HDL and atherosclerotic cardiovascular disease: genetic insights into complex biology

Area of Science:

• Genetics
• Cardiovascular Disease Research
• Molecular Biology

Background:

• Plasma high-density lipoprotein cholesterol (HDL-C) levels are epidemiological predictors of cardiovascular disease (CVD).
• The direct causal role of HDL in CVD remains controversial, with evidence suggesting particle functionality, not just cholesterol content, is key.
• Existing genetic studies (e.g., Mendelian randomization, GWAS) explain only a fraction of HDL-C variation and have identified limited causal pathways.

Purpose of the Study:

• To explore systems genetics and bioinformatic approaches to elucidate HDL pathways.
• To identify new and non-obvious genetic loci influencing HDL metabolism.
• To uncover novel molecular interactions and gene networks governing HDL metabolism for therapeutic development.

Main Methods:

• Utilizing systems genetics to analyze HDL pathways.
• Applying bioinformatic approaches to large-scale genotypic and RNA sequencing data.
• Inferring molecular interactions to define gene modules and networks.

Main Results:

• Identification of new genetic loci and pathways influencing HDL metabolism.
• Revealing biologically meaningful gene modules and networks governing HDL.
• Highlighting the importance of particle functionality over cholesterol content.

Conclusions:

• Systems genetics and bioinformatics offer powerful tools to understand HDL metabolism beyond traditional metrics.
• Novel causal networks in HDL metabolism can be identified through integrated genetic and molecular data.
• Targeting newly recognized HDL causal networks may lead to innovative therapeutic strategies for cardiovascular disease reduction.