BMC Medical Genomics (Sep 2023)

Diagnostic yield of targeted next-generation sequencing for pediatric hereditary hemolytic anemia

  • Yu Jeong Choi,
  • Hongkyung Kim,
  • Won Kee Ahn,
  • Seung-Tae Lee,
  • Jung Woo Han,
  • Jong Rak Choi,
  • Chuhl Joo Lyu,
  • Seungmin Hahn,
  • Saeam Shin

DOI
https://doi.org/10.1186/s12920-023-01648-y
Journal volume & issue
Vol. 16, no. 1
pp. 1 – 7

Abstract

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Abstract Background Hereditary hemolytic anemia (HHA) refers to a heterogeneous group of genetic disorders that share one common feature: destruction of circulating red blood cells (RBCs). The destruction of RBCs may be due to membranopathies, enzymopathies, or hemoglobinopathies. Because these are genetic disorders, incorporation of next-generation sequencing (NGS) has facilitated the diagnostic process of HHA. Method Genetic data from 29 patients with suspected hereditary anemia in a tertiary hospital were retrospectively reviewed to evaluate the efficacy of NGS on hereditary anemia diagnosis. Targeted NGS was performed with custom probes for 497 genes associated with hematologic disorders. After genomic DNA was extracted from peripheral blood, prepared libraries were hybridized with capture probes and sequenced using NextSeq 550Dx (Illumina, San Diego, CA, USA). Result Among the 29 patients, ANK1 variants were detected in five, four of which were pathogenic or likely pathogenic variants. SPTB variants were detected in six patients, five of which were classified as pathogenic or likely pathogenic variants. We detected g6pd pathogenic and spta1 likely pathogenic variants in two patients and one patient, respectively. Whole-gene deletions in both HBA1 and HBA2 were detected in two patients, while only HBA2 deletion was detected in one patient. One likely pathogenic variant in PLKR was detected in one patient, and one likely pathogenic variant in ALAS2 was detected in another. Conclusion Here, NGS played a critical role in definitive diagnosis in 18 out of 29 patients (62.07%) with suspected HHA. Thus, its incorporation into the diagnostic workflow is crucial.

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