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Tae-Hwa Go 1 Article
Basic Concepts of a Mendelian Randomization Approach
Tae-Hwa Go, Dae Ryong Kang
Cardiovasc Prev Pharmacother. 2020;2(1):24-30.   Published online January 31, 2020
DOI: https://doi.org/10.36011/cpp.2020.2.e3
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Abstract PDF
The Mendelian Randomization (MR) approach is a method that enables causal inference in observational studies. There are 3 assumptions that must be satisfied to obtain suitable results: 1) The genetic variant is strongly associated with the exposure, 2) The genetic variant is independent of the outcome, given the exposure and all confounders (measured and unmeasured) of the exposure-outcome association, 3) The genetic variant is independent of factors (measured and unmeasured) that confound the exposure-outcome relationship. This analysis has been used increasingly since 2011, but many researchers still do not know how to perform MR. Here, we introduce the basic concepts, assumptions, and methods of MR analysis to enable better understanding of this approach.

Citations

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  • Alcohol consumption and risk of psoriasis: Results from observational and genetic analyses in more than 100,000 individuals from the Danish general population
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    JAAD International.2024; 15: 197.     CrossRef
  • MR-GGI: accurate inference of gene–gene interactions using Mendelian randomization
    Wonseok Oh, Junghyun Jung, Jong Wha J. Joo
    BMC Bioinformatics.2024;[Epub]     CrossRef

CPP : Cardiovascular Prevention and Pharmacotherapy