Integrative genomic dissection of cardio-kidney-metabolic syndrome reveals novel loci, causal genes, and tissue-specific pathways in European populations

Cardiovascular-kidney-metabolic (CKM) syndrome has placed a substantial burden on society both socially and economically. But currently, little is known about the genetic structure of CKM syndrome. A multivariate genome-wide association study (GWAS) of CKM syndrome (mvCKM) in Europe was performed via genomic structural equation modelling (gSEM). A subsequent series of post-GWAS analyses elucidated novel loci and functional mechanisms of mvCKM. Cell-gene-pathway-Mendelian disease analysis further revealed the enrichment status of mvCKM. We particularly focused on various genomic loci and chromosomal regions related to CKM syndrome to explore potential targets. A total of 260 novel SNPs were identified and 92 causal SNPs were estimated independent of single phenotypes. Furthermore, we employed multiple transcriptome-wide association analysis approaches to explore 10 susceptible genes. The multi-marker analysis for genome annotation at the cellular level demonstrated that mvCKM was primarily enriched in metabolic cells, organs, and associated pathways. Partitioned heritability analysis revealed that conserved regions may make substantial genomic contributions. Polygenic risk scores indicated high genetic contributions from regions on chromosomes 4, 6, 1, and 9. This study provides an essential understanding of the genetic architecture of CKM syndrome via mvCKM in Europeans, offering new viewpoints for precision medicine and public health initiatives.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-09-07
DOI
https://doi.org/10.1038/s41598-026-65774-0
Primary Topic
Genetic and Kidney Cyst Diseases
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrative genomic dissection of cardio-kidney-metabolic syndrome reveals novel loci, causal genes, and tissue-specific pathways in European populations

Zhonghai Wang, Xin Chen, Han Wang
Scientific Reports
Genetic and Kidney Cyst Diseases
article

Integrative genomic dissection of cardio-kidney-metabolic syndrome reveals novel loci, causal genes, and tissue-specific pathways in European populations

Zhonghai Wang, Xin Chen, Han Wang
article en

Abstract

Cardiovascular-kidney-metabolic (CKM) syndrome has placed a substantial burden on society both socially and economically. But currently, little is known about the genetic structure of CKM syndrome. A multivariate genome-wide association study (GWAS) of CKM syndrome (mvCKM) in Europe was performed via genomic structural equation modelling (gSEM). A subsequent series of post-GWAS analyses elucidated novel loci and functional mechanisms of mvCKM. Cell-gene-pathway-Mendelian disease analysis further revealed the enrichment status of mvCKM. We particularly focused on various genomic loci and chromosomal regions related to CKM syndrome to explore potential targets. A total of 260 novel SNPs were identified and 92 causal SNPs were estimated independent of single phenotypes. Furthermore, we employed multiple transcriptome-wide association analysis approaches to explore 10 susceptible genes. The multi-marker analysis for genome annotation at the cellular level demonstrated that mvCKM was primarily enriched in metabolic cells, organs, and associated pathways. Partitioned heritability analysis revealed that conserved regions may make substantial genomic contributions. Polygenic risk scores indicated high genetic contributions from regions on chromosomes 4, 6, 1, and 9. This study provides an essential understanding of the genetic architecture of CKM syndrome via mvCKM in Europeans, offering new viewpoints for precision medicine and public health initiatives.

Scientific Reports
North Sichuan Medical University (CN), Third People's Hospital of Chengdu (CN)
Medical Research Council
Zero hunger
Openalex Percentile: Top 11%
Genetic and Kidney Cyst Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.