Open AccessMendelian randomization in nutritional epidemiology
Author(s) -
Qi Lu
Publication year - 2009
Publication title -
nutrition reviews
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.958
H-Index - 150
eISSN - 1753-4887
pISSN - 0029-6643
DOI - 10.1111/j.1753-4887.2009.00218.x
Subject(s) - mendelian randomization , confounding , causal inference , epidemiology , causality (physics) , observational study , causation , genetic epidemiology , nutritional epidemiology , randomization , medicine , biology , genetics , bioinformatics , clinical trial , genetic variants , pathology , genotype , gene , physics , quantum mechanics , political science , law
Nutritional epidemiology aims to identify dietary and lifestyle causes for human diseases. Causality inference in nutritional epidemiology is largely based on evidence from studies of observational design, and may be distorted by unmeasured or residual confounding and reverse causation. Mendelian randomization is a recently developed methodology that combines genetic and classical epidemiological analysis to infer causality for environmental exposures, based on the principle of Mendel's law of independent assortment. Mendelian randomization uses genetic variants as proxies for environmental exposures of interest. Associations derived from Mendelian randomization analysis are less likely to be affected by confounding and reverse causation. During the past 5 years, a body of studies examined the causal effects of diet/lifestyle factors and biomarkers on a variety of diseases. The Mendelian randomization approach also holds considerable promise in the study of intrauterine influences on offspring health outcomes. However, the application of Mendelian randomization in nutritional epidemiology has some limitations.