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Dataset Information

Utilize proteomic analysis to identify potential therapeutic targets for combating sepsis and sepsis-related death.


ABSTRACT:

Background

Sepsis is an inflammatory disease that leads to severe mortality, highlighting the urgent need to identify new therapeutic strategies for sepsis. Proteomic research serves as a primary source for drug target identification. We employed proteome-wide Mendelian randomization (MR), genetic correlation analysis, and colocalization analysis to identify potential targets for sepsis and sepsis-related death.

Methods

Genetic data for plasma proteomics were obtained from 35,559 Icelandic individuals and an initial MR analysis was conducted using 13,531 sepsis cases from the FinnGen R10 cohort to identify associations between plasma proteins and sepsis. Subsequently, significant proteins underwent genetic correlation analysis, followed by replication in 54,306 participants

SUBMITTER: Zhang T 

PROVIDER: S-EPMC11463698 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature