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Deficient prepulse inhibition in schizophrenia detected by the multi-site COGS

  • Neal R. Swerdlow
  • , Gregory A. Light
  • , Joyce Sprock
  • , Monica E. Calkins
  • , Michael F. Green
  • , Tiffany A. Greenwood
  • , Raquel E. Gur
  • , Ruben C. Gur
  • , Laura C. Lazzeroni
  • , Keith H. Nuechterlein
  • , Allen D. Radant
  • , Amrita Ray
  • , Larry J. Seidman
  • , Larry J. Siever
  • , Jeremy M. Silverman
  • , William S. Stone
  • , Catherine A. Sugar
  • , Debby W. Tsuang
  • , Ming T. Tsuang
  • , Bruce I. Turetsky
  • David L. Braff
  • University of California at San Diego
  • Department of Pediatrics
  • Stanford University
  • University of Pennsylvania
  • University of California at Los Angeles
  • Department of Veterans Affairs
  • Department of Psychiatry and Behavioral Sciences
  • Harvard University
  • Department of Psychiatry and Biobehavioral Sciences
  • University of Washington
  • VA Puget Sound Health Care System
  • VISN 22
  • Department of Psychiatry
  • Beth Israel Deaconess Medical Center
  • Department of Psychiatry
  • Icahn School of Medicine at Mount Sinai
  • VA Medical Center
  • Department of Biostatistics
  • Institute for Genomic Medicine

Research output: Contribution to journal › Review article › peer-review

86 Scopus citations

Abstract

Background: Startle inhibition by weak prepulses (PPI) is studied to understand the biology of information processing in schizophrenia patients and healthy comparison subjects (HCS). The Consortium on the Genetics of Schizophrenia (COGS) identified associations between PPI and single nucleotide polymorphisms in schizophrenia probands and unaffected relatives, and linkage analyses extended evidence for the genetics of PPI deficits in schizophrenia in the COGS-1 family study. These findings are being extended in a 5-site "COGS-2" study of 1800 patients and 1200 unrelated HCS to facilitate genetic analyses. We describe a planned interim analysis of COGS-2 PPI data. Methods: Eyeblink startle was measured in carefully screened HCS and schizophrenia patients (n. = 1402). Planned analyses of PPI (60. ms intervals) assessed effects of diagnosis, sex and test site, PPI-modifying effects of medications and smoking, and relationships between PPI and neurocognitive measures. Results: 884 subjects met strict inclusion criteria. ANOVA of PPI revealed significant effects of diagnosis (p. = 0.0005) and sex (p. <. 0.002), and a significant diagnosis. ×. test site interaction. HCS. >. schizophrenia PPI differences were greatest among patients not taking 2nd generation antipsychotics, and were independent of smoking status. Modest but significant relationships were detected between PPI and performance in specific neurocognitive measures. Discussion: The COGS-2 multi-site study detects schizophrenia-related PPI deficits reported in single-site studies, including patterns related to diagnosis, prepulse interval, sex, medication and other neurocognitive measures. Site differences were detected and explored. The target COGS-2 schizophrenia "endophenotype" of reduced PPI should prove valuable for identifying and confirming schizophrenia risk genes in future analyses.

Original languageEnglish
Pages (from-to)503-512
Number of pages10
JournalSchizophrenia Research
Volume152
Issue number2-3
DOIs
StatePublished - Feb 2014
Externally publishedYes

Bibliographical note

Funding Information:
This study was supported by grants R01-MH065571 , R01-MH065588 , R01-MH065562 , R01-MH065707 , R01-MH065554 , R01-MH065578 , R01-MH065558 , R01 MH86135 , and K01-MH087889 from the National Institute of Mental Health . Genotyping services were provided by the Center for Inherited Disease Research (CIDR). CIDR is fully funded through a federal contract from the National Institutes of Health to The Johns Hopkins University, Contract Number HHSN268200782096C.

Funding

This study was supported by grants R01-MH065571 , R01-MH065588 , R01-MH065562 , R01-MH065707 , R01-MH065554 , R01-MH065578 , R01-MH065558 , R01 MH86135 , and K01-MH087889 from the National Institute of Mental Health . Genotyping services were provided by the Center for Inherited Disease Research (CIDR). CIDR is fully funded through a federal contract from the National Institutes of Health to The Johns Hopkins University, Contract Number HHSN268200782096C.

FundersFunder number
National Institutes of Health
National Institute of Mental HealthR01MH065588
Johns Hopkins UniversityHHSN268200782096C

    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

    • Endophenotype
    • Genetics
    • Multi-site
    • Prepulse inhibition
    • Schizophrenia
    • Startle

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