Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects is a scholarly work by Stephen Burgess, published in 2015 in ''American Journal of Epidemiology''. The main subjects of the publication include medicine, Genomic selection, multivariable calculus, risk factor, metabolic dysfunction–associated steatotic liver disease, genomics, Mendelian randomization, randomized controlled trial, pleiotropy, and randomization. The authors propose an extension of Mendelian randomization that uses multiple genetic variants associated with several measured risk factors to simultaneously estimate the causal effect of each of the risk factors on the outcome.