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Dataset Information

Identification of promising lung cancer targets from human plasma proteins via Mendelian randomization.


ABSTRACT:

Background

Lung cancer (LC) is the most prevalent form of malignant neoplasm globally, as well as the major cause of cancer-related death. Identifying effective pharmaceutical targets is paramount in advancing the development of treatment modalities for LC.

Method

Protein-wide Mendelian randomization (MR) was used in this study. The present study collated data on plasma proteins from a protein quantitative trait loci (pQTL) study with a total of 4907 individuals. Genetic associations with LC were obtained from GWAS, including 3791 cases and 489012 controls. Integration of pQTL and LC genome-wide association study (GWAS) data was employed to identify candidate proteins. MR used single nucleotide polymorphisms (SNPs) as a genetic tool to estimate the causal effect of exposure

SUBMITTER: Shao XD 

PROVIDER: S-EPMC12540209 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature