The application of next-generation sequencing technology in congenital haemolytic anaemia: a systematic review and

Shuning Xie1, Yanling Zhong2

  • 1Blood Transfusion Department, The Seventh Affiliated Hospital, Sun Yat-Sen University, No. 628, Zhenyuan Road, Xinhu Street, Guangming District, Shenzhen City, 518107, Guangdong Province, China.

PubMed

Insights

Next-generation sequencing (NGS) effectively diagnoses congenital hemolytic anemia (CHA), identifying genetic causes in nearly half of all patients. This advanced genetic testing shows higher success rates in familial cases and specific anemia subtypes, supporting its use in clinical practice.

Area of Science:

  • Hematology
  • Genetics
  • Medical Diagnostics

Background:

  • Congenital hemolytic anemia (CHA) presents significant diagnostic challenges due to its genetic complexity.
  • Current diagnostic approaches often struggle to identify the underlying genetic cause of CHA.

Purpose of the Study:

  • To systematically review and meta-analyze the diagnostic efficacy of next-generation sequencing (NGS) for congenital hemolytic anemia (CHA).
  • To evaluate the performance of NGS across different CHA subtypes and patient demographics.

Main Methods:

  • Systematic literature search of PubMed and Web of Science databases until April 2025.
  • Inclusion of studies utilizing NGS techniques (WES, WGS, CES, targeted panels) in CHA patients.
  • Random-effects meta-analysis to calculate pooled positive detection rates and confidence intervals, with subgroup analyses.

Main Results:

  • The pooled positive detection rate for NGS in CHA was 44.3% (95% CI: 32.4-56.3%).
  • Detection rates were significantly higher in patients with a family history (51.0%) compared to sporadic cases (16.9%).
  • Red cell membrane disorders showed the highest diagnostic yield (45.3%), with SPTB, ANK1, and SPTA1 being key genes.

Conclusions:

  • NGS offers substantial diagnostic utility for CHA, resolving nearly half of cases and over 50% of familial presentations.
  • The findings support the integration of NGS into first-line CHA diagnostics, particularly targeted gene panels for cost-effectiveness.
  • Specific gene mutations (SPTB, PKLR, ANK1, SLC4A1, SPTA1) are frequently identified, aiding in diagnosis and understanding disease mechanisms.