ArticleDiabetes, obesity & metabolism2026
Integrated Genomic and Transcriptomic Analysis Reveals the Genetic Basis and Causal Association Between Obesity and Atrial Fibrillation.
Article in Diabetes, obesity & metabolism, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Integrated Genomic and Transcriptomic Analysis Reveals the Genetic Basis and Causal Association Between Obesity and Atrial Fibrillation.Diabetes, obesity & metabolism · 2026Article
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9 authors.
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Abstract
backgroundObservational studies have shown that obesity is associated with an increased risk of atrial fibrillation (AF), but the underlying genetic mechanisms and direction of causality remain unclear. This study aims to systematically investigate the genetic associations, direction of causality and key pleiotropic genes linking obesity and AF by integrating large-scale genome-wide association study (GWAS) data and employing various genetic methods.
methodsThis study utilised pooled GWAS data on obesity (FinnGen R12) and AF (a large-scale GWAS meta-analysis). First, linkage disequilibrium score regression (LDSC) and high-definition likelihood inference (HDL) were employed to assess heritability and genetic correlation, while bidirectional Mendelian randomisation (MR) was used to infer the direction of causality. Secondly, multi-trait analysis of GWAS (MTAG) was applied to the AF GWAS by integrating the obesity dataset to generate an enhanced MTAG-AF dataset. Independent genetic loci were identified using functional mapping and annotation (FUMA) and GCTA conditional and joint analysis (GCTA-COJO) and gene-based association analyses were conducted using multi-marker analysis of genomic annotation (MAGMA) and GCTA-fast set-based association test (GCTA-fastBAT). Subsequently, tissue-specific enrichment analysis using LDSC applied to specifically expressed genes (LDSC-SEG), transcriptome-wide association studies (TWAS) and summary-data-based Mendelian randomisation (SMR) were utilised to investigate the tissue-specific expression of pleiotropic genes. Finally, the causal relationships between key pleiotropic genes and traits were assessed using bidirectional gene-trait MR.
resultsBoth LDSC (rg = 0.2285, SE = 0.0257, p = 7.00 × 10
conclusionsThis study provides genetic evidence supporting a shared genetic basis and a likely unidirectional causal relationship from obesity to AF. NFATC2IP, NUCKS1 and PCCB are identified as key pleiotropic genes, offering new genetic insights and potential therapeutic targets for obesity-related AF.
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