Overview of the MendelR Analytical Workflow (IMAGE)
Caption
The schematic illustrates the comprehensive pipeline for Mendelian randomization analysis, starting with multi-omics data inputs from GWAS, eQTL, and pQTL studies, sourced from major databases such as the UK Biobank, FinnGen, Chronic Kidney Disease Genetics (CKDGen) Consortium, and the Integrative Epidemiology Unit OpenGWAS (IEU OpenGWAS). The data-processing module performs intelligent data cleaning, format standardization, and quality control. The analysis engine incorporates multiple methodological approaches, including core MR methods (IVW, MR-Egger) for causal estimation; SMR for summary-data analysis; colocalization for causal-variant verification; LDSC for confounding adjustment; meta-analysis for result integration; MR-PRESSO for pleiotropy correction; RadialMR for robustness evaluation; and Steiger testing for directionality validation. The final outputs include statistical tables and publication-ready visualizations, accompanied by automated reporting.
Credit
Xiaohong Ke, Kailai Li, Anqi Lin, Yasi Zhang, Peng Luo
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