Danielle Posthuma Genome-wide association studies (GWAS) have successfully identified many novel loci for neuropsychiatric traits. At the same time the results of GWAS showed that these traits are highly polygenic, mostly influenced by large numbers of weakly associated variants. Interpreting such polygenic results is challenging. Recent large-scale initiatives, such as those from the Allen Brain Institute and the PyschEncode consortium provide fine-scaled atlases of functional genetic elements at cellular level. This novel information can be used to interpret results from GWAS studies and facilitate biological understanding of complex traits. In this session, I will discuss how we can leverage both GWAS results and novel functional genomic resources to formulate hypotheses that can be tested in functional experiments. I will discuss current and just finished work on gene finding for brain related traits, including strategies to link genetic findings to biology or drug targets. This includes the latest results - hot off the press - from a large GWAS on Alzheimer’s disease for the PGC-ALZ working group, and several new findings for psychiatric disorders, including schizophrenia. Vrije Universiteit, Amsterdam, NL