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Dataset Information

A two-sample mendelian randomization study of non-tuberculous mycobacteria infection and lung cancer.


ABSTRACT:

Background

Non-tuberculous mycobacterial lung disease may coexist or precede lung cancer, yet a causal link remains unproven. This study aimed to elucidate the causal association between non-tuberculous mycobacteria (NTM) and lung cancer.

Methods

Summary data from genome-wide association studies (GWAS) for NTM, atypical mycobacterial lung infections, and various types of lung cancer were utilized. A two-sample Mendelian randomization (MR) design was applied using the inverse variance weighted (IVW), weighted median, weighted mode, and MR-Egger regression methods. Sensitivity analysis and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) were used to detect and correct for horizontal pleiotropy. The leave-one-out analysis was used to evaluate the robustness of the results.

SUBMITTER: Shen H 

PROVIDER: S-EPMC11740078 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature