Genome-wide association scans of complex multipartite traits like the human face typically use preselected phenotypic mea- sures. In this paper, they report a data-driven approach to phenotyping facial shape at multiple levels of organization, allowing for an open-ended description of facial variation while preserving statistical power. Compared to previous study there are 15 replicated loci been detected which highlighted distinctive patterns of global-to-local genetic effects on facial shape and showed enrichment for active chromatin elements in human cranial neural crest cells, suggesting an early developmental origin of the facial variation captured.