DOI: 10.1038/s41597-019-0183-6 year: 2020 study: CMC title: CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder. grants: U01MH116442 R01MH110921 R01MH109677 authors: Hoffman GE, Bendl J, Voloudakis G, Montgomery KS, Sloofman L, Wang Y, Shah HR, Hauberg ME, Johnson JS, Girdhar K, Song L, Fullard JF, Kramer R, Hahn C, Gur R, Marenco S, Lipska BK, Lewis DA, Haroutunian V, Hemby S, Sullivan P, Akbarian S, Chess A, Buxbaum JD, Crawford GE, Domenici E, Devlin B, Sieberts SK, Peters MA, Roussos P journal: Scientific data abstract: Schizophrenia and bipolar disorder are serious mental illnesses that affect more than 2% of adults. While large-scale genetics studies have identified genomic regions associated with disease risk, less is known about the molecular mechanisms by which risk alleles with small effects lead to schizophrenia and bipolar disorder. In order to fill this gap between genetics and disease phenotype, we have undertaken a multi-cohort genomics study of postmortem brains from controls, individuals with schiz pubmedId: 31551426 entity_name: Hoffman Scientific data 2020 (Pubmed ID 31551426)
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