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Dataset Information

Identification of potential drug targets for insomnia by Mendelian randomization analysis based on plasma proteomics.


ABSTRACT:

Introduction

Insomnia, a common clinical disorder, significantly impacts the physical and mental well-being of patients. Currently, available hypnotic medications are unsatisfactory due to adverse reactions and dependency, necessitating the identification of new drug targets for the treatment of insomnia.

Methods

In this study, we utilized 734 plasma proteins as genetic instruments obtained from genome-wide association studies to conduct a Mendelian randomization analysis, with insomnia as the outcome variable, to identify potential drug targets for insomnia. Additionally, we validated our results externally using other datasets. Sensitivity analyses entailed reverse Mendelian randomization analysis, Bayesian co-localization analysis, and phenotype scanning. Furthermore, we

SUBMITTER: Yang N 

PROVIDER: S-EPMC11079244 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature