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August 4, 2025

Genomic structural equation modelling provides insights into the shared multivariate genetic architecture of cardio-kidney-metabolic syndrome components

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Authors

ZWZhonghai WangXCXin ChenHWHan Wang

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Overview

Multivariate genomic modelling reveals genetic connections in cardiovascular-kidney-metabolic syndrome, suggesting potential targets for risk assessment and management.

Key Points

  • The study identifies 261 novel SNPs related to cardiovascular-kidney-metabolic syndrome, enhancing understanding of its genetic basis.
  • 92 causal SNPs were estimated to be independent of single phenotypes, indicating complex genetic interactions.
  • Genomic structural equation modelling provided insights into multivariate genetic architecture, focusing on metabolic pathways.
  • Findings support implications for precision medicine and may influence public health initiatives targeting CKM syndrome.

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/689a0f8de6551bb0af8d0cd1https://doi.org/10.21203/rs.3.rs-7187218/v1
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Cardio-Kidney-Metabolic Syndrome: Candidate Subtypes and Genetic Risk Factors2025
  2. 2Genomic structural equation modeling reveals shared genetic structure of cardiac function and structure-function association studies of CLCNKA mutations2025
  3. 3Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses2025
  4. 4Genomic Structural Equation Modeling Reveals Shared Genetic Architecture and Pleiotropic Hub Genes of Sepsis-Induced Cardiomyopathy2026
  5. 5Novel approaches and applications in identifying DNA methylation markers of cardio-kidney-metabolic disease.2025