Genetic Profile of Beta-Thalassemia and Sickle Cell Disease in Eastern Uttar Pradesh

Priyanka Aggarwal1, Akhtar Ali2, Vineeta Gupta3

  • 1Division of Pediatric Hematology Oncology, Department of Pediatrics, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India. Correspondence to: Dr Priyanka Aggarwal, Division of Pediatric Hematology Oncology, Department of Pediatrics, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India. tamanna.horizon@gmail.com.

Indian Pediatrics
|September 13, 2024
PubMed

Insights

This study analyzed hemoglobin subunit beta (HBB) gene mutations in children with beta-thalassemia and sickle cell disease (SCD) in India. IVS 1-5 was the most frequent mutation, with novel mutations also identified.

Area of Science:

  • Genetics
  • Hematology
  • Molecular Biology

Background:

  • Beta-thalassemia and sickle cell disease (SCD) are significant public health concerns, particularly in certain regions of India.
  • Understanding the spectrum of hemoglobin subunit beta (HBB) gene mutations is crucial for genetic counseling and diagnosis.

Purpose of the Study:

  • To determine the prevalence of various HBB gene mutations in children diagnosed with beta-thalassemia and SCD.
  • To identify common and novel HBB gene mutations in pediatric patients from Uttar Pradesh, Jharkhand, Chhattisgarh, and Bihar.

Main Methods:

  • Genotyping of 133 children with beta-thalassemia and 23 children with SCD.
  • Analysis of HBB gene mutations using molecular techniques.

Main Results:

  • The IVS 1-5 mutation was the most prevalent (n=42).
  • Mutations CD41/42 and CD8/9 were observed with equal frequency (n=4 each).
  • Novel mutations, including c.47G>A, c.51del, and c.123delT, were identified in the Uttar Pradesh population.

Conclusions:

  • The IVS 1-5 mutation is a dominant HBB gene mutation in the studied pediatric population.
  • The identification of previously unreported mutations highlights the genetic diversity of hemoglobinopathies in the region.
  • This data is vital for regional genetic screening programs and understanding disease burden.

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