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<records>
<record>
<title>A web-based data generator for Mendelian Randomization (MR) analysis</title>
<authors>
<author>WenJun Zhang</author>
</authors>
<affiliations>
<affiliation>
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China
</affiliation>
</affiliations>
<journal>Network Pharmacology</journal>
<issn>ISSN 2415-1084</issn>
<homepage>http://www.iaees.org/publications/journals/np/online-version.asp</homepage>
<year>2025</year>
<volume>10</volume>
<issue>3-4</issue>
<startpage>14</startpage>
<endpage>65</endpage>
<publisher>International Academy of Ecology and Environmental Sciences</publisher>
<location>Hong Kong</location>
<date>
<received>8 September 2025</received>
<accepted>25 September 2025</accepted>
<published>1 December 2025</published>
</date>
<keywords>
<keyword>Mendelian Randomization (MR)</keyword>
<keyword>data generator</keyword>
<keyword>web-based tool</keyword>
</keywords>
<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>
<url>http://www.iaees.org/publications/journals/np/articles/2025-10(3-4)/web-based-data-generator-for-Mendelian-Randomization.pdf</url>
</record>
</records>
</xml>
