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Bayesian Mendelian Randomization Analysis for Latent Exposures Leveraging GWAS Summary Statistics for Traits Co-Regulated by the Exposures

2024-11-27

Abstract excerpt

Mendelian Randomization analysis is a popular method to infer causal relationships between exposures and outcomes, utilizing data from genome-wide association studies (GWAS) to overcome limitations of observational research by treating genetic variants as instrumental variables. This study focuses on a specific problem setting, where causal signals may exist among a series of correlated traits, but the exposures o...

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Literature Corpus work
257290af-2991-51d9-af4d-13184f5d74ab
DOI
10.1101/2024.11.25.24317939
Open publication

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Bayesian Mendelian Randomization Analysis for Latent Exposures Leveraging GWAS Summary Statistics for Traits Co-Regulated by the ExposuresDOI 10.1101/2024.11.25.24317939
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