Using Multimodel Inference/Model Averaging to Model Causes of Covariation Between Variables in Twins.

ABSTRACT:

Objective

To explore and apply multimodel inference to test the relative contributions of latent genetic, environmental and direct causal factors to the covariation between two variables with data from the classical twin design by estimating model-averaged parameters.

Methods

Behavior genetics is concerned with understanding the causes of variation in phenotypes and the causes of covariation between two or more phenotypes. Two variables may correlate as a result of genetic, shared environmental or unique environmental factors contributing to variation in both variables. Two variables may also correlate because one or both directly cause variation in the other. Furthermore, covariation may result from any combination of these sources, leading to 25 different identified struct

SUBMITTER: Maes HH 

PROVIDER: S-EPMC7855182 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature