Table 1.

Summary of analytical methods in the context of the conceptual framework (predisposition, onset, illness) with examples of data sources and studies for which these methods are employed.

Perspective	Data source	Analytical method	Examples
Predisposition	Human genotype	GWAS	[3, 4]
	Human GWAS summary data and postmortem-brain-derived QTLs	Colocalization	[158]
		Mendelian randomization	[3]
		Transcriptomic imputation	[20, 158, 164, 218]
		Drug repurposing analyses	[3, 20, 162]
	hiPSC-derived brain cell transcriptomic data	Gene set enrichment	[59, 60, 169]
Onset	Mouse genotype and brain transcriptomic data	Context-specific QTL analysis	[178]
	Human genotype and transcriptomic data	Context-specific QTL analysis	[64, 179, 180]
	hiPSC-derived cells + glucocorticoids	Context-specific QTL analysis	[58]
		Gene set enrichment	[58, 181, 182]
	Mouse brain transcriptomic data + stress	Gene set enrichment	[61, 62, 183, 184]
		Co-expression networks	[61, 183]
Illness	Human postmortem brain single cell/nuclei RNA-seq	Gene set enrichment	[207]
		Co-expression networks	[207]
		Cell type deconvolution	[207]
	Human postmortem brain transcriptome	Gene set enrichment	[6, 7, 208]
		Co-expression networks	[6, 7]
		Cell type deconvolution	[208]