School of Medicine Publications and Presentations
Document Type
Article
Publication Date
4-25-2024
Abstract
Statistical genetic models of genotype-by-environment (G×E) interaction can be divided into two general classes, one on G×E interaction in response to dichotomous environments (e.g., sex, disease-affection status, or presence/absence of an exposure) and the other in response to continuous environments (e.g., physical activity, nutritional measurements, or continuous socioeconomic measures). Here we develop a novel model to jointly account for dichotomous and continuous environments. We develop the model in terms of a joint genotype-by-sex (for the dichotomous environment) and genotype-by-social determinants of health (SDoH; for the continuous environment). Using this model, we show how a depression variable, as measured by the Beck Depression Inventory-II survey instrument, is not only underlain by genetic effects (as has been reported elsewhere) but is also significantly determined by joint G×Sex and G×SDoH interaction effects. This model has numerous applications leading to potentially transformative research on the genetic and environmental determinants underlying complex diseases.
Recommended Citation
Diego, V.P.; Manusov, E.G.; Almeida, M.; Laston, S.; Ortiz, D.; Blangero, J.; Williams-Blangero, S. Statistical Genetic Approaches to Investigate Genotype-by-Environment Interaction: Review and Novel Extension of Models. Genes 2024, 15, 547. https://doi.org/10.3390/genes15050547
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Genes
DOI
10.3390/genes15050547
Academic Level
faculty
Mentor/PI Department
Office of Human Genetics
Comments
Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).