Related Experiment Video

Updated: May 31, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
07:15

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

Published on: January 16, 2019

CardioVar: a machine learning framework for pathogenicity prediction of cardiomyopathy genetic variants

Nabras Al-Mahrami1, Aaisha Albalushi2, Fahad Al Hattali2

  • 1Medical Laboratory Sciences Program, Oman College of Health Sciences, Muscat, PO 112 , Oman.

Bioinformatics Advances
|May 29, 2026
PubMed

Insights

CardioVar, a machine learning framework, rapidly predicts the pathogenicity of genetic variants linked to cardiomyopathy. This tool aids cardiogenetic variant interpretation, showing 85% concordance with existing methods.

Area of Science:

  • Genetics
  • Cardiology
  • Bioinformatics

Background:

  • Cardiomyopathy-associated genetic variants require accurate pathogenicity prediction for clinical interpretation.
  • Existing pan-disease models may not fully capture the nuances of cardiomyopathy-specific variants.

Purpose of the Study:

  • To introduce CardioVar, a machine learning framework for predicting the pathogenicity of genetic variants associated with cardiomyopathy.
  • To provide a rapid, disease-focused classification score to aid variant interpretation in cardiogenetic workflows.

Main Methods:

  • Development of a machine learning framework (CardioVar).
  • Application of the framework to predict pathogenicity of cardiomyopathy-associated genetic variants.
  • Evaluation of CardioVar's performance in prospective case study settings.

Main Results:

  • CardioVar provides a rapid and disease-focused classification score for genetic variants.
  • The framework supports variant interpretation within cardiac-related genes.
  • CardioVar demonstrated an 85% concordance with conventional tertiary analysis results in prospective case studies.

Conclusions:

  • CardioVar offers a valuable tool for supporting variant interpretation in cardiogenetic workflows.
  • This cardiomyopathy-specific approach complements existing pan-disease models.
  • The framework shows promising concordance with established analysis methods.
Abstract

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

Related Concept Videos

Cardiomyopathy I: Introduction and Classification01:25

Cardiomyopathy I: Introduction and Classification

Cardiomyopathy, or CMP, is a group of diseases affecting the myocardial structure, impairing its ability to pump blood effectively. This condition can lead to arrhythmias, heart failure, or sudden cardiac death.Cardiomyopathies are classified into primary and secondary categories:Primary Cardiomyopathy refers to conditions involving only the heart muscle that are often idiopathic (of unknown cause) or genetic. They primarily affect the myocardium without the involvement of other systemic...
Cardiomyopathy II: Dilated Cardiomyopathy01:30

Cardiomyopathy II: Dilated Cardiomyopathy

Dilated cardiomyopathy, or DCM, is a progressive myocardial disorder characterized by ventricular chamber dilation and contractile dysfunction.EtiologyVarious factors can cause DCM, including hypertension and heavy alcohol intake, which contribute to the weakening and enlargement of the heart muscle. Viral infections, such as Coxsackievirus B, adenoviruses, and influenza, can lead to DCM by causing inflammation and damage to heart tissue. Certain chemotherapeutic agents, including daunorubicin,...
Cardiomyopathy III: Hypertrophic Cardiomyopathy01:29

Cardiomyopathy III: Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy, or HCM, is an autosomal dominant genetic disorder characterized by asymmetric left ventricular hypertrophy without ventricular dilation. It is more common in men and is typically diagnosed in young, athletic adults.EtiologyHCM is primarily genetic and is caused by mutations in genes encoding sarcomeric proteins. Researchers have identified over 1400 mutations across at least 11 different genes. Among these, the most frequently occurring mutations are found in the...
Cardiomyopathy IV: Restrictive Cardiomyopathy01:29

Cardiomyopathy IV: Restrictive Cardiomyopathy

Restrictive cardiomyopathy (RCM) is a rare heart muscle disease characterized by impaired ventricular filling due to stiffened ventricular walls, leading to significant diastolic dysfunction.EtiologyRestrictive cardiomyopathy can arise from both inherited and acquired diseases, many of which are systemic. It is categorized into four main types: infiltrative, storage, non-infiltrative, and endomyocardial diseases.Infiltrative diseases, such as amyloidosis, lead to RCM by depositing amyloid...
Animal Mitochondrial Genetics02:59

Animal Mitochondrial Genetics

Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...
Principles of Pharmacogenetics: Types of Genetic Variants01:27

Principles of Pharmacogenetics: Types of Genetic Variants

The human genome is over 99.9% identical between individuals, yet genetic differences exist at millions of bases. The human genome contains approximately 3 million variant positions per individual, many of which are heterozygous, contributing to genetic diversity and individual traits. Genetic variations include single-nucleotide polymorphisms (SNPs), insertions, deletions, and copy number variations (CNVs).SNPs, the most common variation, involve single-base changes in DNA. These can be...