Integrative eQTL and Mendelian randomization analysis reveals key genes in colorectal cancer.

ABSTRACT:

Background

Colorectal cancer (CRC) represents a crucial global public health concern, yet its molecular mechanisms underlying CRC are not completely comprehended. This study utilizes Mendelian randomization (MR) in conjunction with comprehensive transcriptome profiling to discover crucial genetic markers associated with CRC.

Method

Using CRC datasets from The Cancer Genome Atlas (TCGA), R software analyzed differentially expressed (DEGs). eQTLs served as instrumental variables (IVs) to identify CRC genes by means of two-sample MR methods. Key CRC genes were found by intersecting DEGs with genome-wide association study (GWAS) data. The causal impacts of these intersecting genes were analyzed using Summary-data-based Mendelian Randomization (SMR). In order to validate the gene

SUBMITTER: Zhou J 

PROVIDER: S-EPMC12627289 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature