Polymorphisms of HLA-DRB1, -DQA1 and -DQB1 in inhabitants of Astana, the capital city of Kazakhstan

Diversity of HLA-A, -B, -C, -DRB1, and -DQB1 alleles and haplotypes in Kazakhstani Tatar population and genetic relatedness to other populations

BACKGROUND

Kazakhstan is a transcontinental former Soviet Union republic whose present-day population comprises more than 100 ethnic groups. Insofar as Human Leukocyte Antigen (HLA) genotyping is useful for anthropological studies, data on the HLA profile of Kazakhstani Tatars are lacking.

OBJECTIVE

We extend our earlier findings on the unique HLA profile of distinct Kazakhstani populations by examining HLA class I and class II loci in Kazakhstani (Volga) Tatar minority population and its relatedness to those of bordering and worldwide communities.

METHODS

HLA class I and class II genotypes of the Kazakhstan Tatar minority were analyzed by PCR-SSP and were compared to neighboring populations using Neighbor-Joining (NJ) trees and standard genetic distances (SGD) analysis.

RESULTS

In total, 132 HLA alleles were identified in a sample of 103 Kazakhstani Tatars, of which HLA-A*02:01 (20.1 %), -B*07:02 (12.1 %), -C*07:02 (12.7 %), -DRB1*07:01 (18.1 %), and -DQB1*02:01 (19.6 %) were the most frequent. The most frequent two-locus haplotypes were B*07:02 ∼ C*07:02 (10.6 %) B*07:02 ∼ DRB1*15:01 (06.1 %), B*07:02 ∼ DQB1*06:02 (07.1 %), and DRB1*15:01 ∼ DQB1*06:02 (11.6 %).

CONCLUSIONS

Considering historical data, the close relatedness of Kazakhstani Tatars to European Russians (including Russian Tatars) suggests that Kazakhstani Tatars may be Russian Tatars, who originated from the Volga region, following their massive migrations to central Asia.

Total serum IgA levels and HLA-DQB1*02:01 allelic status

Immunoglobulin A Deficiency (IgAD) is the most common primary immunodeficiency and is significantly associated with Celiac Disease (CD), which recognizes a specific background of human leukocyte antigens (HLA) predisposition (including HLA-DQB1*02:01 allele). A number of studies investigated the role of HLA in IgAD etiopathogenesis: HLA-DQB1*02 alleles are included in the main haplotypes linked to this primary immunodeficiency. In this preliminary study, we investigated the potential impact of HLA-DQB1*02:01 allelic status on total serum IgA levels: 108 serum samples from the bone marrow donors' registry were analyzed for total IgA concentration with respect to the HLA-DQB1*02:01 status. Although total serum IgA levels between HLA-DQB1*02:01 carriers and HLA-DQB1*02:01 negative donors were not different, we observed a statistically significant difference (p=0.0118) in total serum IgA levels among donors with low IgA concentration (<80mg/dL) in the sub-analysis between HLA-DQB1*02:01 positive group (including both homozygous and heterozygous carriers) compared to HLA-DQB1*02:01 negative donors. Our results might suggest a role of HLA-DQB1*02:01 allelic variant in the determination of total serum IgA levels, at least in patients affected with IgA deficiency and/or otherwise predisposed to it; however, larger and more standardized studies are needed to confirm this speculation.

Distributions of 11-loci HLA alleles typed by amplicon-based next-generation sequencing in South Koreans

The range of HLA typing for successful hematopoietic stem cell transplantation (HSCT) is gradually expanding with the next-generation sequencing (NGS)-based improvement in its quality. However, it is influenced by the allocation of finances and laboratory conditions. HLA-A, -B, -C, -DRB1/3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 alleles were genotyped at the 3-field level by amplicon-based NGS using MiSeqDx system and compared to our previous study employing long-range PCR and NGS using TruSight HLA v2 kit, in healthy donors from South Korea. Exon 2, exons 2/3, exons 2/3/4 or 5 of 11-loci were amplified by multiplex PCR. The sequence reads of over 53 depth counts were consistently obtained in each sample exon, depending on the target exon determined to match the reference sequence contained in the IPD-IMGT/HLA Database. HLA alleles were investigated by combinations of the determined exons. A total of 18 alleles with a frequency over 10% were found at the 11 HLA loci. Three ambiguities of HLA-A, -C, and -DRB1 were resolved. We observed a total of 26 HLA-A ~ C ~ B and 6 HLA-DRB1 ~ DQA1 ~ DQB1 ~ DPA1 ~ DPB1 haplotypes having significant linkage disequilibrium between alleles at all neighboring HLA loci. This result was compatible with the previous one, using TruSight HLA v2 kit. Advantages are simple and short progress time because one plate is used for each PCR step in one PCR machine and 11-loci HLA typing is possible even if only eight samples. These data suggested that expanded 11-loci HLA typing data by amplicon-based NGS might help perform HSCT.

Distribution of HLA-A, -C, -B, -DRB1, and -DQB1 polymorphisms in the Korean minority in Kazakhstan, and relatedness to neighboring and distant populations

BACKGROUND

Among the 125 ethnicities and linguistic groups in Kazakhstan, Koreans represent the eighth minority numerically. HLA class I and class II allele frequencies and extended haplotypes were studied for the first time and were compared to related and distant populations worldwide.

METHODS

HLA class I (A, B, C) and class II (DRB1, DQB1) profile was investigated in Kazakhstani Koreans, and were compared to other populations using standard genetic distances (SGD), neighbor-joining dendrograms, correspondence, and haplotype analysis.

RESULTS

One hundred and thirty-one HLA alleles were identified in Koreans living in Kazakhstan, with A*02:01 (23.08%), B*35:01 (8.24%), C*01:02 (15.38%), DRB1*08:03 (9.89%), and DQB1*03:01 (21.98%) being the most frequent alleles. A*03:01 ∼ B*07:02 (3.85%), B*08:01 ∼ DRB1*03:01 (3.85%), B*07:02 ∼ C*07:02 (7.14%), and DRB1*08:03 ∼ DQB1*06:01 (9.34%) were the most frequent two-locus haplotypes, while A*02:01 ∼ B*18:01 ∼ C*07:01 ∼ DRB1*11:04 ∼ DQB1*03:01 and A*33:03 ∼ B*44:03 ∼ C*14:03 ∼ DRB1*13:02 ∼ DQB1*06:04 (2.2% each) were the most frequent five-locus haplotypes.

CONCLUSION

Korean minority in Kazakhstan was closely related to East Asians, including Mongolians (SGD, 0.044), Tuvans (East Siberia; SGD, 0.081), Burayts (Siberia; SGD, 0.094), but distant from East Mediterranean such as Lebanese (SGD, 0.367), Greek (SGD, 0.377), and Saudi (SGD, 0.414), and most Siberians (SGD, 0.473-0.699). This relatedness could be mainly attributed to massive migration of Koryo Saram to Kazakhstan in the 20th century.

Allele and haplotype frequencies of human leukocyte antigen-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 by next generation sequencing-based typing in Koreans in South Korea

Allele frequencies and haplotype frequencies of HLA-A, -B, -C, -DRB1, -DRB3/4/5, -DQA1, -DQB1, -DPA1, and -DPB1 have been rarely reported in South Koreans using unambiguous, phase-resolved next generation DNA sequencing. In this study, HLA typing of 11 loci in 173 healthy South Koreans were performed using next generation DNA sequencing with long-range PCR, TruSight^® HLA v2 kit, Illumina MiSeqDx platform system, and Assign^™ for TruSight^™ HLA software. Haplotype frequencies were calculated using the PyPop software. Direct counting methods were used to investigate the association with DRB1 for samples with only one copy of a particular secondary DRB locus. We compared these allele types with the ambiguous allele combinations of the IPD-IMGT/HLA database. We identified 20, 40, 26, 31, 19, 16, 4, and 16 alleles of HLA-A, HLA-B, HLA-C, HLA-DRB1, HLA-DQA1, HLA-DQB1, HLA-DPA1, and HLA-DPB1, respectively. The number of HLA-DRB3/4/5 alleles was 4, 5, and 3, respectively. The haplotype frequencies of most common haplotypes were as follows: A*33:03:01-B*44:03:01-C*14:03-DRB1*13:02:01-DQB1*06:04:01-DPB1*04:01:01 (2.89%), A*33:03:01-B*44:03:01-C*14:03 (4.91%), DRB1*08:03:02-DQA1*01:03:01-DQB1*06:01:01-DPA1*02:02:02-DPB1*05:01:01 (5.41%), DRB1*04:05:01-DRB4*01:03:01 (12.72%), DQA1*01:03:01-DQB1*06:01:01 (13.01%), and DPA1*02:02:02-DPB1*05:01:01 (30.83%). In samples with only one copy of a specific secondary DRB locus, we examined its association with DRB1. We, thus, resolved 10 allele ambiguities in HLA-B, -C (each exon 2+3), -DRB1, -DQB1, -DQA1, and -DPB1 (each exon 2) of the IPD-IMGT/HLA database. Korean population was geographically close to Japanese and Han Chinese populations in the genetic distances by multidimensional scaling (MDS) plots. The information obtained by HLA typing of the 11 extended loci by next generation sequencing may be useful for more exact diagnostic tests on various transplantations and the genetic population relationship studies in South Koreans.

Distribution of HLA-DQA1, -DQB1 and -DRB1 genes and haplotypes in Han, Uyghur, Kazakh and Hui populations inhabiting Xinjiang Uyghur Autonomous Region, China

Genetic polymorphisms of human leucocyte antigen (HLA)-DRB1, -DQA1 and -DQB1 among four main ethnic groups including Han (n = 70), Uyghur (n = 71), Kazakh (n = 52) and Hui (n = 40) subjects from Xinjiang Uyghur Autonomous Region were investigated using a polymerase chain reaction-sequence-based typing (PCR-SBT). In total, 32 HLA-DRB1 alleles, eight HLA-DQA1 alleles and 14 HLA-DQB1 alleles were identified. The most predominant HLA-DRB1, -DQA1 and -DQB1 alleles were DRB1*15:01 (12.50%), DQA1*01:02 (21.43%) and DQB1*03:01 (19.29%) in Han; DRB1*07:01 (18.48%), DQA1*05:01/03/05 (24.65%) and DQB1*02:01/02 (31.69%) in Uyghur; and DRB1*13:01 (13.64%), DQA1*05:01/03/05 (28.85%) and DQB1*02:01/02 (27.88%) in Kazakh, respectively. In Hui, DRB1*07:01, DRB1*11:01 and DRB1*14:01 were the most dominant alleles with the same frequency of 11.8%, while the predominant DQA1 and DQB1 alleles were DQA1*03:01/02/03 (23.75%) and DQB1*02:01/02 (16.25%), respectively. In addition, the most common two-locus haplotypes were DQA1*05:01/03/5-DQB1*03:01 (10.0%) in Han; DQA1*02:01-DQB1*02:01/02 (18.31%) in Uyghur; DQA1*05:01/03/05-DQB1*02:01/02 (15.38%) in Kazakh; and DQA1*03:01/02/03-DQB1*03:03 (11.25%) in Hui. The phylogenetic dendrograms constructed based on the allele frequencies of HLA-DRB1, -DQA1 and -DQB1 in 13 populations (e.g. Asian, Central Asian and European) revealed that the Han and Hui populations were clustered together and closest to Han population from China, while the Kazakh and Uyghur populations were closest to each other and two ethnic groups were clustered together with Central Asian and European populations.

Association of polymorphisms in TP53 and the promoter region of IL10 with gastric cancer in a Kazakh population

The emerging evidence indicates that single nucleotide polymorphisms (SNPs) of the tumor necrosis factor (TNF), interleukin 10 (IL10), tumor protein p53 (TP53), and cluster of differentiation 14 (CD14) genes may determine individual susceptibility to gastric cancer (GC). We aimed to investigate the associations for polymorphisms of the TNF, IL10, TP53, and CD14 genes in a population of Kazakhs, to identify potential risk or protective associations of the SNPs with GC. A case group of 143 patients hospitalized for GC was enrolled. Controls were 355 volunteers with no history of any cancer and frequency matched with cases by age. Differences in proportions for categorical variables and the assessment of genotypic frequencies conforming to the Hardy-Weinberg equilibrium law were evaluated by the Chi-square test. Associations between genetic polymorphisms and the risk of GC were estimated by regression analysis. For genetic analysis, three genetic models (additive, dominant, and recessive) were used. Four significant associations were found. The SNPs rs1042522 of TP53 and rs1800896 of IL10 were risk factors for GC by the additive model. Two polymorphisms of IL10 were protective of GC, namely, rs1800872 by additive model and rs1800871 by recessive model. No significant associations were observed between the TNF and CD14 polymorphisms and GC. The polymorphisms TP53 rs1042522 and IL10 rs1800896 are associated with GC risk, while the polymorphisms IL10 rs1800872 and rs1800871 are protective of GC in the population of Kazakhs.

Genetic predisposition to celiac disease in Kazakhstan: Potential impact on the clinical practice in Central Asia

Background

Celiac disease (CD) is a systemic immune-mediated disorder developing in HLA genetically predisposed individuals carrying HLA-DQ2 and/or HLA-DQ8 molecules. Recent evidences supported a predominant importance of HLA-DQB1 locus and, in particular, HLA-DQB1*02 alleles. This diagnosis is poorly considered in Kazakhstan, because of the assumption that CD is not prevalent in this population.

Objective

To demonstrate that the genetic predisposition to CD in Kazakhstan is not negligible and is actually comparable to Western populations.

Methods

Through the analysis of HLA-DQ genotypes of healthy bone marrow donors from Kazakhstan’s national registry, we estimated the HLA-related genetic predisposition to CD in the country.

Results

We demonstrated that the frequency of CD-related HLA-DQB1 alleles and, as a consequence, of predisposed individuals to CD in Kazakhstan is significant and comparable to countries with the highest disease prevalence.

Conclusion

Considering the dietary style in Kazakhstan, including wheat as a staple food, these results provided a preliminary background of knowledge to expect a significant CD prevalence in Kazakhstan and Central Asia by implementing appropriate and cost-effective diagnostic strategies.

Genetic Risk Factors for Intracranial Aneurysm in the Kazakh Population

An intracranial aneurysm (IA) is a weak or thin area on a blood vessel in the brain that balloons as it fills with blood. Genetic factors can influence the risk of developing an aneurism. The purpose of this study was to explore the relationship between single nucleotide polymorphisms (SNPs) and IA in Kazakh population. The patients were genotyped for 60 single nucleotide polymorphisms. Genotyping was performed on the QuantStudio 12K Flex (Life Technologies). A linear regression analysis found 13 SNPs' significant association with development and rupture of IA: the rs1800956 polymorphism of the ENG gene, rs1756 46 polymorphism of the JDP2 gene, variant rs1800255 of the COL3A1, rs4667622 of the UBR3, rs2374513 of the c12orf75, rs3742321 polymorphism of the StAR, the rs3782356 polymorphism of MLL2 gene, rs3932338 to 214 kilobases downstream of PRDM9, rs7550260 polymorphism of the ARHGEF, rs1504749 polymorphism of the SOX17, the rs173686 polymorphism of CSPG2 gene, rs6460071 located on LIMK1 gene, and the rs4934 polymorphism of SERPINA3. A total of 13 SNPs were identified as potential genetic markers for the development and risk of rupture of aneurysms in the Kazakh population. Similar results were obtained after adjusting for the confounding factors of arterial hypertension and age.

Type 2 diabetes mellitus: distribution of genetic markers in Kazakh population

Background

Ethnic differences exist in the frequencies of genetic variations that contribute to the risk of common disease. This study aimed to analyse the distribution of several genes, previously associated with susceptibility to type 2 diabetes and obesity-related phenotypes, in a Kazakh population.

Methods

A total of 966 individuals belonging to the Kazakh ethnicity were recruited from an outpatient clinic. We genotyped 41 common single nucleotide polymorphisms (SNPs) previously associated with type 2 diabetes in other ethnic groups and 31 of these were in Hardy–Weinberg equilibrium. The obtained allele frequencies were further compared to publicly available data from other ethnic populations. Allele frequencies for other (compared) populations were pooled from the haplotype map (HapMap) database. Principal component analysis (PCA), cluster analysis, and multidimensional scaling (MDS) were used for the analysis of genetic relationship between the populations.

Results

Comparative analysis of allele frequencies of the studied SNPs showed significant differentiation among the studied populations. The Kazakh population was grouped with Asian populations according to the cluster analysis and with the Caucasian populations according to PCA. According to MDS, results of the current study show that the Kazakh population holds an intermediate position between Caucasian and Asian populations.

Conclusion

A high percentage of population differentiation was observed between Kazakh and world populations. The Kazakh population was clustered with Caucasian populations, and this result may indicate a significant Caucasian component in the Kazakh gene pool.

HLA class I (-A, -B, -C) and class II (-DR, -DQ) polymorphism in the Mauritanian population

BACKGROUND

HLA antigens have been widely studied for their role in transplantation biology, human diseases and population diversity. The aim of this study was to provide the first profile of HLA class I and class II alleles in the Mauritanian population.

METHODS

HLA typing was carried in 93 healthy Mauritanian blood donors, using single specific primer amplification (PCR-SSP).

RESULTS

Occurrences of the main HLA class I (-A, -B, -C) and class II (-DR, -DQ) antigens in the general population showed that out of the 17 HLA-A allele groups detected, five main HLA-A allele groups: A*02 (18.42%), A*01 (14.04%), A*23 (14.04%), A*30 (13.16%) and A*29 (12.28%) were the most common identified along other 12 relatively minor allele groups. Twenty three allele groups were observed in the locus B of which B*07 (13.46%) was the most prevalent followed by B*15, B*35, B*08 and B*27 all, with a frequency between 7 to 8%. Three prevalent HLA-C allele groups (C*02: 35.09%, C*07: 20.19% and C*06: 13.6%) were detected. The main HLA class II observed allele groups were: DRB1*13 (27.42%), DRB1*03 (24.73%), DRB1*11 (13.98%), DQB1*03 (36.03%), DQB1*02 (22.06%) and DQB1*05 (18.8%). Except for few haplotype in class I (A*02-B*07: 4.45%, A*02-C02: 10%, A*23-C*02: 8.8%, B*07-C*02: 8.8%, B*15-C*02: 8.8%) and in class II (DRB1*13-DQB1*06: 11.94%, DRB1*03-DQB1*02:11.19% and DRB1*03-DQB1*03: 10.45%), the majority of locus combination were in the range of 2-3%. A single predominant haplotype C*02-DRB1*03 (16.67%) was found.

CONCLUSIONS

These results, in agreement with previous data using different tissues markers, underlined the ethnic heterogeneity of the Mauritanian population.