DECO

DECO (Integrated analysis of de novo mutations, rare case/control variants, and omics information via gene sets) is an integrated method specifically designed to enhance the analysis of rare variants and gene sets in identifying risk genes for neuropsychiatric disorders and other diseases. Recognizing the limitations of current approaches that only capture a portion of predicted causal genes, DECO employs a strategy that jointly models rare variants and gene sets. This approach allows for the direct testing of gene-set enrichment within the statistical model and leverages enriched gene sets to rank existing genes and prioritize additional risk genes for studied disorders.