Evidence map›Paper›PMID 39319183›Full record

ArticleInternational journal of women's health2024

Causal Relationship Between Mood Swing and Gynecological Disorders: A Mendelian Randomization Study.

Jia Bian, Hongfeng Li, Yaping Shang, Fang Zhang, Lifei Tang

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Article in International journal of women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jia BianDepartment of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Hongfeng LiDepartment of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Yaping ShangDepartment of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Fang ZhangDepartment of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.
Lifei TangDepartment of Gynecology and Obstetrics, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gynecological disorders are a wide range of health problems affecting the female reproductive system, which poses substantial health challenges worldwide. Increasing number of observational studies have associated mood instability to common female diseases, but the underlying causal relationship remains unclear. In this work, Mendelian randomization (MR) analysis was applied to explore the genetically predicted causal relationship of mood swings and several prevalent gynecological disorders. Methods: Instrumental variables (IVs) of mood swings were selected from UK Biobank (UKB), with 204,412 cases and 247,207 controls being incorporated. The genetic variants for female disorders were obtained from genome-wide association studies (GWASs) and FinnGen consortium. To avoid biases caused by racial difference, only European population was included here. Five strong analytical methodologies were used to increase the validity of the results, the most substantial of which was the inverse variance weighting (IVW) method. Pleiotropy, sensitivity, and heterogeneity were assessed to strengthen the findings. Results: We found mood swings was significantly positively associated with risk of endometrial cancer (OR= 2.60 [95% CI= 1.36, 4.95], P= 0.0037), cervical cancer (OR= 1.01[95% CI= 1.00,1.02], P= 0.0213) and endometriosis (OR= 2.58 [95% CI= 1.18, 5.60], P= 0.0170) by IVW method. However, there was no causal relationship between mood swing and ovarian cancer. No pleiotropy and heterogeneity existed and sensitivity tests were passed. Conclusion: This study reveals that mood swing may serve as a genetically predicted causal risk factor for endometrial cancer, cervical cancer, and endometriosis in the European population, while no such association was observed for ovarian cancer. These findings make up for observational research's inherent limitations and may improve patient outcomes in the field of gynecological health. However, the study's focus on European populations may limit the applicability of these results globally.

Indexed as

genetic relationshipgynecological disordersMendelian randomizationmood swing

Identifiers

PMID39319183
PMCPMC11420331

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