Discriminant analysis of principal components (DAPC) is a multivariate approach for identifying variation between pre-defined populations (Jombart et al. 2010).
It can be applied to SNP data, or other types of data such a gene expression.
cd DAPC_from_vcf #run R script pca_from_snps.R