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Published on: November 24, 2020
Hypertriglyceridemia: phenomics and genomics.
Robert A Hegele1, Rebecca L Pollex
1Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, N6A 5K8, Canada. hegele@robarts.ca
Genetic factors significantly influence high triglyceride levels (hypertriglyceridemia), a condition linked to heart disease and metabolic syndrome. Research identifies both rare and common genetic variants contributing to triglyceride variation.
Area of Science:
- Genetics
- Metabolic Disorders
- Cardiovascular Disease Risk
Background:
- Hypertriglyceridemia is a prevalent metabolic condition associated with increased risk of atherosclerosis, metabolic syndrome, and pancreatitis.
- Understanding the genetic underpinnings of hypertriglyceridemia is crucial for risk stratification and therapeutic strategies.
Purpose of the Study:
- To explore the genetic determinants of plasma triglyceride concentrations.
- To investigate the contribution of both rare and common genetic variants to triglyceride variation.
- To assess the potential of phenomic evaluation in understanding genotype-phenotype correlations in hypertriglyceridemia.
Main Methods:
- Hierarchical cluster analysis of clinical and biochemical features (Frederickson hyperlipoproteinemia types).
- High-throughput resequencing of individuals with extreme plasma triglyceride concentrations.
- Genome-wide marker analysis in normolipidemic subjects.
Main Results:
- Both rare genetic variants with large effects and common variants with moderate effects explain a significant proportion of triglyceride variation.
- Recent genome-wide studies have identified additional genetic determinants, though often with small effect sizes.
- Genetic factors play a substantial role in determining plasma triglyceride levels.
Conclusions:
- Genetic variations are key contributors to plasma triglyceride levels.
- Further phenomic evaluation may enhance understanding of genotype-phenotype relationships and treatment responses in hypertriglyceridemia.
- Identifying genetic determinants aids in understanding atherosclerosis and metabolic syndrome risks.
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