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Mendelian Randomization

Methods for Causal Inference Using Genetic Variants

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Mendelian randomization (MR) employs genetic instrumental variables to draw causal inferences from observational data, offering a robust method for evaluating the causal relationships of risk factors like biomarkers with various disease outcomes. This approach enhances the understanding of how genetic factors influence health and disease, providing valuable insights for research and potential interventions.

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Mendelian Randomization, Stephen Burgess, Simon G. Thompson

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Année de publication
2021
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Titre
Mendelian Randomization
Sous-titre
Methods for Causal Inference Using Genetic Variants
Langue
Anglais
Publié
2021
Format
souple
Pages
226
ISBN13
9781032019512
Séries
Description
Mendelian randomization (MR) employs genetic instrumental variables to draw causal inferences from observational data, offering a robust method for evaluating the causal relationships of risk factors like biomarkers with various disease outcomes. This approach enhances the understanding of how genetic factors influence health and disease, providing valuable insights for research and potential interventions.