Evidence mapPaperPMID 41974591Full record

ArticleJournal of diabetes2026

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

Chuanlong Lu, Lizheng Li, Jinshan Chen, Runze Chang, Honglin Dong

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Article in Journal of diabetes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chuanlong LuDepartment of Vascular Surgery, The Second Hospital, Shanxi Medical University, Taiyuan, China.ORCID https://orcid.org/0009-0005-2137-6853
Lizheng LiDepartment of Vascular Surgery, The Second Hospital, Shanxi Medical University, Taiyuan, China.
Jinshan ChenDepartment of Vascular Surgery, The Second Hospital, Shanxi Medical University, Taiyuan, China.
Runze ChangDepartment of Vascular Surgery, The Second Hospital, Shanxi Medical University, Taiyuan, China.ORCID https://orcid.org/0009-0000-4032-8279
Honglin DongDepartment of Vascular Surgery, The Second Hospital, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genetic basis of cardiovascular-kidney-metabolic syndrome (CKMs) involves complex pleiotropy, necessitating analytical approaches capable of dissecting shared genetic architectures across multiple cardiometabolic traits.

methodsWe employed genomic structural equation modeling (genomic SEM) to integrate summary statistics from six cardiometabolic traits. The model was assessed using standard fit indices. Genome-wide association analyses were performed on 1,862,425 SNPs under stringent quality control measures, with LD Score regression applied to evaluate polygenic heritability and confounding bias. Novel loci were identified using GWAS-by-Subtraction. Functional characterization included transcriptome-wide association analysis (TWAS), fine-mapping, pathway enrichment analysis, and cell-type specificity analysis.

resultsThe genomic SEM model demonstrated excellent fit (CFI = 0.99, SRMR = 0.14). Quality control metrics confirmed that genomic inflation (Lambda GC = 1.591) was primarily attributable to polygenic heritability (h

conclusionsOur study unravels the shared genetic architecture of CKMs, revealing novel risk loci and pathogenic mechanisms. The results establish a direct cellular link between the pleiotropic genetic basis of CKMs and endocrine metabolic regulation within pancreatic islets.

Indexed as

Cardiovascular DiseasesKidney DiseasesMetabolic SyndromeModels, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansMultifactorial InheritancePolymorphism, Single Nucleotidecardiovascular‐kidney‐metabolic syndromegenome‐wide association studygenomic structural equation modelingsingle‐nucleotide polymorphismstranscriptome‐wide association study

Identifiers

PMID41974591
PMCPMC13076060

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.