV genotype probes common to both assays. Of the 160 samples used for comparison analysis, 129 (80.6%) showed absolute agreement between the assays (concordant), 18 (11.2%) showed correspondence for some but not all genotypes detected on both strips (compatible), and the remaining 13 (8.2%) samples did not show any similarity between the tests (discordant). The overall intertest comparison agreement for all individually detectable genotypes was considered very good (kappa value, 0.79). The genotyping assays were therefore highly comparable and reproducible.

Cervix Uteri↗

PubMed1997

New hepatitis C virus (HCV) genotyping system that allows for identification of HCV genotypes 1a, 1b, 2a, 2b, 3a, 3b, 4, 5a, and 6a.

Recent studies have focused on whether different hepatitis C virus (HCV) genotypes are associated with different profiles of pathogenicity, infectivity, and response to antiviral therapy. The establishment of a simple and precise genotyping system for HCV is essential to address these issues. A new genotyping system based on PCR of the core region with genotype-specific PCR primers for the determination of HCV genotypes 1a, 1b, 2a, 2b, 3a, 3b, 4, 5a, and 6a was developed. A total of 607 samples (379 from Japan, 63 from the United States, 53 from Korea, 35 from Taiwan, 32 from China, 20 from Hong Kong, 15 from Australia, 6 from Egypt, 3 from Bangladesh, and 1 from South Africa) were tested by both the assay of Okamoto et al. (H. Okamoto, Y. Sugiyama, S. Okada, K. Kurai, Y. Akahane, Y. Sugai, T. Tanaka, K. Sato, F. Tsuda, Y. Miyamura, and M. Mayumi, J. Gen. Virol. 73:673-679, 1992) and this new genotyping system. Comparison of the results showed concordant results for 539 samples (88.8%). Of the 68 samples with discordant results, the nucleotide sequences of the HCV isolates were determined in 23, and their genotypes were determined by molecular evolutionary analysis. In all 23 samples, the assignment of genotype by our new genotyping system was correct. This genotyping system may be useful for large-scale determination of HCV genotypes in clinical studies.

DNA Primers↗

PubMed2003

Evaluation of the INNO-LiPA HBV genotyping assay for determination of hepatitis B virus genotype.

Specific genotypes of hepatitis B virus (HBV) are increasingly recognized for their clinical significance and association with particular viral mutations. Although many HBV genotyping methods exist, there has been no standardized or commercially available method for direct molecular typing of the HBV genome. A newly available line probe assay (INNO-LiPA HBV Genotyping assay; Innogenetics N.V., Ghent, Belgium) that allows the identification of HBV genotypes A to G was assessed by comparison with pre-S1/pre-S2 sequence analysis of the isolates in 188 serum specimens. All seven genotypes were detected by the line probe assay (LiPA), and complete concordance between LiPA and sequence analysis was observed for 152 specimens (81%). LiPA was able to detect 19 mixed genotype infections not detected by amplicon sequencing, which for the most part were confirmed by cloning and sequencing of the pre-S1/pre-S2 amplicon. Four specimens had discrepant results between the two methods, and five specimens had indeterminate results by LiPA. The HBV DNA in four specimens was unable to be amplified by the nested INNO-LiPA HBV DR amplification primers; however, the HBV DNA in six specimens unable to be genotyped by sequencing was clearly genotyped by LiPA. The INNO-LiPA HBV Genotyping assay appears to be useful for the rapid genotyping of HBV, particularly for the sensitive detection of mixed genotype infections.

Gene Amplification↗