The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium: A collaborative cognitive and neuroimaging genetics project

Gabriëlla A.M. Blokland, Elisabetta C. del Re, Raquelle I. Mesholam-Gately, Jorge Jovicich, Joey W. Trampush, Matcheri S. Keshavan, Lynn E. DeLisi, James T.R. Walters, Jessica A. Turner, Anil K. Malhotra, Todd Lencz, Martha E. Shenton, Aristotle N. Voineskos, Dan Rujescu, Ina Giegling, René S. Kahn, Joshua L. Roffman, Daphne J. Holt, Stefan Ehrlich, Zora KikinisPaola Dazzan, Robin M. Murray, Marta Di Forti, Jimmy Lee, Kang Sim, Max Lam, Rick P.F. Wolthusen, Sonja M.C. de Zwarte, Esther Walton, Donna Cosgrove, Sinead Kelly, Nasim Maleki, Lisa Osiecki, Marco M. Picchioni, Elvira Bramon, Manuela Russo, Anthony S. David, Valeria Mondelli, Antje A.T.S. Reinders, M. Aurora Falcone, Annette M. Hartmann, Bettina Konte, Derek W. Morris, Michael Gill, Aiden P. Corvin, Wiepke Cahn, New Fei Ho, Jian Jun Liu, Richard S.E. Keefe, Randy L. Gollub, Dara S. Manoach, Vince Daniel Calhoun, S. Charles Schulz, Scott R. Sponheim, Donald C. Goff, Stephen L. Buka, Sara Cherkerzian, Heidi W. Thermenos, Marek Kubicki, Paul G. Nestor, Erin W. Dickie, Evangelos Vassos, Simone Ciufolini, Tiago Reis Marques, Nicolas A. Crossley, Shaun M. Purcell, Jordan W. Smoller, Neeltje E.M. van Haren, Timothea Toulopoulou, Gary Donohoe, Jill M. Goldstein, Larry J. Seidman, Robert W. McCarley, Tracey L. Petryshen

Research output: Contribution to journalArticle

Abstract

Background: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. Methods: We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. Results: Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5% male and 43.5% female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p < 1 × 10− 10). Data from a diversity of neuropsychological tests are available for 92% of participants, and 30% have structural MRI scans (half also have diffusion-weighted MRI scans). SNP data are available for 76% of participants. The ancestry composition is 70% European, 20% East Asian, 7% African, and 3% other. Conclusions: The Consortium is investigating the genetic contribution to brain phenotypes in a schizophrenia sample collection of > 10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia.

Original languageEnglish (US)
Pages (from-to)306-317
Number of pages12
JournalSchizophrenia Research
Volume195
DOIs
StatePublished - May 1 2018
Externally publishedYes

Fingerprint

Endophenotypes
Neuroimaging
Schizophrenia
Magnetic Resonance Imaging
Demography
Gene Components
Sex Ratio
Brain
Quality Control
Psychotic Disorders
Single Nucleotide Polymorphism
DNA
Research

Keywords

  • Cognition
  • Genetics
  • MRI
  • Neuroimaging
  • Neuropsychology
  • Schizophrenia

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Biological Psychiatry

Cite this

Blokland, G. A. M., del Re, E. C., Mesholam-Gately, R. I., Jovicich, J., Trampush, J. W., Keshavan, M. S., ... Petryshen, T. L. (2018). The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium: A collaborative cognitive and neuroimaging genetics project. Schizophrenia Research, 195, 306-317. https://doi.org/10.1016/j.schres.2017.09.024

The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium : A collaborative cognitive and neuroimaging genetics project. / Blokland, Gabriëlla A.M.; del Re, Elisabetta C.; Mesholam-Gately, Raquelle I.; Jovicich, Jorge; Trampush, Joey W.; Keshavan, Matcheri S.; DeLisi, Lynn E.; Walters, James T.R.; Turner, Jessica A.; Malhotra, Anil K.; Lencz, Todd; Shenton, Martha E.; Voineskos, Aristotle N.; Rujescu, Dan; Giegling, Ina; Kahn, René S.; Roffman, Joshua L.; Holt, Daphne J.; Ehrlich, Stefan; Kikinis, Zora; Dazzan, Paola; Murray, Robin M.; Di Forti, Marta; Lee, Jimmy; Sim, Kang; Lam, Max; Wolthusen, Rick P.F.; de Zwarte, Sonja M.C.; Walton, Esther; Cosgrove, Donna; Kelly, Sinead; Maleki, Nasim; Osiecki, Lisa; Picchioni, Marco M.; Bramon, Elvira; Russo, Manuela; David, Anthony S.; Mondelli, Valeria; Reinders, Antje A.T.S.; Falcone, M. Aurora; Hartmann, Annette M.; Konte, Bettina; Morris, Derek W.; Gill, Michael; Corvin, Aiden P.; Cahn, Wiepke; Ho, New Fei; Liu, Jian Jun; Keefe, Richard S.E.; Gollub, Randy L.; Manoach, Dara S.; Calhoun, Vince Daniel; Schulz, S. Charles; Sponheim, Scott R.; Goff, Donald C.; Buka, Stephen L.; Cherkerzian, Sara; Thermenos, Heidi W.; Kubicki, Marek; Nestor, Paul G.; Dickie, Erin W.; Vassos, Evangelos; Ciufolini, Simone; Reis Marques, Tiago; Crossley, Nicolas A.; Purcell, Shaun M.; Smoller, Jordan W.; van Haren, Neeltje E.M.; Toulopoulou, Timothea; Donohoe, Gary; Goldstein, Jill M.; Seidman, Larry J.; McCarley, Robert W.; Petryshen, Tracey L.

In: Schizophrenia Research, Vol. 195, 01.05.2018, p. 306-317.

Research output: Contribution to journalArticle

Blokland, GAM, del Re, EC, Mesholam-Gately, RI, Jovicich, J, Trampush, JW, Keshavan, MS, DeLisi, LE, Walters, JTR, Turner, JA, Malhotra, AK, Lencz, T, Shenton, ME, Voineskos, AN, Rujescu, D, Giegling, I, Kahn, RS, Roffman, JL, Holt, DJ, Ehrlich, S, Kikinis, Z, Dazzan, P, Murray, RM, Di Forti, M, Lee, J, Sim, K, Lam, M, Wolthusen, RPF, de Zwarte, SMC, Walton, E, Cosgrove, D, Kelly, S, Maleki, N, Osiecki, L, Picchioni, MM, Bramon, E, Russo, M, David, AS, Mondelli, V, Reinders, AATS, Falcone, MA, Hartmann, AM, Konte, B, Morris, DW, Gill, M, Corvin, AP, Cahn, W, Ho, NF, Liu, JJ, Keefe, RSE, Gollub, RL, Manoach, DS, Calhoun, VD, Schulz, SC, Sponheim, SR, Goff, DC, Buka, SL, Cherkerzian, S, Thermenos, HW, Kubicki, M, Nestor, PG, Dickie, EW, Vassos, E, Ciufolini, S, Reis Marques, T, Crossley, NA, Purcell, SM, Smoller, JW, van Haren, NEM, Toulopoulou, T, Donohoe, G, Goldstein, JM, Seidman, LJ, McCarley, RW & Petryshen, TL 2018, 'The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium: A collaborative cognitive and neuroimaging genetics project', Schizophrenia Research, vol. 195, pp. 306-317. https://doi.org/10.1016/j.schres.2017.09.024
Blokland, Gabriëlla A.M. ; del Re, Elisabetta C. ; Mesholam-Gately, Raquelle I. ; Jovicich, Jorge ; Trampush, Joey W. ; Keshavan, Matcheri S. ; DeLisi, Lynn E. ; Walters, James T.R. ; Turner, Jessica A. ; Malhotra, Anil K. ; Lencz, Todd ; Shenton, Martha E. ; Voineskos, Aristotle N. ; Rujescu, Dan ; Giegling, Ina ; Kahn, René S. ; Roffman, Joshua L. ; Holt, Daphne J. ; Ehrlich, Stefan ; Kikinis, Zora ; Dazzan, Paola ; Murray, Robin M. ; Di Forti, Marta ; Lee, Jimmy ; Sim, Kang ; Lam, Max ; Wolthusen, Rick P.F. ; de Zwarte, Sonja M.C. ; Walton, Esther ; Cosgrove, Donna ; Kelly, Sinead ; Maleki, Nasim ; Osiecki, Lisa ; Picchioni, Marco M. ; Bramon, Elvira ; Russo, Manuela ; David, Anthony S. ; Mondelli, Valeria ; Reinders, Antje A.T.S. ; Falcone, M. Aurora ; Hartmann, Annette M. ; Konte, Bettina ; Morris, Derek W. ; Gill, Michael ; Corvin, Aiden P. ; Cahn, Wiepke ; Ho, New Fei ; Liu, Jian Jun ; Keefe, Richard S.E. ; Gollub, Randy L. ; Manoach, Dara S. ; Calhoun, Vince Daniel ; Schulz, S. Charles ; Sponheim, Scott R. ; Goff, Donald C. ; Buka, Stephen L. ; Cherkerzian, Sara ; Thermenos, Heidi W. ; Kubicki, Marek ; Nestor, Paul G. ; Dickie, Erin W. ; Vassos, Evangelos ; Ciufolini, Simone ; Reis Marques, Tiago ; Crossley, Nicolas A. ; Purcell, Shaun M. ; Smoller, Jordan W. ; van Haren, Neeltje E.M. ; Toulopoulou, Timothea ; Donohoe, Gary ; Goldstein, Jill M. ; Seidman, Larry J. ; McCarley, Robert W. ; Petryshen, Tracey L. / The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium : A collaborative cognitive and neuroimaging genetics project. In: Schizophrenia Research. 2018 ; Vol. 195. pp. 306-317.
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abstract = "Background: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. Methods: We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. Results: Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5{\%} male and 43.5{\%} female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p < 1 × 10− 10). Data from a diversity of neuropsychological tests are available for 92{\%} of participants, and 30{\%} have structural MRI scans (half also have diffusion-weighted MRI scans). SNP data are available for 76{\%} of participants. The ancestry composition is 70{\%} European, 20{\%} East Asian, 7{\%} African, and 3{\%} other. Conclusions: The Consortium is investigating the genetic contribution to brain phenotypes in a schizophrenia sample collection of > 10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia.",
keywords = "Cognition, Genetics, MRI, Neuroimaging, Neuropsychology, Schizophrenia",
author = "Blokland, {Gabri{\"e}lla A.M.} and {del Re}, {Elisabetta C.} and Mesholam-Gately, {Raquelle I.} and Jorge Jovicich and Trampush, {Joey W.} and Keshavan, {Matcheri S.} and DeLisi, {Lynn E.} and Walters, {James T.R.} and Turner, {Jessica A.} and Malhotra, {Anil K.} and Todd Lencz and Shenton, {Martha E.} and Voineskos, {Aristotle N.} and Dan Rujescu and Ina Giegling and Kahn, {Ren{\'e} S.} and Roffman, {Joshua L.} and Holt, {Daphne J.} and Stefan Ehrlich and Zora Kikinis and Paola Dazzan and Murray, {Robin M.} and {Di Forti}, Marta and Jimmy Lee and Kang Sim and Max Lam and Wolthusen, {Rick P.F.} and {de Zwarte}, {Sonja M.C.} and Esther Walton and Donna Cosgrove and Sinead Kelly and Nasim Maleki and Lisa Osiecki and Picchioni, {Marco M.} and Elvira Bramon and Manuela Russo and David, {Anthony S.} and Valeria Mondelli and Reinders, {Antje A.T.S.} and Falcone, {M. Aurora} and Hartmann, {Annette M.} and Bettina Konte and Morris, {Derek W.} and Michael Gill and Corvin, {Aiden P.} and Wiepke Cahn and Ho, {New Fei} and Liu, {Jian Jun} and Keefe, {Richard S.E.} and Gollub, {Randy L.} and Manoach, {Dara S.} and Calhoun, {Vince Daniel} and Schulz, {S. Charles} and Sponheim, {Scott R.} and Goff, {Donald C.} and Buka, {Stephen L.} and Sara Cherkerzian and Thermenos, {Heidi W.} and Marek Kubicki and Nestor, {Paul G.} and Dickie, {Erin W.} and Evangelos Vassos and Simone Ciufolini and {Reis Marques}, Tiago and Crossley, {Nicolas A.} and Purcell, {Shaun M.} and Smoller, {Jordan W.} and {van Haren}, {Neeltje E.M.} and Timothea Toulopoulou and Gary Donohoe and Goldstein, {Jill M.} and Seidman, {Larry J.} and McCarley, {Robert W.} and Petryshen, {Tracey L.}",
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TY - JOUR

T1 - The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium

T2 - A collaborative cognitive and neuroimaging genetics project

AU - Blokland, Gabriëlla A.M.

AU - del Re, Elisabetta C.

AU - Mesholam-Gately, Raquelle I.

AU - Jovicich, Jorge

AU - Trampush, Joey W.

AU - Keshavan, Matcheri S.

AU - DeLisi, Lynn E.

AU - Walters, James T.R.

AU - Turner, Jessica A.

AU - Malhotra, Anil K.

AU - Lencz, Todd

AU - Shenton, Martha E.

AU - Voineskos, Aristotle N.

AU - Rujescu, Dan

AU - Giegling, Ina

AU - Kahn, René S.

AU - Roffman, Joshua L.

AU - Holt, Daphne J.

AU - Ehrlich, Stefan

AU - Kikinis, Zora

AU - Dazzan, Paola

AU - Murray, Robin M.

AU - Di Forti, Marta

AU - Lee, Jimmy

AU - Sim, Kang

AU - Lam, Max

AU - Wolthusen, Rick P.F.

AU - de Zwarte, Sonja M.C.

AU - Walton, Esther

AU - Cosgrove, Donna

AU - Kelly, Sinead

AU - Maleki, Nasim

AU - Osiecki, Lisa

AU - Picchioni, Marco M.

AU - Bramon, Elvira

AU - Russo, Manuela

AU - David, Anthony S.

AU - Mondelli, Valeria

AU - Reinders, Antje A.T.S.

AU - Falcone, M. Aurora

AU - Hartmann, Annette M.

AU - Konte, Bettina

AU - Morris, Derek W.

AU - Gill, Michael

AU - Corvin, Aiden P.

AU - Cahn, Wiepke

AU - Ho, New Fei

AU - Liu, Jian Jun

AU - Keefe, Richard S.E.

AU - Gollub, Randy L.

AU - Manoach, Dara S.

AU - Calhoun, Vince Daniel

AU - Schulz, S. Charles

AU - Sponheim, Scott R.

AU - Goff, Donald C.

AU - Buka, Stephen L.

AU - Cherkerzian, Sara

AU - Thermenos, Heidi W.

AU - Kubicki, Marek

AU - Nestor, Paul G.

AU - Dickie, Erin W.

AU - Vassos, Evangelos

AU - Ciufolini, Simone

AU - Reis Marques, Tiago

AU - Crossley, Nicolas A.

AU - Purcell, Shaun M.

AU - Smoller, Jordan W.

AU - van Haren, Neeltje E.M.

AU - Toulopoulou, Timothea

AU - Donohoe, Gary

AU - Goldstein, Jill M.

AU - Seidman, Larry J.

AU - McCarley, Robert W.

AU - Petryshen, Tracey L.

PY - 2018/5/1

Y1 - 2018/5/1

N2 - Background: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. Methods: We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. Results: Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5% male and 43.5% female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p < 1 × 10− 10). Data from a diversity of neuropsychological tests are available for 92% of participants, and 30% have structural MRI scans (half also have diffusion-weighted MRI scans). SNP data are available for 76% of participants. The ancestry composition is 70% European, 20% East Asian, 7% African, and 3% other. Conclusions: The Consortium is investigating the genetic contribution to brain phenotypes in a schizophrenia sample collection of > 10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia.

AB - Background: Schizophrenia has a large genetic component, and the pathways from genes to illness manifestation are beginning to be identified. The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium aims to clarify the role of genetic variation in brain abnormalities underlying schizophrenia. This article describes the GENUS Consortium sample collection. Methods: We identified existing samples collected for schizophrenia studies consisting of patients, controls, and/or individuals at familial high-risk (FHR) for schizophrenia. Samples had single nucleotide polymorphism (SNP) array data or genomic DNA, clinical and demographic data, and neuropsychological and/or brain magnetic resonance imaging (MRI) data. Data were subjected to quality control procedures at a central site. Results: Sixteen research groups contributed data from 5199 psychosis patients, 4877 controls, and 725 FHR individuals. All participants have relevant demographic data and all patients have relevant clinical data. The sex ratio is 56.5% male and 43.5% female. Significant differences exist between diagnostic groups for premorbid and current IQ (both p < 1 × 10− 10). Data from a diversity of neuropsychological tests are available for 92% of participants, and 30% have structural MRI scans (half also have diffusion-weighted MRI scans). SNP data are available for 76% of participants. The ancestry composition is 70% European, 20% East Asian, 7% African, and 3% other. Conclusions: The Consortium is investigating the genetic contribution to brain phenotypes in a schizophrenia sample collection of > 10,000 participants. The breadth of data across clinical, genetic, neuropsychological, and MRI modalities provides an important opportunity for elucidating the genetic basis of neural processes underlying schizophrenia.

KW - Cognition

KW - Genetics

KW - MRI

KW - Neuroimaging

KW - Neuropsychology

KW - Schizophrenia

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JO - Schizophrenia Research

JF - Schizophrenia Research

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