Work

Phosphatidylcholine’s influence on Dysmenorrhea: conclusive insights from Mendelian randomization analysis

Year: 2024

Type: article

Abstract: Introduction: This study aimed to investigate the causal relationship between phosphatidylcholine (PC) levels and dysmenorrhea using Mendelian randomization (MR) analysis. Methods: We conducted a two-sample MR analysis using GWAS data on PC levels and dysmenorrhea. Single nucleotide polymorphisms (SNPs) associated with PC levels were used as instrumental variables. MR-Egger regression and inverse variance weighting (IVW) were used to estimate the causal effect of PC levels on dysmenorrhea. Sensitivity analyses were performed to assess the robustness of the results. Results: = 0.031). The MR-Egger regression did not detect pleiotropy. Sensitivity analyses confirmed the robustness of the results. Conclusion: This study provides evidence suggesting a causal link between increased PC levels and dysmenorrhea. Further research is needed to understand the biological mechanisms underlying this relationship and to explore potential therapeutic implications.

Source: Frontiers in Genetics

DOI: 10.3389/fgene.2024.1404215

Authors: Yuzheng Li, Shiyao Zhou, Yuchen Huang, Qiuhao Yu, Qibiao Wu

Institutions: Macau University of Science and Technology, Macau University of Science and Technology Foundation

Language: English

Topic: Genetic Associations and Epidemiology

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,295