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

BackgroundKazakhstan has been inhabited by different populations, such as the Kazakh, Kyrgyz, Uzbek and others. Here we investigate allelic and haplotypic polymorphisms of human leukocyte antigen (HLA) genes at DRB1, DQA1 and DQB1 loci in the Kazakh ethnic group, and their genetic relationship between world populations.Methodology/principal findingsA total of 157 unrelated Kazakh ethnic individuals from Astana were genotyped using sequence based typing (SBT-Method) for HLA-DRB1, -DQA1 and -DQB1 loci. Allele frequencies, neighbor-joining method, and multidimensional scaling analysis have been obtained for comparison with other world populations. Statistical analyses were performed using Arlequin v3.11. Applying the software PAST v. 2.17 the resulting genetic distance matrix was used for a multidimensional scaling analysis (MDS). Respectively 37, 17 and 19 alleles were observed at HLA-DRB1, -DQA1 and -DQB1 loci. The most frequent alleles were HLA-DRB1*07:01 (13.1%), HLA-DQA1*03:01 (13.1%) and HLA-DQB1*03:01 (17.6%). In the observed group of Kazakhs DRB1*07:01-DQA1*02:01-DQB1*02:01 (8.0%) was the most common three loci haplotype. DRB1*10:01-DQB1*05:01 showed the strongest linkage disequilibrium. The Kazakh population shows genetic kinship with the Kazakhs from China, Uyghurs, Mongolians, Todzhinians, Tuvinians and as well as with other Siberians and Asians.Conclusions/significanceThe HLA-DRB1, -DQA1 and -DQB1 loci are highly polymorphic in the Kazakh population, and this population has the closest relationship with other Asian and Siberian populations

Baseline data on number of alleles in the Kazakh population (Astana) and average heterozygosity.

<p>Baseline data on number of alleles in the Kazakh population (Astana) and average heterozygosity.</p

The Most frequent of DRB1-DQA1-DQB1 extended haplotypes and their frequencies in the Kazakh population (Astana).

a<p>Found in Buryats (22.0%); Khanty-Mansi (16.9%) Kazakhs (China) (8.3%).</p>b<p>Found in Italians (Sardinia) (25.3%); Russia (North-west) (9.0%); Kazakhs (China) (13.1%).</p>c<p>Found in Khanty-Mansi (8.1%); Italians (7.6%), Todzhinians (6.8%); Russia (North-west) (5.5%). Kazakhs (China) (4.8%);</p>d<p>Found in South Korea (2.9%).</p>e<p>Not found in any other population.</p>f<p>Found in Todzhinians (22.5%); English (14.1%), Australia Aborigine (10.0%); Russia (North-west) (9.0%); Kazakhs (China) (2.4%).</p>g<p>Found in Italians (14.1%); Slovenes (11.4%).</p>h<p>Found in Australia Aborigine (7.0%).</p>i<p>Found in Japan (8.2%); Mongolians (6.5%); Kazakhs (China) (2.4%).</p>j<p>Found in Khanty-Mansi (8.1%); Italians (7.6%); Kazakhs (China) (4.8%).</p>k<p>Found in Cameroon Yaounde (1.2%).</p>l<p>Found in Italians (1.9%); Tuva (1.1%).</p><p>The Most frequent of DRB1-DQA1-DQB1 extended haplotypes and their frequencies in the Kazakh population (Astana).</p

Neighbor-joining dendrogram based on HLA allele frequencies.

<p>Dendroram constructed by the neighbor-joining method showing the relationship between Kazakh populations with other populations based on the frequencies of HLA-DRB1 loc.</p

Haplotype frequency and significant linkage disequilibrium parameter of HLA two-loci haplotypes in Kazakh population (Astana).

a<p>Number of times;</p>b<p>Haplotype frequency;</p>c<p>D Linkage disequilibrium;</p>d<p>Only t values ≥ 2.0 were considered significant.</p><p>Haplotype frequency and significant linkage disequilibrium parameter of HLA two-loci haplotypes in Kazakh population (Astana).</p

Territory of the Republic of Kazakhstan.

<p>Territory of the Republic of Kazakhstan.</p

Allelic frequency of HLA-DRB1, -DQA1 and -DQB1 loci in the Kazakh population (Astana).

<p>Allelic frequency of HLA-DRB1, -DQA1 and -DQB1 loci in the Kazakh population (Astana).</p

The HLA-net GENE[RATE] pipeline for effective HLA data analysis and its application to 145 population samples from Europe and neighbouring areas

In this review, we present for the first time an integrated version of the Gene[rate] computer tools which have been developed during the last 5 years to analyse human leukocyte antigen (HLA) data in human populations, as well as the results of their application to a large dataset of 145 HLA-typed population samples from Europe and its two neighbouring areas, North Africa and West Asia, now forming part of the Gene[va] database. All these computer tools and genetic data are, from now, publicly available through a newly designed bioinformatics platform, HLA-net, here presented as a main achievement of the HLA-NET scientific programme. The Gene[rate] pipeline offers user-friendly computer tools to estimate allele and haplotype frequencies, to test Hardy-Weinberg equilibrium (HWE), selective neutrality and linkage disequilibrium, to recode HLA data, to convert file formats, to display population frequencies of chosen alleles and haplotypes in selected geographic regions, and to perform genetic comparisons among chosen sets of population samples, including new data provided by the user. Both numerical and graphical outputs are generated, the latter being highly explicit and of publication quality. All these analyses can be performed on the pipeline after scrupulous validation of the population sample's characterisation and HLA typing reporting according to HLA-NET recommendations. The Gene[va] database offers direct access to the HLA-A, -B, -C, -DQA1, -DQB1, -DRB1 and -DPB1 frequencies and summary statistics of 145 population samples having successfully passed these HLA-NET 'filters', and representing three European subregions (South-East, North-East and Central-West Europe) and two neighbouring areas (North Africa, as far as Sudan, and West Asia, as far as South India). The analysis of these data, summarized in this review, shows a substantial genetic variation at the regional level in this continental area. These results have main implications for population genetics, transplantation and epidemiological studies. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd 83 5 May 2014 10.1111/tan.12356 Review article Review article © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.SCOPUS: re.jinfo:eu-repo/semantics/publishe