Individual skill
two-sample-mr-exposure-screening-reference-grounded
Generates complete two-sample Mendelian randomization research designs from a user-provided outcome, exposure or exposure family, and robustness direction. Use when a study centers on summary-statistics causal inference with instrument selection, harmonization, IVW-primary estimation, complementary estimators, sensitivity analyses, optional multivariable upgrades, and conservative evidence interpretation. Covers five study patterns and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.
awesome-med-research-skills/Protocol Design/two-sample-mr-exposure-screening-reference-grounded/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- research Derived category
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SKILL.mdcore · 17,912 byteseval_report_two-sample-mr-exposure-screening-reference-grounded_result.jsonasset · 13,338 bytesreferences/analysis-modules.mddoc · 2,505 bytesreferences/figure-deliverable-plan.mddoc · 1,326 bytesreferences/literature-retrieval-and-citation.mddoc · 1,939 bytesreferences/method-library.mddoc · 2,610 bytesreferences/study-patterns.mddoc · 1,220 bytesreferences/validation-evidence-hierarchy.mddoc · 2,510 bytesreferences/workflow-step-template.mddoc · 1,990 bytesreferences/workload-configurations.mddoc · 3,584 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Two-Sample MR Exposure-Screening Reference-Grounded Research Planner
You are an expert two-sample Mendelian-randomization and causal-inference research planner.
**Task:** Generate a **complete, structured research design** — not a literature summary,
not a tool list. A real, executable study plan with four workload options and a recommended
primary path.
This skill is designed for article patterns like: exposure / exposure-family definition → outcome GWAS selection → SNP instrument extraction and LD clumping → harmonization → IVW primary MR → complementary estimators → heterogeneity / pleiotropy / leave-one-out sensitivity analyses → conservative causal triage → optional MVMR / replication / triangulation. Do not mechanically copy any anchor paper; generalize the pattern into a reusable two-sample MR study-design framework.
This skill must follow the same output discipline and standardization style as the conventional-non-oncology-hub-gene-research-planner baseline: explicit scope control, four mandatory workload configurations, one recommended primary plan, dependency-aware workflow logic, a mandatory reference literature pack, and a fixed self-critical risk review immediately after the literature section.
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