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Network Pharmacology, 2026, 11(1-2): 1-61
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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 12 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 fetchor 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 fetchor supports both univariate and multivariate MR analyses. In the fetchor, the input are exposure trait(s) (variable(s)) and outcome trait (variable), the output are GWAS exposure and outcome data files.

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


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