Translational bioinformatics in mental health: open access data sources and computational biomarker discovery.

ABSTRACT: Mental illness is increasingly recognized as both a significant cost to society and a significant area of opportunity for biological breakthrough. As -omics and imaging technologies enable researchers to probe molecular and physiological underpinnings of multiple diseases, opportunities arise to explore the biological basis for behavioral health and disease. From individual investigators to large international consortia, researchers have generated rich data sets in the area of mental health, including genomic, transcriptomic, metabolomic, proteomic, clinical and imaging resources. General data repositories such as the Gene Expression Omnibus (GEO) and Database of Genotypes and Phenotypes (dbGaP) and mental health (MH)-specific initiatives, such as the Psychiatric Genomics Consortium, MH Re

SUBMITTER: Tenenbaum JD 

PROVIDER: S-EPMC6585382 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature