Literature DB >> 31596458

Genome-wide Association of Endophenotypes for Schizophrenia From the Consortium on the Genetics of Schizophrenia (COGS) Study.

Tiffany A Greenwood1, Laura C Lazzeroni2,3, Adam X Maihofer1, Neal R Swerdlow1, Monica E Calkins4, Robert Freedman5, Michael F Green6,7, Gregory A Light1,8, Caroline M Nievergelt1, Keith H Nuechterlein6, Allen D Radant9,10, Larry J Siever11,12, Jeremy M Silverman11,12, William S Stone13,14, Catherine A Sugar6,15, Debby W Tsuang9,10, Ming T Tsuang1, Bruce I Turetsky4, Ruben C Gur4, Raquel E Gur4, David L Braff1.   

Abstract

Importance: The Consortium on the Genetics of Schizophrenia (COGS) uses quantitative neurophysiological and neurocognitive endophenotypes with demonstrated deficits in schizophrenia as a platform from which to explore the underlying neural circuitry and genetic architecture. Many of these endophenotypes are associated with poor functional outcome in schizophrenia. Some are also endorsed as potential treatment targets by the US Food and Drug Administration. Objective: To build on prior assessments of heritability, association, and linkage in the COGS phase 1 (COGS-1) families by reporting a genome-wide association study (GWAS) of 11 schizophrenia-related endophenotypes in the independent phase 2 (COGS-2) cohort of patients with schizophrenia and healthy comparison participants (HCPs). Design, Setting, and Participants: A total of 1789 patients with schizophrenia and HCPs of self-reported European or Latino ancestry were recruited through a collaborative effort across the COGS sites and genotyped using the PsychChip. Standard quality control filters were applied, and more than 6.2 million variants with a genotyping call rate of greater than 0.99 were available after imputation. Association was performed for data sets stratified by diagnosis and ancestry using linear regression and adjusting for age, sex, and 5 principal components, with results combined through weighted meta-analysis. Data for COGS-1 were collected from January 6, 2003, to August 6, 2008; data for COGS-2, from June 30, 2010, to February 14, 2014. Data were analyzed from October 28, 2016, to May 4, 2018. Main Outcomes and Measures: A genome-wide association study was performed to evaluate association for 11 neurophysiological and neurocognitive endophenotypes targeting key domains of schizophrenia related to inhibition, attention, vigilance, learning, working memory, executive function, episodic memory, and social cognition.
Results: The final sample of 1533 participants included 861 male participants (56.2%), and the mean (SD) age was 41.8 (13.6) years. In total, 7 genome-wide significant regions (P < 5 × 10-8) and 2 nearly significant regions (P < 9 × 10-8) containing several genes of interest, including NRG3 and HCN1, were identified for 7 endophenotypes. For each of the 11 endophenotypes, enrichment analyses performed at the level of P < 10-4 compared favorably with previous association results in the COGS-1 families and showed extensive overlap with regions identified for schizophrenia diagnosis. Conclusions and Relevance: These analyses identified several genomic regions of interest that require further exploration and validation. These data seem to demonstrate the utility of endophenotypes for resolving the genetic architecture of schizophrenia and characterizing the underlying biological dysfunctions. Understanding the molecular basis of these endophenotypes may help to identify novel treatment targets and pave the way for precision-based medicine in schizophrenia and related psychotic disorders.

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Year:  2019        PMID: 31596458      PMCID: PMC6802253          DOI: 10.1001/jamapsychiatry.2019.2850

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  73 in total

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Journal:  Cell       Date:  2004-11-24       Impact factor: 41.582

2.  Attention/vigilance in schizophrenia: performance results from a large multi-site study of the Consortium on the Genetics of Schizophrenia (COGS).

Authors:  Keith H Nuechterlein; Michael F Green; Monica E Calkins; Tiffany A Greenwood; Raquel E Gur; Ruben C Gur; Laura C Lazzeroni; Gregory A Light; Allen D Radant; Larry J Seidman; Larry J Siever; Jeremy M Silverman; Joyce Sprock; William S Stone; Catherine A Sugar; Neal R Swerdlow; Debby W Tsuang; Ming T Tsuang; Bruce I Turetsky; David L Braff
Journal:  Schizophr Res       Date:  2015-03-04       Impact factor: 4.939

3.  Mutation in PHC1 implicates chromatin remodeling in primary microcephaly pathogenesis.

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4.  Neurocognitive performance in family-based and case-control studies of schizophrenia.

Authors:  Ruben C Gur; David L Braff; Monica E Calkins; Dorcas J Dobie; Robert Freedman; Michael F Green; Tiffany A Greenwood; Laura C Lazzeroni; Gregory A Light; Keith H Nuechterlein; Ann Olincy; Allen D Radant; Larry J Seidman; Larry J Siever; Jeremy M Silverman; Joyce Sprock; William S Stone; Catherine A Sugar; Neal R Swerdlow; Debby W Tsuang; Ming T Tsuang; Bruce I Turetsky; Raquel E Gur
Journal:  Schizophr Res       Date:  2015-04       Impact factor: 4.939

Review 5.  The Consortium on the Genetics of Schizophrenia: neurocognitive endophenotypes.

Authors:  Raquel E Gur; Monica E Calkins; Ruben C Gur; William P Horan; Keith H Nuechterlein; Larry J Seidman; William S Stone
Journal:  Schizophr Bull       Date:  2006-11-13       Impact factor: 9.306

6.  Initial heritability analyses of endophenotypic measures for schizophrenia: the consortium on the genetics of schizophrenia.

Authors:  Tiffany A Greenwood; David L Braff; Gregory A Light; Kristin S Cadenhead; Monica E Calkins; Dorcas J Dobie; Robert Freedman; Michael F Green; Raquel E Gur; Ruben C Gur; Jim Mintz; Keith H Nuechterlein; Ann Olincy; Allen D Radant; Larry J Seidman; Larry J Siever; Jeremy M Silverman; William S Stone; Neal R Swerdlow; Debby W Tsuang; Ming T Tsuang; Bruce I Turetsky; Nicholas J Schork
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Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

10.  Molecular genetic evidence for overlap between general cognitive ability and risk for schizophrenia: a report from the Cognitive Genomics consorTium (COGENT).

Authors:  T Lencz; E Knowles; G Davies; S Guha; D C Liewald; J M Starr; S Djurovic; I Melle; K Sundet; A Christoforou; I Reinvang; S Mukherjee; Pamela DeRosse; A Lundervold; V M Steen; M John; T Espeseth; K Räikkönen; E Widen; A Palotie; J G Eriksson; I Giegling; B Konte; M Ikeda; P Roussos; S Giakoumaki; K E Burdick; A Payton; W Ollier; M Horan; G Donohoe; D Morris; A Corvin; M Gill; N Pendleton; N Iwata; A Darvasi; P Bitsios; D Rujescu; J Lahti; S L Hellard; M C Keller; O A Andreassen; I J Deary; D C Glahn; A K Malhotra
Journal:  Mol Psychiatry       Date:  2013-12-17       Impact factor: 15.992

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4.  Role of an Atypical Cadherin Gene, Cdh23 in Prepulse Inhibition, and Implication of CDH23 in Schizophrenia.

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