{"title":"Phosphatidylcholine's influence on Dysmenorrhea: conclusive insights from Mendelian randomization analysis.","authors":"Yuzheng Li, Shiyao Zhou, Yuchen Huang, Qiuhao Yu, Qibiao Wu","doi":"10.3389/fgene.2024.1404215","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>This study aimed to investigate the causal relationship between phosphatidylcholine (PC) levels and dysmenorrhea using Mendelian randomization (MR) analysis.</p><p><strong>Methods: </strong>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><p><strong>Results: </strong>The IVW analysis revealed a significant positive association between higher PC levels and dysmenorrhea (OR: 1.533, 95% CI: 1.039-2.262, <i>P</i> = 0.031). The MR-Egger regression did not detect pleiotropy. Sensitivity analyses confirmed the robustness of the results.</p><p><strong>Conclusion: </strong>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>","PeriodicalId":12750,"journal":{"name":"Frontiers in Genetics","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11456477/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3389/fgene.2024.1404215","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
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: The IVW analysis revealed a significant positive association between higher PC levels and dysmenorrhea (OR: 1.533, 95% CI: 1.039-2.262, P = 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.
简介:本研究旨在利用孟德尔随机分析法(MR)研究磷脂酰胆碱(PC)水平与痛经的因果关系:本研究旨在利用孟德尔随机分析法(MR)研究磷脂酰胆碱(PC)水平与痛经之间的因果关系:我们利用有关 PC 水平和痛经的 GWAS 数据进行了双样本 MR 分析。与 PC 水平相关的单核苷酸多态性(SNPs)被用作工具变量。MR-Egger 回归和反方差加权(IVW)用于估计 PC 水平对痛经的因果效应。为评估结果的稳健性,还进行了敏感性分析:IVW分析显示,PC水平越高与痛经之间存在显著的正相关关系(OR:1.533,95% CI:1.039-2.262,P = 0.031)。MR-Egger回归没有检测到多重效应。敏感性分析证实了结果的稳健性:本研究提供的证据表明 PC 水平升高与痛经之间存在因果关系。要了解这种关系背后的生物学机制并探索潜在的治疗意义,还需要进一步的研究。
Frontiers in GeneticsBiochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
5.50
自引率
8.10%
发文量
3491
审稿时长
14 weeks
期刊介绍:
Frontiers in Genetics publishes rigorously peer-reviewed research on genes and genomes relating to all the domains of life, from humans to plants to livestock and other model organisms. Led by an outstanding Editorial Board of the world’s leading experts, this multidisciplinary, open-access journal is at the forefront of communicating cutting-edge research to researchers, academics, clinicians, policy makers and the public.
The study of inheritance and the impact of the genome on various biological processes is well documented. However, the majority of discoveries are still to come. A new era is seeing major developments in the function and variability of the genome, the use of genetic and genomic tools and the analysis of the genetic basis of various biological phenomena.