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Genomic Structural Equation Modeling Reveals Cardiovascular-Kidney-Metabolic Syndrome Genetic Architecture.

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This study reveals the shared genetic basis of cardiovascular-kidney-metabolic syndrome (CKMs) by identifying novel risk loci and linking them to pancreatic islet cell function.

Keywords:
cardiovascular‐kidney‐metabolic syndromegenome‐wide association studygenomic structural equation modelingsingle‐nucleotide polymorphismstranscriptome‐wide association study

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Area of Science:

  • Genetics
  • Metabolic Disorders
  • Cardiovascular Health

Background:

  • Cardiovascular-kidney-metabolic syndrome (CKMs) exhibits complex genetic pleiotropy.
  • Understanding shared genetic architectures across cardiometabolic traits is crucial.

Purpose of the Study:

  • To dissect the shared genetic architecture of CKMs.
  • To identify novel genetic loci and understand pathogenic mechanisms underlying CKMs.

Main Methods:

  • Genomic structural equation modeling (genomic SEM) integrated summary statistics from six cardiometabolic traits.
  • Genome-wide association analyses (GWAS) and GWAS-by-Subtraction identified significant and novel variants.
  • Functional analyses included TWAS, fine-mapping, pathway enrichment, and cell-type specificity.

Main Results:

  • Genomic SEM demonstrated excellent model fit, with polygenic heritability explaining genomic inflation.
  • Identified 2,212 significantly associated variants, including 32 novel loci.
  • Highlighted key genes (SENP2, KIF11, JAZF1, TCF7L2) and implicated lipid balance, proteolysis, and pancreatic islet cells.

Conclusions:

  • Unraveled the shared genetic architecture of CKMs, identifying novel risk loci and mechanisms.
  • Established a cellular link between CKMs genetics and pancreatic islet endocrine metabolic regulation.