The comprehensive detection of hemoglobinopathy variants via long-read sequencing
Abstract
ABSTRACT BACKGROUND The genetic complexity of hemoglobin genes, characterized by high GC content and homologous sequences, poses significant challenges for detecting hemoglobin variants in clinical settings. METHODS A long-read indexed PCR method utilizing the novel CycloneSEQ nanopore sequencing platform was developed to detect all variant types, including single nucleotide variants (SNVs), deletions, structural variants (SVs) in HBA, HBB, HBD , and HBG genes. The method was validated using 507 clinical samples to assess its performance. RESULTS The long-read indexed PCR system employed 13 primers targeting the hemoglobin gene clusters. This design enabled the detection of 37 types of HBA deletions, 5 SV (3 multicopies (αααα, ααα anti3.7 , ααα anti4.2 ) and 2 fusion allele ( HK αα and anti-HK αα)), 37 HBB deletions, and all SNVs in the targeted regions. Validation across 507 samples (84 with HBA variants, 60 with HBB variants, 256 with both HBA and HBB variants, and 107 with no known variants) demonstrated 100.0% sensitivity and specificity. Additionally, the long-read sequencing enabled phasing of variants within hemoglobin genes, providing insights critical for clinical interpretation. CONCLUSIONS The long-read indexed PCR method, combined with the CycloneSEQ nanopore sequencing platform, proved to be a robust and efficient solution for detecting hemoglobinopathy variants. The integration of indexed primers and barcoding enhances scalability, making this method ideal for large-scale population screening programs in the future.
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Authors: Jiale Xiang, Jiguang Peng, Xiangzhong Sun, Jiang Chen, Huiru Zhao, Yaya Guo, Haiyan Xu, Shanshan Gu, Haodong Ye, Long You, Xiaoyan Huang, Shiping Chen, Baosheng Zhu, Zhiyu Peng
Institutions: University of Chinese Academy of Sciences, Hunan Normal University, ID Genomics (United States), First People's Hospital of Yunnan Province, BGI Group (China), Changsha Hospital for Maternal and Child Health Care, BGI Genomics, Botswana Geoscience Institute