Fig. 1
From: Elucidation of disease etiology by trans-layer omics analysis
Overview of trans-omics layer analysis. a Omics data constituting each layer of the central dogma and analysis methods that combine them. GWASs show associations between genotype and phenotype. Quantitative trait loci (QTL), which reflect how much genetic variants affect data in other layers, can link genome to other omics. Epigenetic data provide functional genomic annotations based on various experiments. These data connecting each layer are described in red squares and analysis methods that integrate them are shown in bold. GWAS: genome-wide association study, TWAS: transcriptome-wide association study, eQTL: metabolite QTL, sQTL: splicing QTL, pQTL: protein QTL, mQTL: metabolite QTL, meQTL: methylation QTL, LDSC regression: Linkage disequilibrium score regression. b An example of QTL. The continuous quantitative traits, such as gene expression level and protein amount, are plotted for each genotype