Mendelian Randomization Analysis of the Relationship between Neurotransmitter-Related Genes and Cancer: Insights from Multi-omics Data DOI
Quan Yuan, Yuli Xi, Hao Yu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract Background:Epidemiological evidence indicates a potential association between mental disorders and cancer. However, the specific role of neurotransmitter-related genes (NRG) in cancer development remains unclear. This study employs Mendelian randomization with multi-omics summary data to explore causal effects underlying mechanisms NRG Materials Methods: The relationships 10 14 types were investigated. was retrieved from GeneCards database. Transcriptome datasets breast gathered Gene Expression Omnibus (GEO). The Summary-data-based Randomization (SMR) method utilized for genome-wide (GWAS) analysis, incorporating expression quantitative trait loci (eQTLs), DNA methylation QTLs (mQTLs), genetic variants that influence gene intestines (intestinal eQTLs) composition fecal microbiota (mbQTLs). Colocation analysis performed identify links host gut microbiota. Sensitivity analyses conducted using two additional techniques. Results: Mendelian established A meta-analysis five identified 821 differentially expressed (DEGs) among 829 non-redundant genes. KRTCAP2 as blood tissues, while SMR highlighted cg24674445 significant site. inversely correlated cancer, whereas negatively affected expression, suggesting positive on progression. Conclusion: This found regulates

Language: Английский

Mendelian Randomization Analysis of the Relationship between Neurotransmitter-Related Genes and Cancer: Insights from Multi-omics Data DOI
Quan Yuan, Yuli Xi, Hao Yu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract Background:Epidemiological evidence indicates a potential association between mental disorders and cancer. However, the specific role of neurotransmitter-related genes (NRG) in cancer development remains unclear. This study employs Mendelian randomization with multi-omics summary data to explore causal effects underlying mechanisms NRG Materials Methods: The relationships 10 14 types were investigated. was retrieved from GeneCards database. Transcriptome datasets breast gathered Gene Expression Omnibus (GEO). The Summary-data-based Randomization (SMR) method utilized for genome-wide (GWAS) analysis, incorporating expression quantitative trait loci (eQTLs), DNA methylation QTLs (mQTLs), genetic variants that influence gene intestines (intestinal eQTLs) composition fecal microbiota (mbQTLs). Colocation analysis performed identify links host gut microbiota. Sensitivity analyses conducted using two additional techniques. Results: Mendelian established A meta-analysis five identified 821 differentially expressed (DEGs) among 829 non-redundant genes. KRTCAP2 as blood tissues, while SMR highlighted cg24674445 significant site. inversely correlated cancer, whereas negatively affected expression, suggesting positive on progression. Conclusion: This found regulates

Language: Английский

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