Two Sample Mr Research Plannerv0.1.0

A PhD student in epidemiology wants to test whether serum uric acid causally affects gout risk using two-sample MR. They have access to GWAS summary statistics and need a publication-ready design within 6 months. The skill generates a Standard configuration with step-by-step workflow, figure plans, and validation strategies to ensure robust causal inference for their dissertation.

A biotech company aims to validate a circulating protein as a causal biomarker for Alzheimer's disease to prioritize drug targets. They require a comprehensive MR study with sensitivity analyses and colocalization to rule out confounding. The skill provides an Advanced or Publication+ configuration, including MVMR and power calculations, to support regulatory submissions and investment decisions.

A government health agency investigates the causal impact of dietary factors like coffee intake on hypertension to inform public health guidelines. They need a rapid, minimal causal test due to time constraints. The skill outputs a Lite configuration with a streamlined workflow, focusing on instrument validity and primary IVW analysis for quick decision-making.

A healthcare provider integrates MR findings into genetic counseling for conditions like osteoporosis, using vitamin D exposure analysis. They require a user-friendly design with clear validation steps to communicate causal risks to patients. The skill generates a Standard plan with visual figures and robustness checks to support clinical discussions.

A large biobank consortium screens multiple cytokines for causal links to rheumatoid arthritis using a multi-exposure MR approach. They have extensive GWAS data but need efficient screening designs. The skill provides configurations for multi-exposure screening, including instrument extraction benchmarks and fault tolerance guidelines to handle data variability.

Offer tailored MR study design and analysis consulting to academic institutions, pharmaceutical companies, and biotech firms. Charge per project based on complexity (e.g., Lite to Publication+ configurations), providing step-by-step workflows, validation plans, and publication support to ensure high-quality causal inference.

Develop a web-based platform that automates MR study planning using this skill. Users input research directions to generate customizable designs, with tiered subscriptions for access to advanced features like colocalization or MVMR modules. Integrate with GWAS databases for real-time data sourcing.

Conduct workshops and online courses teaching researchers how to design and execute two-sample MR studies. Use the skill's structured workflows and benchmarks as core curriculum, offering certifications and hands-on sessions. Target universities, research hospitals, and industry professionals seeking causal inference expertise.