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Network Pharmacology, 2026, 11(1-2): 1-44
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Article

A multi-source GWAS data fetcher for Mendelian Randomization analysis

WenJun Zhang
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China

Received 22 September 2025;Accepted 2 October 2025;Published online 20 October 2025;Published 1 June 2026
IAEES

Abstract
In present study, a multi-source GWAS (Genome-Wide Association Study) data fetchor for Mendelian Randomization (MR) analysis was presented. The data fetcher is a web-based application designed to retrieve, harmonize, and export GWAS summary statistics from multiple legitimate public repositories for Mendelian Randomization (MR) analysis. The system implements a modular architecture that integrates with major GWAS data sources, standardizes heterogeneous data formats, harmonizes genetic variants across datasets, validates data quality through statistical filtering, and exports analysis-ready files in standard MR formats. The algorithm processes exposure and outcome traits through a multi-stage pipeline that ensures data integrity and compatibility with downstream MR analysis methods. The tool supports both univariate and multivariate MR analyses.

Keywords GWAS;data fetcher;Mendelian Randomization (MR);web-based tool.


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