is not only more flexible than traditional univariate GWAS, but its results may also be more robust to confounding, as the software automatically applies a correction for population stratification (20). Furthermore, Genomic Structural Equation Modeling is better suited to investigate nuanced genetic influences, including the possibility to identify SNPs with heterogeneous effects across symptoms or items.
