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Article

A novel multivariable Mendelian randomization framework to disentangle highly correlated exposures with application to metabolomics.

American journal of human genetics - 5 Sept 2024

Chan Lap Sum, Malakhov Mykhaylo M, Pan Wei

Abstract excerpt

Mendelian randomization (MR) utilizes genome-wide association study (GWAS) summary data to infer causal relationships between exposures and outcomes, offering a valuable tool for identifying disease risk factors. Multivariable MR (MVMR) estimates the direct effects of multiple exposures on an outcome. This study tackles the issue of highly correlated exposures commonly observed in metabolomic data, a situation...

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Identifiers

PMID: 39106865
DOI: 10.1016/j.ajhg.2024.07.007
PMCID: PMC11393695

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