Department of Medical Chemistry, Biochemistry and Clinical Chemistry, Faculty of Medicine, University of Osijek, J. Huttlera 4, HR-31000, Osijek, Croatia.
Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacký University, Hnevotinska 3, 775 15, Olomouc, Czech Republic.
Sci Rep. 2020 Mar 26;10(1):5513. doi: 10.1038/s41598-020-62175-9.
Next-generation sequencing (NGS) is increasingly used in transplantation settings, but also as a method of choice for in-depth analysis of population-specific HLA genetic architecture and its linkage to various diseases. With respect to complex ethnic admixture characteristic for East Croatian population, we aimed to investigate class-I (HLA-A, -B, -C) and class-II (HLA-DRB1, -DQA1, -DQB1) HLA diversity at the highest, 4-field resolution level in 120 healthy, unrelated, blood donor volunteers. Genomic DNA was extracted and HLA genotypes of class I and DQA1 genes were defined in full-length, -DQB1 from intron 1 to 3' UTR, and -DRB1 from intron 1 to intron 4 (Illumina MiSeq platform, Omixon Twin algorithms, IMGT/HLA release 3.30.0_5). Linkage disequilibrium statistics, Hardy-Weinberg departures, and haplotype frequencies were inferred by exact tests and iterative Expectation-Maximization algorithm using PyPop 0.7.0 and Arlequin v3.5.2.2 software. Our data provide first description of 4-field allele and haplotype frequencies in Croatian population, revealing 192 class-I and class-II alleles and extended haplotypic combinations not apparent from the existing 2-field HLA reports from Croatia. This established reference database complements current knowledge of HLA diversity and should prove useful in future population studies, transplantation settings, and disease-associated HLA screening.
下一代测序(NGS)越来越多地用于移植环境中,但也被用作分析特定人群 HLA 遗传结构及其与各种疾病之间关联的首选方法。鉴于克罗地亚东部人口特有的复杂种族混合特征,我们旨在以最高的 4 字段分辨率水平,在 120 名健康、无关联的献血志愿者中,调查 I 类(HLA-A、-B、-C)和 II 类(HLA-DRB1、-DQA1、-DQB1)HLA 多样性。提取基因组 DNA,通过全长度(Illumina MiSeq 平台,Omixon Twin 算法,IMGT/HLA release 3.30.0_5)、内含子 1 到 3'UTR 的-DQB1 和内含子 1 到内含子 4 的-DRB1 来定义 I 类和 DQA1 基因的 HLA 基因型。通过精确测试和迭代期望最大化算法,使用 PyPop 0.7.0 和 Arlequin v3.5.2.2 软件推断连锁不平衡统计、Hardy-Weinberg 偏离和单倍型频率。我们的数据首次描述了克罗地亚人群中的 4 字段等位基因和单倍型频率,揭示了 192 个 I 类和 II 类等位基因和扩展的单倍型组合,这些在现有的克罗地亚 2 字段 HLA 报告中并不明显。这个建立的参考数据库补充了当前 HLA 多样性的知识,应该在未来的人群研究、移植环境和与疾病相关的 HLA 筛选中证明是有用的。