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Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.

Frontiers in endocrinology - 1 Jan 2024

He Yifang, Wang Yanli, Wang Xiali, Deng Shuangping, Wang Dandan, Huang Qingqing, Lyu Guorong

Abstract excerpt

Background: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with various contributing factors. Understanding the molecular mechanisms underlying PCOS is essential for developing effective treatments. This study aimed to identify hub genes and investigate potential molecular mechanisms associated with PCOS through a combination of bioinformatics analysis and Mendelian randomization (MR). Methods:...

Topics

Polycystic Ovary Syndrome
Female
Mendelian Randomization Analysis
Humans
Computational Biology
Animals
Genetic Predisposition to Disease
Gene Regulatory Networks
Rats

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39735641
DOI: 10.3389/fendo.2024.1431200
PMCID: PMC11671271

Genes

CD93
CYBB
DOCK8
MBOAT1
MYO1F
NLRP1
NOD2
PTER
TNF

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

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