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Advances in endophenotyping schizophrenia

  • David L. Braff
  • , Tiffany A. Greenwood
  • , Neal R. Swerdlow
  • , Gregory A. Light
  • , Nicholas J. Schork
  • , Monica E. Calkins
  • , Raquel E. Gur
  • , Ruben C. Gur
  • , Bruce I. Turetsky
  • , Dorcas J. Dobie
  • , Allen D. Radant
  • , Debby W. Tsuang
  • , Robert Freedman
  • , Ann Olincy
  • , Kristin S. Cadenhead
  • , Ming T. Tsuang
  • , Michael F. Green
  • , Jim Mintz
  • , Keith H. Nuechterlein
  • , Larry J. Seidman
  • William S. Stone, Larry J. Siever, Jeremy M. Silverman
  • University of California at San Diego
  • Scripps Research Institute
  • University of Pennsylvania
  • University of Washington
  • University of Colorado Anschutz Medical Campus
  • University of California at Los Angeles
  • Harvard University
  • Icahn School of Medicine at Mount Sinai

Research output: Contribution to journalArticlepeer-review

78 Scopus citations

Abstract

The search for the genetic architecture of schizophrenia has employed multiple, often converging strategies. One such strategy entails the use of tracing the heritability and neurobiology of endophenotypes. Endophenotypes are quantifiable traits not visible to the eye, which are thought to reflect an intermediate place on the path from genes to disorder. Endophenotype abnormalities in domains such as neurophysiology or neurocognition occur in schizophrenia patients as well as their clinically "unaffected" relatives, and reflect polymorphisms in the DNA of schizophrenia spectrum subjects which create vulnerability to developing schizophrenia. By identifying the single nucleotide polymorphisms (SNPs) associated with endophenotypes in schizophrenia, psychiatric neuroscientists can select new strong inference based molecular targets for the treatment of schizophrenia.

Original languageEnglish
Pages (from-to)11-18
Number of pages8
JournalWorld Psychiatry
Volume7
Issue number1
DOIs
StatePublished - Feb 2008
Externally publishedYes

Funding

FundersFunder number
National Institute of Mental HealthR01MH042228

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Endophenotypes
    • Neurocognition
    • Neurophysiology
    • Schizophrenia
    • Vulnerability genes

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