ORIGINAL RESEARCH article
Front. Immunol.
Sec. Alloimmunity and Transplantation
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1551173
This article is part of the Research TopicBalancing Alloantigen-Induced Immune Responses and Anti-tumor Immunity in TransplantationView all 16 articles
Optimized Multiplex PCR-NGS for Comprehensive HLA Genotyping in Chinese Populations: Resolving Ambiguities at High Resolution
Provisionally accepted- 1Jiangsu University, Zhenjiang, China
- 2AlloDx (Shanghai) Biotech Co, Ltd, Shanghai, China
- 3The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China
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Accurate human leukocyte antigen (HLA) genotyping is critical for organ transplantation to ensure donor-recipient compatibility. Conventional methods, such as sequence-based typing (SBT), often face challenges in resolving allelic ambiguities, particularly in highly polymorphic regions of HLA loci. Therefore, this study aimed to develop 6 locus multiplex primers combined with high-resolution sequencing, focusing on improving sequencing depth and reducing costs. Multiplex PCR primers targeting HLA-A, -B, -C, -DPB1, -DQB1, -DRB1 loci were designed using high-frequency alleles from public databases. Primers were optimized using as reference the sequencing depth across loci. The method was validated using SBT and probe capture-based targeted next-generation sequencing to evaluate its approach accuracy. Moreover, 770 samples from Chinese population were further studied to verify the allele frequency adding information about HLA types of this population. The optimized multiplex PCR-NGS sequencing showed depths within a target range of 100-1000 with high accuracy determined in the two-digit, four-digit and six-digit, with a reliability of ≥ 98%, ≥ 95% and ≥ 95% respectively in both methods.The developed multiplex PCR-NGS method offers a reliable, cost-effective approach for high-resolution HLA genotyping, and may be particularly suitable for clinical studies, especially in donor-recipient matching during organ transplantation.
Keywords: HLA matching, Deep sequencing, Next-generation sequencing, Multilocus Sequence Typing, HLA alleles
Received: 24 Dec 2024; Accepted: 02 Jun 2025.
Copyright: © 2025 Cuello Garcia, Wang, Zhang, Cao, Zhu, Ouzaouit, Huang, Liu, Jiang, Dong, Zhou and Wu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yang Zhou, Jiangsu University, Zhenjiang, China
Yu Wu, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province, China
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