Genotype-phenotype insights of pediatric dilated cardiomyopathy

Ying Dai1, Yan Wang1, Youfei Fan1

  • 1Department of Pediatrics, Shandong Province Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Frontiers in Pediatrics
|February 17, 2025
PubMed

Insights

Pediatric dilated cardiomyopathy (DCM) has significant genetic diversity, with over 100 genes identified. Understanding these genetic variations is key to improving diagnosis and treatment for children with this severe heart condition.

Area of Science:

  • Cardiology
  • Genetics
  • Pediatric Medicine

Background:

  • Dilated cardiomyopathy (DCM) in children is a severe heart muscle disease leading to enlarged ventricles and impaired function.
  • It can result in serious complications like heart failure, sudden death, and arrhythmias.
  • Pediatric DCM presents unique genetic characteristics distinct from adult forms.

Purpose of the Study:

  • To review recent advancements in genotype and phenotype research for pediatric DCM.
  • To highlight the genetic heterogeneity and its impact on disease presentation and prognosis in children.
  • To emphasize the importance of genotype-phenotype correlations for precision medicine.

Main Methods:

  • Review of current literature on genetic sequencing technologies and DCM research.
  • Analysis of identified DCM-related genes and their functional roles (calcium handling, cytoskeleton, ion channels).
  • Discussion of clinical phenotyping, familial cosegregation, and functional validation studies.

Main Results:

  • Over 100 DCM-related genes have been identified, revealing significant genetic heterogeneity.
  • Genetic variations across the genome influence DCM phenotypes in children.
  • Pediatric DCM is characterized by early onset, rapid progression, and poor prognosis, linked to its distinct genetic architecture.

Conclusions:

  • Clarifying genotype-phenotype relationships is crucial for accurate diagnosis and improved prognosis in pediatric DCM.
  • Genetic testing and understanding genotype-phenotype correlations can guide personalized treatment strategies.
  • Further research into novel pathogenic genes and mutations is needed for precise diagnosis and management.

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