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Updated: Jan 10, 2026

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
Published on: August 8, 2022
Correlation of Differential Gene Expression and Clinical Variations in Hypertrophic Cardiomyopathy via Whole Genome
Prashantha Cn1, Ramachandra R1, Guruprasad Nm1
1Department of Biotechnology, School of Applied Sciences, REVA University, Bangalore, Karnataka, India.
Insights
This study identifies key genes like MYH7 and MYBPC3 involved in hypertrophic cardiomyopathy (HCM) through genetic analysis. Findings offer insights into HCM molecular mechanisms and potential biomarkers for this heart muscle disorder.
Area of Science:
- Cardiovascular Genetics
- Molecular Biology
- Genomics
Background:
- Hypertrophic cardiomyopathy (HCM) is a common heart condition characterized by heart muscle thickening.
- Genetic mutations, lifestyle, and environmental factors contribute to HCM development.
- The MYBPC3 gene is a known significant factor in HCM pathogenesis.
Purpose of the Study:
- To computationally predict gene mutations and functional biomarkers for hypertrophic cardiomyopathy (HCM).
- To identify differentially expressed genes and variant genes associated with HCM using genomic datasets.
- To understand the molecular mechanisms underlying HCM through integrated analysis.
Main Methods:
- Utilized RNA-sequencing and whole exome sequencing datasets from the Gene Expression Omnibus (GEO) database.
- Analyzed 12 RNA-sequencing samples (4 controls, 8 HCM cases) and 12 exome sequencing datasets.
- Performed computational analyses to identify differentially expressed and variant genes.
Main Results:
- Identified top 20 differentially expressed genes in HCM, with MYH7 showing the highest expression.
- MYH7 demonstrated a strong association with HCM, similar to MYBPC3.
- Whole exome sequencing revealed variant genes including MYBPC3, MYH6, MYH7, and others previously linked to HCM.
Conclusions:
- Integrated analysis reveals correlations between gene expression patterns and clinical variants in HCM.
- Identified potential genetic contributors and functional biomarkers for hypertrophic cardiomyopathy.
- Provides valuable insights into the molecular mechanisms driving HCM pathogenesis.
Abstract:
Hypertrophic cardiomyopathy (HCM) is a prevalent cardiovascular disorder affecting populations worldwide, characterized by abnormal thickening of the heart muscle.(Supporting S1) The development of HCM is influenced by multiple factors, including genetic mutations, geographical conditions, lifestyle, and environmental exposures. The availability of extensive genomic datasets in public repositories provides an opportunity to identify potential genetic contributors and functional biomarkers associated with HCM. Previous studies have highlighted the pivotal role of the MYBPC3 gene in the pathogenesis of HCM. In this study, computational analyses were performed to predict gene mutations and functional biomarkers using RNA-sequencing and whole exome sequencing datasets. A total of 12 RNA-sequencing samples, comprising four healthy controls and eight HCM cases, along with 12 exome sequencing datasets, were retrieved from the Gene Expression Omnibus (GEO) database. RNA-sequencing analysis identified the top 20 differentially expressed genes associated with HCM, including MIB2, ZBTB48, MYBPC3, PRPF40B, CD27-AS1, MYH7, WDR90, KDM8, BCAM, ZSWIM9, KANK3, CCDC85A, ZNF512B, POLR3H, NUP210, PSMG4, GPLD1, GNL1, SH2D3C, and COL4A6. Among these, MYH7 exhibited the highest expression level, showing strong similarity to MYBPC3 in its association with HCM. Whole exome sequencing analysis further identified a panel of variant genes including MYBPC3, MYH6, MYH7, TNT, Titin, Desmin, ACE1, TGF-beta, Ang-2, SGCG, SGCA, DMD, and LaminA/C, all previously implicated in HCM pathophysiology. This integrative study underscores the correlation between differential gene expression patterns and clinical variants in HCM, providing valuable insights into the molecular mechanisms underlying the disease.
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