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Dataset Information

Integrating genomics and proteomics data to identify candidate plasma biomarkers for lung cancer risk among European descendants.


ABSTRACT:

Background

Plasma proteins are potential biomarkers for complex diseases. We aimed to identify plasma protein biomarkers for lung cancer.

Methods

We investigated genetically predicted plasma levels of 1130 proteins in association with lung cancer risk among 29,266 cases and 56,450 controls of European descent. For proteins significantly associated with lung cancer risk, we evaluated associations of genetically predicted expression of their coding genes with the risk of lung cancer.

Results

Nine proteins were identified with genetically predicted plasma levels significantly associated with overall lung cancer risk at a false discovery rate (FDR) of <0.05. Proteins C2, MICA, AIF1, and CTSH were associated with increased lung cancer risk, while proteins SFTPB, HLA-DQA2,

SUBMITTER: Yang Y 

PROVIDER: S-EPMC10628278 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature