our findings and to elucidate causality, selective chemo- and optogenetic manipulation of identified enriched cell types in rodents might provide additional insight in the role these cells play in the neural circuit underlying brain disorders [38]. Additionally, the recently developed computational toolkit CELL-type Expression-specific integration for Complex Traits (CELLECT) can provide additional insight in cell type enrichment [39]. CELLECT builds upon gene prioritization models, such as LDSC, DEPICT, and MAGMA and subsequently performs cell type prioritization analyses using a continuous representation of cell type expression, rather than binary representation. Finally, statistical power is currently a major challenge in genetic studies. Future studies might benefit from multi-trait analysis of GWAS [40], which is a method for analysis of multiple GWASs, thereby increasing the statistical power of each trait analyzed to identify genetic associations.
