from a series of univariate analyses of correlated traits, the same analysis could be used to select p-values from a series of Genomic SEM models. The multivariate methods available need not be mutually exclusive. With respect to other multivariate analyses of genome-wide data that go beyond multivariate GWAS discovery, the major alternatives to Genomic SEM that we are aware of are GWIS23 and GW-SEM.9 When considering linear relationships between traits, Genomic SEM is more flexible and user friendly than GWIS, and GW-SEM requires access to phenotypic data, which is a substantial limitation for many applications.
