Statistical Genetic Approaches to Investigate Genotype-by-Environment Interaction: Review and Novel Extension of Models

Authors

Vincent P. Diego, The University of Texas Rio Grande ValleyFollow
Eron G. Manusov, The University of Texas Rio Grande ValleyFollow
Marcio Almeida, The University of Texas Rio Grande Valley
Sandra Laston, The University of Texas Rio Grande Valley
David Ortiz, The University of Texas Rio Grande Valley
John Blangero, The University of Texas Rio Grande Valley
Sarah Williams-Blangero, The University of Texas Rio Grande Valley

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.

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/).

Recommended Citation

Diego, Vincent P., Eron G. Manusov, Marcio Almeida, Sandra Laston, David Ortiz, John Blangero, and Sarah Williams-Blangero. "Statistical genetic approaches to investigate genotype-by-environment interaction: Review and novel extension of models." Genes 15, no. 5 (2024): 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