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Exploring causal correlations between oily fish intake and multiple sclerosis: A two-sample Mendelian randomization study
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作者 Shaodong Chang Ke Shi Minheng Zhang 《Asia Pacific Journal of Clinical Nutrition》 2025年第6期952-961,I0009-I0039,共41页
Background and Objectives:According to observational studies,dietary habits may influence the occurrence of multiple sclerosis(MS).There are,however,only a few Mendelian randomization(MR)studies on both.Methods and St... Background and Objectives:According to observational studies,dietary habits may influence the occurrence of multiple sclerosis(MS).There are,however,only a few Mendelian randomization(MR)studies on both.Methods and Study Design:The objective of this two-sample MR study was to examine possible causal associations between the twenty-one dietary practices and MS.For this investigation,we employed MR analysis utilizing generally accessible statistics from genome-wide association studies(GWAS)to examine causal connections between dietary habits and MS susceptibility among persons of European descent.The IEU Open GWAS project(https://gwas.mrcieu.ac.uk/)provided these GWAS data.Pleiotropy and heterogeneity were investigated using the MR-Egger Intercept test and Cochran's Q test,respectively.MR-Egger,weighted median,inverse variance weighted(IVW),simple mode,and weighted mode were used to assess the causal relationship between 21 dietary habit levels and MS.Results:After removing outliers,we found a significant association between genetically induced oily fish intake and MS risk(IVW,OR:0.557;95%CI:0.351-0.884;p=0.013).Extensive sensitivity analyses confirmed this result.Other dietary habits had no discernible relationship with MS risk.Conclusions:This MR analysis provides evidence of an association between dietary patterns and the risk of developing MS.Notably,higher intake of oily fish was associated with a reduced risk of MS among individuals of European ancestry. 展开更多
关键词 dietary habits multiple sclerosis Mendelian randomization genome-wide association studies inverse variance weighted
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