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Activity Number: 156 - Statistical Interactions – Making an Impact in Health Science
Type: Topic Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Risk Analysis
Abstract #304144 Presentation
Title: Statistical Interaction and Mendelian Randomization: What They Have in Common?
Author(s): Mariza de Andrade*
Companies: Mayo Clinic
Keywords: gene-environmental interaction; mendelian randomization; genetic association; causality; confounding

There are several similarities between statistical interaction as gene-environmental (GXE) interaction and Mendelian randomization (MR). The approaches use for both look similar when genetic variants is utilize to test hypotheses towards the role of the environmental exposures. However, this is not true if the association between the phenotype under study (e.g. low cholesterol levels) and increase cancer rate is resulted through reverse causation. To better understand this causality of this particular association one has to compare the genotypes of the apolipoprotein E (APOE) gene between cases and controls since APOE is responsible for the reduction or clearance of cholesterol from plasma that depends on the different APOE genotypes. If there are other confounding from other sources such as smoking status or low fat diet, the Mendelian Randomization should be used instead of GXE. Finally I will present different scenarios involving real applications using GXE and MR.

Authors who are presenting talks have a * after their name.

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