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Mendelian Randomization (MR)
Mendelian Randomization (MR) is an instrumental variable method that aims to figure out an exposure (X) that causes a specific outcome (Y) by introducing a genetic factor as an instrumental variable (IV). Some of the advantages of MR are:
- Observational studies are generally conducted to understand "association" as supposed to determine causality.
- Using genotypes as an IV would minimize potential effects from confounding because the genotypes are given at birth and much more likely to be permanent, which allows the IV to be random.
- RCT is not always feasible or practical because of potential ethical and cost implications. MR can provide information on causality in many situations where randomized controlled trials are not possible.
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Updated 2020-04-12
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Data Science