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Identification of pathways for bipolar disorder: a meta-analysis

Nurnberger JI 1 , Koller DL 2 , Jung J 3 , Edenberg HJ 4 , Foroud T 1 , Guella I 5 Show all authors , Vawter MP 5 , Kelsoe JR 6 , Psychiatric Genomics Consortium Bipolar Group

Affiliations 

  • 1 Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis2Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis
  • 2 Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis
  • 3 Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Bethesda, Maryland
  • 4 Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis4Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis
  • 5 Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine
  • 6 Department of Psychiatry, School of Medicine, University of California, San Diego, La Jolla7Department of Psychiatry, Special Treatment and Evaluation Program, Veterans Affairs San Diego Healthcare System, San Diego, California
JAMA Psychiatry, 2014 Jun;71(6):657-64.
PMID: 24718920 DOI: 10.1001/jamapsychiatry.2014.176

Abstract

IMPORTANCE: Genome-wide investigations provide systematic information regarding the neurobiology of psychiatric disorders.

OBJECTIVE: To identify biological pathways that contribute to risk for bipolar disorder (BP) using genes with consistent evidence for association in multiple genome-wide association studies (GWAS).

DATA SOURCES: Four independent data sets with individual genome-wide data available in July 2011 along with all data sets contributed to the Psychiatric Genomics Consortium Bipolar Group by May 2012. A prior meta-analysis was used as a source for brain gene expression data.

STUDY SELECTION: The 4 published GWAS were included in the initial sample. All independent BP data sets providing genome-wide data in the Psychiatric Genomics Consortium were included as a replication sample.

DATA EXTRACTION AND SYNTHESIS: We identified 966 genes that contained 2 or more variants associated with BP at P

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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