Disentangling Genetic Risks for Metabolic Syndrome.
Eva S van Walree1,2, Iris E Jansen2, Nathaniel Y Bell2
1Department of Clinical Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
This study reveals a shared genetic factor underlies metabolic syndrome (MetS) components, identifying new genetic loci. These findings offer insights into MetS genetics and potential drug targets for this widespread condition.
Area of Science:
- Genetics
- Metabolic Disorders
- Cardiovascular Health
Background:
- Metabolic syndrome (MetS) affects a quarter of the global population, increasing risks for heart disease, type 2 diabetes, and premature death.
- Understanding the genetic underpinnings of MetS is crucial for developing effective interventions and reducing healthcare burdens.
Purpose of the Study:
- To investigate if the genetics of metabolic syndrome components align with their observed phenotypic clustering.
- To identify novel genetic loci associated with a common genetic factor influencing MetS.
Main Methods:
- Utilized a multivariate approach analyzing genetic correlations among key MetS components: fasting glucose, HDL cholesterol, systolic blood pressure, triglycerides, and waist circumference.
- Performed a genome-wide association study (GWAS) on a derived genetic factor capturing these correlations, employing a one-factor model.
- Developed a polygenic risk score based on the MetS factor GWAS findings.
Main Results:
- A single genetic factor effectively models the genetic correlations among MetS components.
- The common genetic factor GWAS identified 235 associated loci, significantly expanding upon previous research.
- A substantial proportion of these loci (22.5%) are linked to multiple MetS components, highlighting MetS heterogeneity.
- Genes at associated loci show enriched expression in brain regions, particularly GABAergic and dopaminergic neurons.
- The polygenic risk score explained 5.9% of the variance in MetS.
Conclusions:
- Metabolic syndrome is a genetically complex and heterogeneous disorder.
- The identified genetic factor and loci provide mechanistic insights into MetS development.
- Findings suggest potential therapeutic strategies, including drugs like fenofibrate, targeting multiple MetS components.
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