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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 automate the retrieval of genome-wide association study (GWAS) summary statistics from multiple public databases. It facilitates Mendelian Randomization (MR) analysis by allowing researchers to search multiple GWAS databases simultaneously, map phenotypes across different nomenclature systems, filter results by statistical significance thresholds, download results in standardized CSV format, and support both univariable and multivariable MR designs. In the fetchor, the inputs are exposure trait(s) (variable(s)) and outcome trait (variable), the outputs are GWAS exposure and outcome data.

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


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