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Limits to Causal Inference based on Mendelian Randomization: A Comparison with Randomized Controlled Trials
Author(s) -
Dorothea Nitsch,
Mariam Molokhia,
Liam Smeeth,
Bianca DeStavola,
John C. Whittaker,
David A. Leon
Publication year - 2006
Publication title -
american journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/kwj062
Subject(s) - mendelian randomization , causal inference , randomized controlled trial , randomization , observational study , inference , causality (physics) , medicine , genetics , biology , computer science , artificial intelligence , gene , pathology , genetic variants , physics , quantum mechanics , genotype
"Mendelian randomization" refers to the random assortment of genes transferred from parent to offspring at the time of gamete formation. This process has been compared to a randomized controlled trial of genetic variants. This could greatly aid observational epidemiology by potentially allowing an unbiased estimate of the effects of gene products on disease outcomes. However, studies utilizing Mendelian randomization to estimate effects of gene products on outcomes should be interpreted with caution. In this paper, the authors discuss some of the challenges facing epidemiologists in the analysis and interpretation of Mendelian randomization studies, particularly those that become apparent when the analogy with randomized controlled trials is closely examined. The authors conclude that Mendelian randomization is a powerful addition to etiologic research tools. However, care must be taken, because drawing valid causal inferences from its application depends upon more extensive assumptions than are required in randomized controlled trials.

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