SMN2 Copy Number Association with Spinal Muscular Atrophy Severity: Insights from Colombian Patients

José Lamadrid-González1, Sandra Castellar-Leones2, Julio César Contreras-Velásquez3

  • 1Programa de Maestría en Genética, Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla, Atlántico 080003, Colombia.

PubMed

Insights

This study reveals a significant link between the number of SMN2 gene copies and spinal muscular atrophy (SMA) type in Colombian patients. Understanding this association is key for personalized SMA treatment strategies.

Area of Science:

  • Neurology
  • Genetics
  • Pediatrics

Background:

  • Spinal muscular atrophy (SMA) is a severe genetic neurodegenerative disorder impacting primarily pediatric patients.
  • It is characterized by significant morbidity and mortality, necessitating further research into its genetic underpinnings and clinical presentation.
  • The SMN2 gene copy number is a critical determinant of SMA severity.

Purpose of the Study:

  • To characterize the sociodemographic profile of SMA patients in Colombia.
  • To investigate the association between SMN2 gene copy number and SMA type within this cohort.
  • To inform personalized diagnostic and therapeutic approaches for SMA.

Main Methods:

  • An analytical cross-sectional study of 201 genetically diagnosed SMA patients from the FAMECOL database (2013-2024).
  • Sociodemographic data and SMN2 copy numbers were extracted from patient records.
  • Fisher's exact test was used to assess the association between SMA type and SMN2 copy number (1-5 copies).

Main Results:

  • The study included 201 patients, with 58% males and a median age of 9 years.
  • Median age at diagnosis varied by SMA type (2, 7, 14, and 41.5 years).
  • A statistically significant association (p < 0.05) was found between SMA type and the number of SMN2 copies.

Conclusions:

  • SMA exhibits significant clinical variability, strongly correlated with the number of SMN2 gene copies.
  • This correlation emphasizes the need for individualized diagnosis and management strategies for SMA.
  • Findings can guide the development of more effective therapeutic interventions to enhance patient quality of life.