Cardiovascular disease genomics

CardioGen – Genetic Variation in Cardiovascular Diseases

A comprehensive Romanian-Moldovan research collaboration examining genetic variations affecting cardiovascular health in Eastern Europe. Leveraging advanced bioinformatics and genomics to identify causal variants linked to hypertrophic cardiomyopathy (HCM) and acute coronary syndromes (ACS), advancing precision cardiovascular medicine.

Multi-tool variant calling 1,650 patient samples Adaptive SKAT analysis ELIXIR platform integration

From data compilation to variant discovery and clinical interpretation through integrated bioinformatics.

Complete analysis pipeline: data → QC → variant calling → interpretation
CardioGen workflow

Project Overview

CardioGen addresses the urgent need for genetic research in Eastern European populations, where cardiovascular diseases remain a major health issue. With limited data on genetic predisposition in Romania and neighboring regions, this project fills critical gaps through comprehensive genomic analysis.

1,650
Total patient samples
174
Cardiac genes analyzed
24
Project months
5
Work packages

European Cardiac Dataset

1,455 publicly available samples representing European ancestry and cardiac diseases.

Romanian HCM Dataset

45 samples targeting 174 cardiac genes with multiple rare variants identified.

Romanian ACS Dataset

150 patients with integrated clinical and genomic data.

Project Objectives

Three integrated aims combining comparative genomic analysis, functional variant assessment, and advanced statistical testing to identify causal genetic variations influencing cardiovascular health in Eastern European populations.

Aim 1: Comparative Variant Analysis

  • Multi-tool variant calling
  • Cross-dataset harmonization
  • Population-specific markers
  • Comparative European analysis

Aim 2: Functional Impact

  • Annotation and scoring
  • Pathway analysis
  • Regulatory impact
  • Genotype-phenotype studies

Aim 3: SKAT Implementation

  • Rare/common variant analysis
  • Adaptive weighting
  • Multivariate testing
  • Pleiotropic effects

Scientific Innovation

  • Romanian genetic study
  • Eastern Europe insights
  • New statistical methods
  • Open bioinformatics tools

Methodology & Work Packages

A 24-month project structured into 5 work packages spanning project management, comparative variant analysis, functional assessment, advanced statistical testing, and knowledge dissemination.

CardioGen analysis workflow

WP1: Project Management (M1-M24)

Coordination, monitoring, and collaboration.

WP2: Variant Analysis

QC, alignment, and genomic analysis.

WP3: Functional Assessment

Annotation and interpretation.

WP4: SKAT

Advanced statistical testing.

WP5: Knowledge Transfer

Publications and platform.

Risk Mitigation

QC protocols and fallback strategies.

Research Team

A complementary Romanian-Moldovan collaboration combining clinical cardiology expertise with advanced bioinformatics and statistical modeling capabilities.

CEHB Romania Team

  • Dr. Miruna Micheu – Project Director, cardiology & genomics
  • Dr. Nicoleta Popa-Fotea – Cardiology & phenotype analysis
  • Dr. Maria Petre – Data analysis & management

TUM Moldova Team

  • Dr. Dumitru Ciorbă – Bioinformatics & coordination
  • Dr. Alexei Leahu – Statistics & SKAT
  • Viorel Munteanu – Genomics & analysis
  • Eugeniu Catlabuga – Software & ML

Research Infrastructure

State-of-the-art facilities and equipment at both partner institutions enabling comprehensive cardiovascular genetics research.

CEHB Romania Facilities

Cardiovascular excellence center with advanced imaging systems.

Medical Genetics Laboratory

DNA sequencing, extraction systems, and full clinical infrastructure.

TUM Moldova – CIRCLE

High-performance computing for bioinformatics analysis.

Research Visits & Collaboration

Year 1: 120 days

Training and collaboration visits

Year 2: 140 days

Extended research exchange

Expected Value

Skills, collaboration, and alignment

Expected Results & Deliverables

Comprehensive outputs spanning high-quality genomic data, variant analysis reports, functional assessments, advanced statistical tools, and scientific dissemination.

  • WP1: Project management, reports, coordination
  • WP2: Data reads, VCF files, comparative analysis
  • WP3: Variant annotation and pathway analysis
  • WP4: SKAT analysis and toolbox
  • WP5: Publications, conferences, platform

Scientific Impact

  • Genetic study of Romanian CVD patients
  • Eastern Europe markers
  • Cardiomyopathy insights
  • New statistical methods
  • Open-access tools
  • Research capacity growth
  • Precision medicine foundation
  • International visibility
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