biostudies-literatureJin XShanghai Natural Science Foundation ProjectNational Natural Science Foundation of ChinaNational Key Kesearch and Development Plan of the Ministry of Science and Technologythe Public Health Bureau Foundation of Shanghai42https://www.ebi.ac.uk/biostudies/studies/S-EPMC11040978biostudies-literatureUnknown18(1)<h4>Background</h4>The integration of transcriptomic, proteomic, druggable genetic and metabolomic association studies facilitated a comprehensive investigation of molecular features and shared pathways for cancers' development and progression.<h4>Methods</h4>Comprehensive approaches consisting of transcriptome-wide association studies (TWAS), proteome-wide association studies (PWAS), summary-data-based Mendelian randomization (SMR) and MR were performed to identify genes significantly associated with cancers. The results identified in above analyzes were subsequently involved in phenotype scanning and enrichment analyzes to explore the possible health effects and shared pathways. Additionally, we also conducted MR analysis   to investigate metabolic pathways related to cancers.<h4>ResultsHuman genomicsPrioritization of therapeutic targets for cancers using integrative multi-omics analysis.PMC110409782019400432022YFE01253008187405620224024022ZR141330081874182Wang MJiang ZJin XMei YZhang HHe XYang PZhu WHuang RWu YWang LfalsePrioritization of therapeutic targets for cancers using integrative multi-omics analysis.<h4>Background</h4>The integration of transcriptomic, proteomic, druggable genetic and metabolomic association studies facilitated a comprehensive investigation of molecular features and shared pathways for cancers' development and progression.<h4>Methods</h4>Comprehensive approaches consisting of transcriptome-wide association studies (TWAS), proteome-wide association studies (PWAS), summary-data-based Mendelian randomization (SMR) and MR were performed to identify genes significantly associated with cancers. The results identified in above analyzes were subsequently involved in phenotype scanning and enrichment analyzes to explore the possible health effects and shared pathways. Additionally, we also conducted MR analysis   to investigate metabolic pathways related to cancers.<h4>Results2024-01-01T00:00:00Z2024 Apr2026-06-01T21:54:41.41Z2025-04-06T03:15:08.928ZS-EPMC110409783865903810.1186/s40246-024-00571-2