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Dataset Information

Identification of Potential Diagnostic Biomarkers and Drug Targets for Endometriosis from a Genetic Perspective: A Mendelian Randomization Study.


ABSTRACT:

Objectives

Endometriosis (EM) is a chronic disease severely impacting reproductive health, with its exact cause still unclear. In-depth understanding of the etiology and pathogenesis of EM from the perspective of genetics and exploring individualized treatment strategies can improve the health and quality of life of patients.

Design

This study combined genetic data analysis with experimental validation to provide novel biomarkers and drug targets for the diagnosis and treatment of EM.

Participants/materials, setting, and methods

Whole blood cis-expression quantitative trait loci (eQTL) data were used as exposure data, and data from the FinnGen database EM1-2 and EM3-4 were used as outcomes. Summary-data-based Mendelian randomization (SMR) methods were used to select g

SUBMITTER: Wang W 

PROVIDER: S-EPMC12500265 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature