AUTHOR=Li Yuzheng , Zhou Shiyao , Huang Yuchen , Yu Qiuhao , Wu Qibiao 

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

JOURNAL=Frontiers in Genetics

VOLUME=15

YEAR=2024

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2024.1404215

DOI=10.3389/fgene.2024.1404215

ISSN=1664-8021

ABSTRACT=<sec><title>Introduction</title><p>This study aimed to investigate the causal relationship between phosphatidylcholine (PC) levels and dysmenorrhea using Mendelian randomization (MR) analysis.</p></sec><sec><title>Methods</title><p>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.</p></sec><sec><title>Results</title><p>The IVW analysis revealed a significant positive association between higher PC levels and dysmenorrhea (OR: 1.533, 95% CI: 1.039–2.262, <italic>P</italic> = 0.031). The MR-Egger regression did not detect pleiotropy. Sensitivity analyses confirmed the robustness of the results.</p></sec><sec><title>Conclusion</title><p>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.</p></sec>