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. 2018 May;195:306-317.
doi: 10.1016/j.schres.2017.09.024. Epub 2017 Oct 3.

The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium: A Collaborative Cognitive and Neuroimaging Genetics Project

Gabriëlla A M Blokland  1 Elisabetta C Del Re  2 Raquelle I Mesholam-Gately  3 Jorge Jovicich  4 Joey W Trampush  5 Matcheri S Keshavan  6 Lynn E DeLisi  7 James T R Walters  8 Jessica A Turner  9 Anil K Malhotra  10 Todd Lencz  10 Martha E Shenton  11 Aristotle N Voineskos  12 Dan Rujescu  13 Ina Giegling  14 René S Kahn  15 Joshua L Roffman  16 Daphne J Holt  16 Stefan Ehrlich  17 Zora Kikinis  18 Paola Dazzan  19 Robin M Murray  19 Marta Di Forti  19 Jimmy Lee  20 Kang Sim  20 Max Lam  20 Rick P F Wolthusen  17 Sonja M C de Zwarte  15 Esther Walton  15 Donna Cosgrove  21 Sinead Kelly  22 Nasim Maleki  16 Lisa Osiecki  23 Marco M Picchioni  19 Elvira Bramon  24 Manuela Russo  19 Anthony S David  19 Valeria Mondelli  19 Antje A T S Reinders  19 M Aurora Falcone  19 Annette M Hartmann  14 Bettina Konte  14 Derek W Morris  25 Michael Gill  26 Aiden P Corvin  26 Wiepke Cahn  15 New Fei Ho  20 Jian Jun Liu  27 Richard S E Keefe  28 Randy L Gollub  16 Dara S Manoach  16 Vince D Calhoun  29 S Charles Schulz  30 Scott R Sponheim  30 Donald C Goff  31 Stephen L Buka  32 Sara Cherkerzian  33 Heidi W Thermenos  34 Marek Kubicki  35 Paul G Nestor  36 Erin W Dickie  37 Evangelos Vassos  19 Simone Ciufolini  19 Tiago Reis Marques  19 Nicolas A Crossley  19 Shaun M Purcell  38 Jordan W Smoller  1 Neeltje E M van Haren  15 Timothea Toulopoulou  39 Gary Donohoe  40 Jill M Goldstein  41 Larry J Seidman  34 Robert W McCarley  7 Tracey L Petryshen  42
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Free PMC article

The Genetics of Endophenotypes of Neurofunction to Understand Schizophrenia (GENUS) Consortium: A Collaborative Cognitive and Neuroimaging Genetics Project

Gabriëlla A M Blokland et al. Schizophr Res. .
Free PMC article

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.

Conflict of interest statement

Conflict of Interest

All authors declare that they have no conflicts of interest with respect to this study.

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