MRanalysis: a comprehensive online platform for integrated, multimethod Mendelian randomization and associated...

Area of Science:

• Epidemiology
• Genetic Epidemiology
• Bioinformatics

Background:

• Mendelian randomization (MR) infers causal relationships using genome-wide association study (GWAS) data.
• Adoption of MR is hindered by data format inconsistencies, workflow standardization issues, and programming skill requirements.
• MRanalysis and GWASkit were developed to address these limitations.

Purpose of the Study:

• To develop user-friendly tools for integrated MR analysis and GWAS data preprocessing.
• To lower barriers to entry for MR analysis, making it more accessible and efficient.
• To accelerate discoveries in genetic epidemiology and inform public health strategies.

Main Methods:

• MRanalysis offers a no-code, web-based platform for comprehensive MR analysis.
• GWASkit provides a standalone tool for rapid GWAS data preprocessing, including rs ID conversion and format standardization.
• Both tools feature intuitive interfaces and demonstrate high accuracy and efficiency.

Main Results:

• MRanalysis supports univariable, multivariable, and mediation MR analyses with integrated quality assessment, power estimation, and visualization.
• GWASkit significantly improves accuracy and efficiency in GWAS data preprocessing compared to existing tools.
• Case studies confirm the practical utility and efficiency of MRanalysis and GWASkit.

Conclusions:

• MRanalysis and GWASkit democratize MR analysis, enhancing its accessibility, reliability, and efficiency.
• These tools can accelerate genetic discoveries, support public health initiatives, and guide targeted interventions.
• MRanalysis and GWASkit represent a significant advancement in understanding gene-environment-health outcome relationships.