Multi-omics evidence supports PROC as a potential predictor of VTE risk: A Mendelian randomization study

Venous thromboembolism (VTE) is a common cardiovascular condition whose etiology is closely linked to a range of factors, including trauma, immobilization, and environmental influences. The application of multi-omics Mendelian randomization may prove to be a valuable approach in clarifying the fundamental pathogenic mechanisms associated with VTE. Based on multi-omics data of mQTL, eQTL and pQTL, our study identifies core drug targets and pharmacological associations of VTE. Summary-level data from multi-omics exposure were obtained from studies focusing on quantitative trait loci (QTL) across 3 dimensions: gene methylation, gene expression, and protein levels. Genetic association data pertaining to VTE outcomes were subsequently sourced from the FinnGen database for discovery purposes and the UK Biobank for replication. Subsequently, summary-data-based Mendelian randomization (SMR) and co-localization analyses were conducted to evaluate the causal relationships between the 3 QTL levels and the risk of VTE. Through the application of xQTL and xQTL SMR analyses, we have identified 1 gene with a high causal impact, PROC, alongside 2 genes with lower causal significance, DPY19L1P1 and MAF BZIP transcription factor F (MAFF). Our results indicate that, at both the mQTL and eQTL levels, an increased risk of VTE is correlated with elevated levels of DPY19L1P1, while the causal effect associated with MAFF is inversely related. Furthermore, our analysis revealed an inverse causal relationship between gene methylation and VTE for PROC (cg06038358), with an odds ratio of 1.06 (95% CI = 1.04-1.09). Notably, PROC was identified as a protective factor against the disease at the pQTL level, with an odds ratio of 0.7 (95% CI = 0.6-0.82). Comprehensive phenotype scanning demonstrated a causal relationship between the target gene PROC and 12 distinct phenotypes. Finally, drug prediction and molecular docking identified 3 pharmacokinetic associations of drug target genes for VTE. In summary, the current research clarified the causal connections among DPY19L1P1, MAFF, and PROC in relation to VTE at the levels of methylation, expression, and protein. In addition, phenome-wide association analysis and molecular docking confirmed the functional role associations of the target genes.

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Journal
Medicine
Published
2025-11-14
DOI
https://doi.org/10.1097/md.0000000000045921
Primary Topic
Genetic Associations and Epidemiology
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article
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article

Multi-omics evidence supports PROC as a potential predictor of VTE risk: A Mendelian randomization study

Chenwei Zhang, Shuying Luo, Zhengquan Yu, Yukai Zhang et al.
Medicine
Genetic Associations and Epidemiology
article

Multi-omics evidence supports PROC as a potential predictor of VTE risk: A Mendelian randomization study

Chenwei Zhang, Shuying Luo, Zhengquan Yu, Yukai Zhang, Gang Liu, Yanjie Liu, Bin-bin Wan
article en

Abstract

Venous thromboembolism (VTE) is a common cardiovascular condition whose etiology is closely linked to a range of factors, including trauma, immobilization, and environmental influences. The application of multi-omics Mendelian randomization may prove to be a valuable approach in clarifying the fundamental pathogenic mechanisms associated with VTE. Based on multi-omics data of mQTL, eQTL and pQTL, our study identifies core drug targets and pharmacological associations of VTE. Summary-level data from multi-omics exposure were obtained from studies focusing on quantitative trait loci (QTL) across 3 dimensions: gene methylation, gene expression, and protein levels. Genetic association data pertaining to VTE outcomes were subsequently sourced from the FinnGen database for discovery purposes and the UK Biobank for replication. Subsequently, summary-data-based Mendelian randomization (SMR) and co-localization analyses were conducted to evaluate the causal relationships between the 3 QTL levels and the risk of VTE. Through the application of xQTL and xQTL SMR analyses, we have identified 1 gene with a high causal impact, PROC, alongside 2 genes with lower causal significance, DPY19L1P1 and MAF BZIP transcription factor F (MAFF). Our results indicate that, at both the mQTL and eQTL levels, an increased risk of VTE is correlated with elevated levels of DPY19L1P1, while the causal effect associated with MAFF is inversely related. Furthermore, our analysis revealed an inverse causal relationship between gene methylation and VTE for PROC (cg06038358), with an odds ratio of 1.06 (95% CI = 1.04-1.09). Notably, PROC was identified as a protective factor against the disease at the pQTL level, with an odds ratio of 0.7 (95% CI = 0.6-0.82). Comprehensive phenotype scanning demonstrated a causal relationship between the target gene PROC and 12 distinct phenotypes. Finally, drug prediction and molecular docking identified 3 pharmacokinetic associations of drug target genes for VTE. In summary, the current research clarified the causal connections among DPY19L1P1, MAFF, and PROC in relation to VTE at the levels of methylation, expression, and protein. In addition, phenome-wide association analysis and molecular docking confirmed the functional role associations of the target genes.

MedicineVol. 104(46)
Shanxi Medical University (CN), Zhejiang Center for Disease Control and Prevention (CN), Zhejiang University (CN)
Openalex Percentile: Top 64%
Genetic Associations and Epidemiology
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