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

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; 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 Kikinis; Paola 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; Valeria Mondelli; Antje A T S Reinders; M Aurora Falcone; Annette M Hartmann; Bettina Konte; Aiden P Corvin; Wiepke Cahn; New Fei Ho; Richard S E Keefe; Randy L Gollub; Dara S Manoach; Vince D 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

doi:10.1016/j.schres.2017.09.024

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

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, 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 Kikinis, Paola DazzanRobin 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, Valeria Mondelli, Antje A T S Reinders, M Aurora Falcone, Annette M Hartmann, Bettina Konte, Aiden P Corvin, Wiepke Cahn, New Fei Ho, Richard S E Keefe, Randy L Gollub, Dara S Manoach, Vince D 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

Department of Psychology

Research output: Contribution to journal › Article › peer-review

19 Citations (SciVal)

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 p10,000 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 language	English
Pages (from-to)	306-317
Number of pages	12
Journal	Schizophrenia Research
Volume	195
Early online date	3 Oct 2017
DOIs	https://doi.org/10.1016/j.schres.2017.09.024
Publication status	Published - 31 May 2018

Bibliographical note

Keywords

Schizophrenia
Neuropsychology
Cognition
Neuroimaging
MRI
Genetics

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Blokland, G. A. M., Del Re, E. C., Mesholam-Gately, R. I., Jovicich, J., Trampush, J. W., Keshavan, M. S., DeLisi, L. E., Walters, J. T. R., Malhotra, A. K., Lencz, T., Shenton, M. E., Voineskos, A. N., Rujescu, D., Giegling, I., Kahn, R. S., Roffman, J. L., Holt, D. J., Ehrlich, S., Kikinis, Z., ... Petryshen, T. L. (2018). The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) consortium. Schizophrenia Research, 195, 306-317. https://doi.org/10.1016/j.schres.2017.09.024

Blokland, GAM, Del Re, EC, Mesholam-Gately, RI, Jovicich, J, Trampush, JW, Keshavan, MS, DeLisi, LE, Walters, JTR, 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, Mondelli, V, Reinders, AATS, Falcone, MA, Hartmann, AM, Konte, B, Corvin, AP, Cahn, W, Ho, NF, 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', Schizophrenia Research, vol. 195, pp. 306-317. https://doi.org/10.1016/j.schres.2017.09.024

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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 p10,000 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.",

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

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 - 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 - Mondelli, Valeria

AU - Reinders, Antje A T S

AU - Falcone, M Aurora

AU - Hartmann, Annette M

AU - Konte, Bettina

AU - Corvin, Aiden P

AU - Cahn, Wiepke

AU - Ho, New Fei

AU - Keefe, Richard S E

AU - Gollub, Randy L

AU - Manoach, Dara S

AU - Calhoun, Vince D

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 - 2018/5/31

Y1 - 2018/5/31

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 p10,000 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 p10,000 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 - Schizophrenia

KW - Neuropsychology

KW - Cognition

KW - Neuroimaging

KW - MRI

KW - Genetics

U2 - 10.1016/j.schres.2017.09.024

DO - 10.1016/j.schres.2017.09.024

M3 - Article

SN - 0920-9964

VL - 195

SP - 306

EP - 317

JO - Schizophrenia Research

JF - Schizophrenia Research

ER -

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

Abstract

Bibliographical note

Keywords

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