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CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder.
Hoffman, Gabriel E; Bendl, Jaroslav; Voloudakis, Georgios; Montgomery, Kelsey S; Sloofman, Laura; Wang, Ying-Chih; Shah, Hardik R; Hauberg, Mads E; Johnson, Jessica S; Girdhar, Kiran; Song, Lingyun; Fullard, John F; Kramer, Robin; Hahn, Chang-Gyu; Gur, Raquel; Marenco, Stefano; Lipska, Barbara K; Lewis, David A; Haroutunian, Vahram; Hemby, Scott; Sullivan, Patrick; Akbarian, Schahram; Chess, Andrew; Buxbaum, Joseph D; Crawford, Greg E; Domenici, Enrico; Devlin, Bernie; Sieberts, Solveig K; Peters, Mette A; Roussos, Panos.
Afiliación
  • Hoffman GE; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Bendl J; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Voloudakis G; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Montgomery KS; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Sloofman L; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Wang YC; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Shah HR; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Hauberg ME; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Johnson JS; Sage Bionetworks, Seattle, Washington, USA.
  • Girdhar K; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Song L; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Fullard JF; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Kramer R; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Hahn CG; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Gur R; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Marenco S; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Lipska BK; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Lewis DA; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Haroutunian V; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Hemby S; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Sullivan P; Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Akbarian S; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Chess A; Department of Pediatrics, Division of Medical Genetics, Duke University, Durham, North Carolina, USA.
  • Buxbaum JD; Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Crawford GE; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Domenici E; Human Brain Collection Core, National Institutes of Health, NIMH, Bethesda, Maryland, USA.
  • Devlin B; Neuropsychiatric Signaling Program, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Sieberts SK; Neuropsychiatry Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Peters MA; Human Brain Collection Core, National Institutes of Health, NIMH, Bethesda, Maryland, USA.
  • Roussos P; Human Brain Collection Core, National Institutes of Health, NIMH, Bethesda, Maryland, USA.
Sci Data ; 6(1): 180, 2019 09 24.
Article en En | MEDLINE | ID: mdl-31551426
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 schizophrenia and bipolar disorder. Here we present a public resource of functional genomic data from the dorsolateral prefrontal cortex (DLPFC; Brodmann areas 9 and 46) of 986 individuals from 4 separate brain banks, including 353 diagnosed with schizophrenia and 120 with bipolar disorder. The genomic data include RNA-seq and SNP genotypes on 980 individuals, and ATAC-seq on 269 individuals, of which 264 are a subset of individuals with RNA-seq. We have performed extensive preprocessing and quality control on these data so that the research community can take advantage of this public resource available on the Synapse platform at http//CommonMind.org .
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Trastorno Bipolar Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Esquizofrenia / Trastorno Bipolar Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sci Data Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos