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Transfer Learning for Mendelian Randomization with Pleiotropic and Correlated High-Dimensional Exposures and Its Application to Trans-ethnic Populations

2025-10-01

Abstract excerpt

<title>Abstract</title> <p>The majority of large-scale GWAS cohorts are of European ancestry, making it critical to generalize findings from European populations to other ethnic groups with smaller sample sizes. Traditional multivariable Mendelian randomization (MR) methods often perform poorly in high-dimensional and correlated exposure settings, due to issues such as collinearity and unstable model fitting. To...

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Literature Corpus work
bc80f777-47ce-5dc6-8a20-1df990889eeb
DOI
10.21203/rs.3.rs-7712945/v1
Open publication

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Transfer Learning for Mendelian Randomization with Pleiotropic and Correlated High-Dimensional Exposures and Its Application to Trans-ethnic PopulationsDOI 10.21203/rs.3.rs-7712945/v1
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