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IndepMR: An Ontology-Driven, Ancestry-Aware Interactive R Shiny Framework for Automated Two-Sample and Multivariable Mendelian Randomization with Mediation Analysis Using Public GWAS Summary Data

2026-08-18

Abstract excerpt

<title>Abstract</title> <p>Background Mendelian Randomization (MR) leverages genetic variants as instrumental variables to estimate causal effects of modifiable exposures on health outcomes using publicly available genome-wide association study (GWAS) summary data. Despite growing accessibility of GWAS repositories (e.g. NHGRI-EBI GWAS Catalog, IEU OpenGWAS), a rigorous end-to-end MR workflow remains inaccessibl...

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Literature Corpus work
e50b9066-53fc-5bf4-adc3-7d5530f63a4c
DOI
10.21203/rs.3.rs-10662661/v1
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IndepMR: An Ontology-Driven, Ancestry-Aware Interactive R Shiny Framework for Automated Two-Sample and Multivariable Mendelian Randomization with Mediation Analysis Using Public GWAS Summary DataDOI 10.21203/rs.3.rs-10662661/v1
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