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Data · dataset · 2026

Exploring the intrinsic mechanisms of Omphalia lapidescens sclerotium in treating epilepsy based on multi-omics mendelian randomization and bioinformatics methods

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Covering the results of multi omics Mendelian randomization analysis of public data on epilepsy, as well as microarray data analysis. The specific content is as follows: Table 1-S1-TCMSP database shows the screened active ingredients and corresponding targets of Lei Wan; Appendix 1-S2- Selected eQTL Data (cis expression quantitative trait locus data from 5311 peripheral blood samples of individuals with European ancestry); Appendix 1-S3- pQTL data after screening (this study conducted a genome-wide association study on plasma protein levels in 35559 Icelandic individuals, using 4907 aptamers for measurement); Appendix 1-S4- Effective Results of IVW Method for MR Analysis of eQTL and pQTL Data with Two Epilepsy GWAS Data (pval<0.05); Table 1-S5-2 Differential expression analysis results of microarray datasets and their merged microarray datasets (this study was conducted from GEO database)( ncbi.nlm.nih.gov/geo/ )Barrett et al. (2013) obtained two independent epilepsy related microarray datasets.

The GSE143272 data is sourced from the research conducted by the Erin L Heinzen team; The GSE31718 data was submitted by Hsin Y et al. and includes 30968 annotated human gene expression profiles from 10 patient brain samples. ); Attachment 1-S6-GO/KEGG Enrichment Analysis; Appendix 1-MR Results of Regulating Intestinal Microbiota with S7-RORA and PTGS2. 

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ScienceDB10.57760/sciencedb.jwxb.000069 d agoJSON v1
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