Causal association between metabolic syndrome and ovarian dysfunction: a bidirectional two-sample mendelian randomization

This study reveals a bidirectional causal connection between metabolic syndrome and ovarian dysfunction via genetic prediction methods. These findings are crucial for advancing our understanding of the interactions between these conditions and developing strategies for prevention and treatment.

Authors

Haixia Liang
Yanling Wei (ORCID: https://orcid.org/0000-0002-3307-3092)
Ying Zhang (ORCID: https://orcid.org/0000-0003-4363-5666)
Ying He (ORCID: https://orcid.org/0000-0003-3117-097X)
Jianfang Zhang (ORCID: https://orcid.org/0000-0001-6275-3030)
Yi Wan (ORCID: https://orcid.org/0009-0002-0756-1778)

Institutions

Xijing Hospital (CN)

Publication Details

Journal: Journal of Ovarian Research
Published: 2025-03-11
DOI: https://doi.org/10.1186/s13048-025-01614-5
Citations: 1
Primary Topic: Genetic Associations and Epidemiology
Type: article
Field-Weighted Citation Impact: 1.82

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article

Causal association between metabolic syndrome and ovarian dysfunction: a bidirectional two-sample mendelian randomization

Haixia Liang, Yanling Wei, Ying Zhang, Ying He et al.

Mar 11, 2025

1 citations

Journal of Ovarian Research

Genetic Associations and Epidemiology

1.82

article

Causal association between metabolic syndrome and ovarian dysfunction: a bidirectional two-sample mendelian randomization

Haixia Liang, Yanling Wei, Ying Zhang, Ying He, Jianfang Zhang, Yi Wan

March 11, 2025article en

1 citations

Abstract

This study reveals a bidirectional causal connection between metabolic syndrome and ovarian dysfunction via genetic prediction methods. These findings are crucial for advancing our understanding of the interactions between these conditions and developing strategies for prevention and treatment.

Journal of Ovarian ResearchVol. 18(1)

Xijing Hospital (CN)

Zero hunger

Openalex Percentile: Top 18%

Genetic Associations and Epidemiology

1.82

DOI Open Access PDF OpenAlex

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