Genetic-Relationship-Matrix Structural Equation Modelling
(GRMSEM)
Description
Quantitative genetics tool supporting the modelling of multivariate
genetic variance structures in quantitative data. It allows fitting different
models through multivariate genetic-relationship-matrix (GRM)
structural equation modelling (SEM) in unrelated individuals,
using a maximum likelihood approach. Specifically,
it combines genome-wide genotyping information, as captured by GRMs,
with twin-research-based SEM techniques,
St Pourcain et al. (2017) ,
Shapland et al. (2020) .