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Dataset Information

Integrating single-cell with transcriptome-proteome Mendelian randomization reveals colorectal cancer targets.


ABSTRACT:

Background

Colorectal carcinogenesis involves dynamic interactions between genetic susceptibility and cellular heterogeneity, yet current studies rarely disentangle causal genes from passive associations. While GWAS have mapped numerous risk loci, only a minority colocalize with eQTL/pQTL. A multi-omics framework combining single-cell transcriptomics, transcriptomics, proteomics, and MR is urgently needed to resolve cell-type-specific drivers of colorectal cancer pathogenesis.

Methods

We integrated GWAS data, eQTL data, pQTL data, and single-cell RNA sequencing differential gene expression profiles from public databases. Subsequent batch Two-sample Mendelian randomization and further SMR analysis aimed to identify key genes in the pathogenesis of colorectal cancer.

Result

SUBMITTER: Wang S 

PROVIDER: S-EPMC12085524 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature