Statistical Genetic Approaches to Investigate Genotype-by-Environment Interaction: Review and Novel Extension of Models.
Genes (Basel)
; 15(5)2024 04 25.
Article
in En
| MEDLINE
| ID: mdl-38790175
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Gene-Environment Interaction
/
Genotype
/
Models, Genetic
Limits:
Humans
/
Male
Language:
En
Journal:
Genes (Basel)
Year:
2024
Document type:
Article
Affiliation country: