Article

Scaling genetic discovery for organ volumes using machine learning-assisted imputation and bias-corrected GWAS

2025-11-09

Abstract excerpt

<h4>Background</h4> MRI-derived organ and tissue volumes are powerful endophenotypes for studying complex disease, but their availability is limited by cost and throughput. We present a scalable framework that combines machine learning-based phenotypic imputation with probabilistic GWAS (POP-GWAS) to enable robust genetic discovery for imaging-derived phenotypes (IDPs). <h4>Results</h4> Using 37,589 UK Biobank M...

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Literature Corpus work: d8b865cd-6e0e-5a23-b41a-646a2f3767ff
DOI: 10.1101/2025.11.07.25339752

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