Home

Network Biology, 2026, 16(4): 403-488
[XML] [EndNote] [RefManager] [BibTex] [ Full PDF (575K)][MR-GWAS-JSON] [Comment/Review Article]

Article

MR-GWAS-JSON: A web tool for multi-source Mendelian Randomization (MR) data fetching, harmonization, and JSON generation

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

Received 16 December 2025;Accepted 11 January 2026;Published online 25 February 2026;Published 1 December 2026
IAEES

Abstract
Mendelian Randomization analysis requires high-quality genetic variant data (SNPs) for exposure and outcome traits, aligned alleles, and a correlation matrix for statistical modeling. The MR-GWAS-JSON data fetcher, developed in present study, is a web tool for multi-source Mendelian Randomization (MR) data fetching, harmonization, and JSON generation. It assists researchers in preparing harmonized MR datasets. It integrates direct JSON validation, file upload processing, AI-powered GWAS generation, multi-source database fetching, advanced caching, retry logic, and rate limiting. Overall, MR-GWAS-JSON can be used as an easy tool to obtain the data for MR analysis.

Keywords GWAS (Genome-Wide Association Study);JSON;data fetching;Mendelian Randomization (MR);Artificial Intelligence (AI);Large Language Models (LLMs);web tool.


International Academy of Ecology and Environmental Sciences. E-mail: office@iaees.org
Copyright © 2009-2026 International Academy of Ecology and Environmental Sciences. All rights reserved.
Web administrator: office@iaees.org, website@iaees.org; Last modified: 2026/2/21


Translate page to: