Genetic Dissection of Hypertrophic Cardiomyopathy with Myocardial RNA-Seq

Jun Gao1,2, John Collyer3, Maochun Wang4

  • 1Department of Genetics, Genomics, and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.

Insights

Hypertrophic cardiomyopathy (HCM) is complex, involving multiple gene mutations and non-coding RNAs. This study identified new genetic variants and networks, revealing deeper insights into HCM progression.

Area of Science:

  • Genomics
  • Cardiovascular Genetics
  • Molecular Biology

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart muscle disorder.
  • Mutations in MYH7 and MYBPC3 explain most HCM cases, but phenotype heterogeneity suggests other genetic factors.
  • Novel genetic contributors and modifiers are crucial for understanding HCM complexity.

Purpose of the Study:

  • To systematically analyze RNA-seq data from HCM patients and controls.
  • To identify novel pathogenic variants, differentially expressed genes, and regulatory networks in HCM.
  • To elucidate the complex genetic architecture underlying hypertrophic cardiomyopathy.

Main Methods:

  • RNA sequencing (RNA-seq) data analysis from 28 HCM patients and 9 healthy controls.
  • Pathogenic variant identification, differential gene expression analysis, and gene co-expression/protein-protein interaction network analyses.
  • Gene enrichment and subnetwork analyses to identify key pathways and interactions.

Main Results:

  • Identified 43 potential pathogenic variants in 19 genes across 24 HCM patients, including known HCM genes (MYBPC3, MYH7) and novel candidates.
  • Detected differential expression in 2538 protein-coding genes, 6 microRNAs (miRNAs), and 1617 long noncoding RNAs (lncRNAs).
  • Highlighted four key subnetworks (mtDNA, DSP, MYH7, MYBPC3) potentially involved in HCM progression.

Conclusions:

  • HCM is a complex genetic disorder influenced by multiple protein-coding gene mutations.
  • Non-coding RNAs (miRNAs, lncRNAs) and altered gene networks play significant roles in HCM pathogenesis.
  • This study provides a comprehensive genetic and network-based view of HCM, identifying potential therapeutic targets.