High-throughput high-resolution class I HLA genotyping in East Africa

A Novel Allele-Specific PCR Protocol for the Detection of the HLA-C*03:02 Allele, a Pharmacogenetic Marker, in Vietnamese Kinh People

Background

Allopurinol, a common anti-hyperuricemia drug, is well known as an inducer of severe cutaneous adverse drug reactions (SCARs). One of the most well-defined risk factors of allopurinol-induced SCARs is the presence of polymorphic alleles of human leukocyte antigen (HLA) genes, such as HLA-B*58:01 and HLA-C*03:02 alleles. There is no commercial test or published in-house protocol for the specific detection of the HLA-C*03:02 allele. In this article, we established for the first time a simple allele-specific (AS) PCR method to identify HLA-C*03:02 allele carriers, and at the same time, determine their zygosities.

Methods

A two-step AS-PCR protocol, using four primer sets, was designed to specifically amplify and differentiate the HLA-C*03:02 allele from 17 other HLA-C alleles found in Vietnamese people. The protocol was validated with PCR-sequencing-based typing (SBT) of 100 samples of unknown genotypes.

Results

The PCR protocol can detect the HLA-C*03:02 allele and determine the zygosity. The results of this protocol were highly consistent with those of the SBT (ĸ = 0.98, p < 0.001). Regarding the specific detection of the HLA-C*03:02 allele, the PCR protocol had a sensitivity of 100% (95% CI: 91.61-100%) and specificity of 98.3% (95% CI: 90.9-99.7%). The protocol was used to determine the distribution of the HLA-C*03:02 allele in 810 unrelated Vietnamese Kinh people, 14.2% of which were HLA-C*03:02 carriers, the allele frequency was 7.5%.

Conclusion

A novel AS-PCR protocol with a sensitivity of 100% for the detection of the HLA-C*03:02 allele was established. The protocol can be used for personalized treatment with allopurinol in order to minimize the risk of SCARs in Vietnamese people as well as in other Asian populations with similar genetic characteristics.

Pre-treatment and acquired HIV drug resistance in Dar es Salaam, Tanzania in the era of tenofovir and routine viral load monitoring

OBJECTIVES

We investigated the prevalence and patterns of pre-treatment and acquired HIV drug resistance mutations (DRMs) in Tanzania as a 'treat all' strategy, virological monitoring and the progressive increase in usage of tenofovir are being implemented in HIV treatment programmes.

METHODS

Viral RNA was isolated from plasma of 60 ART-naive and 166 treated-but-viraemic (>400 copies/mL) HIV-1-infected adults attending a care and treatment clinic at Muhimbili National Hospital, Dar es Salaam, Tanzania, between June and October 2017. Viral genes encoding protease and reverse transcriptase were amplified by PCR and directly sequenced.

RESULTS

Viral genotyping of successfully amplified samples revealed pre-treatment DRMs in 14/47 (29.8%) ART-naive subjects. Of these, 7/47 (14.9%) harboured mutations that confer high-level resistance to at least one drug of the default first-line regimen. In treated-but-viraemic subjects, DRMs were found in 100/111 (90%), where DRMs against NNRTI, NRTI and PI were observed in 95/100 (95%), 92/100 (92%) and 13/100 (13%), respectively. Tenofovir-resistance mutations K65R and K70G/E or ≥3 thymidine analogue resistance mutations including M41L and L210W were found in 18/36 (50%) subjects on a tenofovir-containing regimen at failure. Four patients harboured multiple DRMs, which can confer resistance to all available ART regimens in Tanzania.

CONCLUSIONS

Taken together, pre-treatment and acquired DRMs were highly prevalent, which represents a major risk for the efficacy of ART programmes in Tanzania. Availability of a newer generation of antiretroviral drugs with a higher genetic barrier to resistance and robust treatment monitoring is warranted for effective and sustainable HIV treatment.

Differential HLA allele frequency in Mycobacterium africanum vs Mycobacterium tuberculosis in Mali

Tuberculosis (TB) is caused by Mycobacterium tuberculosis complex (MTBC), however, the distribution and frequency of MTBC lineages and sublineages vary in different parts of the globe. Mycobacterium africanum, a member of MTBC is responsible for a large percentage of TB cases in West Africa, however, it is rarely identified outside of this part of the World. Whether or not differential HLA polymorphism (an important host factor) is contributing to the geographic restriction of M. africanum to West Africa is unknown. Here, we conducted a cohort study in Mali of newly diagnosed individuals with active pulmonary TB and normal healthy controls. The MTBC isolates were spoligotyped to determine the TB study groups (M. tuberculosis sensu stricto LAM10 and M. africanum), and HLA typing was performed on peripheral blood. Unlike previous reports on other populations, we found that HLA class-I alleles were significantly associated with active TB disease in this population. HLA-B alleles (B*07:02, B*08:01, B*14:02, B*15:03, B*15:10, B*18:01, B*42:01, B*42:02, B*51:01 and B*81:01) were significantly associated with M. africanum (40%-45%) and M. tuberculosis (75%) compared with healthy controls. Many HLA-A alleles (A*02:05, A*34:02, A*66:01 and A*68:02) were also associated with both TB groups (65%-70%). However, many class II HLA-DR variants were found to be associated with M. tuberculosis but not M. africanum with the exception of the DRB1*03:01, which was associated with both groups. The differential HLA distribution observed in this study might be at least partially responsible for the geographical restriction of M. africanum infections to West Africa.

Correlation and agreement between eplet mismatches calculated using serological, low-intermediate and high resolution molecular human leukocyte antigen typing methods

Structural human leukocyte antigen (HLA) matching at the eplet level can be identified by HLAMatchmaker, which requires the entry of four-digit alleles. The aim of this study was to evaluate the agreement between eplet mismatches calculated by serological and two-digit typing methods compared to high-resolution four-digit typing. In a cohort of 264 donor/recipient pairs, the evaluation of measurement error was assessed using intra-class correlation to confirm the absolute agreement between the number of eplet mismatches at class I (HLA-A, -B, C) and II loci (HLA-DQ and -DR) calculated using serological or two-digit molecular typing compared to four-digit molecular typing methods. The proportion of donor/recipient pairs with a difference of >5 eplet mismatches between the HLA typing methods was also determined. Intra-class correlation coefficients between serological and four-digit molecular typing methods were 0.969 (95% confidence intervals [95% CI] 0.960–0.975) and 0.926 (95% CI 0.899–0.944), respectively; and 0.995 (95% CI 0.994–0.996) and 0.993 (95% CI 0.991–0.995), respectively between two-digit and four-digit molecular typing methods. The proportion of donor/recipient pairs with a difference of >5 eplet mismatches at class I and II loci was 4% and 16% for serological versus four-digit molecular typing methods, and 0% and 2% for two-digit versus four-digit molecular typing methods, respectively. In this small predominantly Caucasian population, compared with serology, there is a high level of agreement in the number of eplet mismatches calculated using two-compared to four-digit molecular HLA-typing methods, suggesting that two-digit typing may be sufficient in determining eplet mismatch load in kidney transplantation.

Human leukocyte antigen class 1 genotype distribution and analysis in persons with active tuberculosis and household contacts from Central Uganda

Background

To determine the distribution of Human leukocyte antigen (HLA) class I genotypes in a Ugandan population of persons with tuberculosis (TB) and establish the relationship between class I HLA types and Mycobacterium tuberculosis (MTB) disease.

Methods

Blood samples were drawn from HIV negative individuals with active TB and HIV negative household controls. DNA was extracted from blood samples and HLA typed by the polymerase chain reaction-sequence specific primer method. The allelic frequencies were determined by direct count.

Results

HLA-A*02, B*15, C*07, C*03, B*58, C*04, A*01, A*74, C*02 and A*30 were the dominant genotypes in this Ugandan cohort. There were differences in the distribution of HLA types between the individuals with active TB and the household controls with only HLA-A*03 allele showing a statistically significant difference (p = 0.017 crude; OR = 6.29 and p = 0.016; OR = 11.67 after adjustment for age). However, after applying the Benjamini and Hochberg adjustment for multiple comparisons the difference was no longer statistically significant (p = 0.374 and p = 0.176 respectively).

Conclusions

We identified a number of HLA class I alleles in a population from Central Uganda which will enable us to carry out a functional characterization of CD8+ T-cell mediated immune responses to MTB. Our results do not show a positive association between the HLA class I alleles and TB in this Ugandan population however the study sample was too small to draw any firm conclusions about the role of HLA class I alleles and TB development in Uganda.

Electronic supplementary material

The online version of this article (doi:10.1186/s12879-016-1833-3) contains supplementary material, which is available to authorized users.

Ultra-high resolution HLA genotyping and allele discovery by highly multiplexed cDNA amplicon pyrosequencing

BACKGROUND

High-resolution HLA genotyping is a critical diagnostic and research assay. Current methods rarely achieve unambiguous high-resolution typing without making population-specific frequency inferences due to a lack of locus coverage and difficulty in exon-phase matching. Achieving high-resolution typing is also becoming more challenging with traditional methods as the database of known HLA alleles increases.

RESULTS

We designed a cDNA amplicon-based pyrosequencing method to capture 94% of the HLA class I open-reading-frame with only two amplicons per sample, and an analogous method for class II HLA genes, with a primary focus on sequencing the DRB loci. We present a novel Galaxy server-based analysis workflow for determining genotype. During assay validation, we performed two GS Junior sequencing runs to determine the accuracy of the HLA class I amplicons and DRB amplicon at different levels of multiplexing. When 116 amplicons were multiplexed, we unambiguously resolved 99%of class I alleles to four- or six-digit resolution, as well as 100% unambiguous DRB calls. The second experiment, with 271 multiplexed amplicons, missed some alleles, but generated high-resolution, concordant typing for 93% of class I alleles, and 96% for DRB1 alleles. In a third, preliminary experiment we attempted to sequence novel amplicons for other class II loci with mixed success.

CONCLUSIONS

The presented assay is higher-throughput and higher-resolution than existing HLA genotyping methods, and suitable for allele discovery or large cohort sampling. The validated class I and DRB primers successfully generated unambiguously high-resolution genotypes, while further work is needed to validate additional class II genotyping amplicons.