<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<ArticleSet>
<Article>
<Journal>
<PublisherName>International Academy of Ecology and Environmental Sciences</PublisherName>
<JournalTitle>Network Pharmacology</JournalTitle>
<eissn>2415-1084</eissn>
<Volume>10</Volume>
<Issue>3-4</Issue>
<PubDate PubStatus="ppublish">
<Year>2025</Year>
<Month>12</Month>
<Day>1</Day>
</PubDate>
</Journal>
<ArticleTitle>A web-based data generator for Mendelian Randomization (MR) analysis</ArticleTitle>
<Pages>14-65</Pages>
<Language>EN</Language>
<AuthorList>
<Author>WenJun Zhang</Author>
</AuthorList>
<ArticleList>
<ArticleId IdType="url">http://www.iaees.org/publications/journals/np/articles/2025-10(3-4)/web-based-data-generator-for-Mendelian-Randomization.pdf</ArticleId>>
</ArticleList>
<Abstract>
In present study, a data generator for Mendelian Randomization (MR) analysis was presented. It is a comprehensive web-based tool. The tool takes as input GWAS exposure and outcome data files, and outputs a JSON file for MR analysis. The SNPs correlation matrix is obtained from public databases or by AI
(DeepSeek, Gemini, etc.) data construction or as the identity matrix. The tool supports both univariate and multivariate MR analyses. It provides an integrated workflow for processing genetic association data, automatic harmonization, correlation matrix generation, and MR input construction.
</Abstract>
</Article>
</ArticleSet>
