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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.

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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.