Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses

This study uncovers the complex genetic interactions between CKD and MetS-related diseases, identifying shared genetic loci and biological pathways, providing novel insights for future therapeutic strategies.

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Publication Details

Journal
BioData Mining
Published
2025-08-17
DOI
https://doi.org/10.1186/s13040-025-00472-7
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82

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article

Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses

Fengtang Yang, Xiaodong Jin, Jiasheng Yan, Chenkai Zhao et al.
1 citations
BioData Mining
Genetic Associations and Epidemiology
1.82
article

Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses

Fengtang Yang, Xiaodong Jin, Jiasheng Yan, Chenkai Zhao, Dandan Qiu, Yu Yin, Yibo Hua
article en
1 citations

Abstract

This study uncovers the complex genetic interactions between CKD and MetS-related diseases, identifying shared genetic loci and biological pathways, providing novel insights for future therapeutic strategies.

BioData MiningVol. 18(1)
Zhejiang Chinese Medical University (CN), Jiangsu Province Hospital (CN), Nanjing Medical University (CN)
Zhejiang Chinese Medical University
Good health and well-being
Openalex Percentile: Top 13%
Genetic Associations and Epidemiology
1.82
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