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Abstract

Objective:

The authors sought to demonstrate that schizophrenia is a heterogeneous group of heritable disorders caused by different genotypic networks that cause distinct clinical syndromes.

Method:

In a large genome-wide association study of cases with schizophrenia and controls, the authors first identified sets of interacting single-nucleotide polymorphisms (SNPs) that cluster within particular individuals (SNP sets) regardless of clinical status. Second, they examined the risk of schizophrenia for each SNP set and tested replicability in two independent samples. Third, they identified genotypic networks composed of SNP sets sharing SNPs or subjects. Fourth, they identified sets of distinct clinical features that cluster in particular cases (phenotypic sets or clinical syndromes) without regard for their genetic background. Fifth, they tested whether SNP sets were associated with distinct phenotypic sets in a replicable manner across the three studies.

Results:

The authors identified 42 SNP sets associated with a 70% or greater risk of schizophrenia, and confirmed 34 (81%) or more with similar high risk of schizophrenia in two independent samples. Seventeen networks of SNP sets did not share any SNP or subject. These disjoint genotypic networks were associated with distinct gene products and clinical syndromes (i.e., the schizophrenias) varying in symptoms and severity. Associations between genotypic networks and clinical syndromes were complex, showing multifinality and equifinality. The interactive networks explained the risk of schizophrenia more than the average effects of all SNPs (24%).

Conclusions:

Schizophrenia is a group of heritable disorders caused by a moderate number of separate genotypic networks associated with several distinct clinical syndromes.

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Information & Authors

Information

Published In

Go to American Journal of Psychiatry
Go to American Journal of Psychiatry
American Journal of Psychiatry
Pages: 139 - 153
PubMed: 25219520

History

Received: 2 April 2014
Revision received: 2 June 2014
Revision received: 25 June 2014
Accepted: 30 June 2014
Published ahead of print: 31 October 2014
Published online: 1 February 2015
Published in print: February 01, 2015

Authors

Details

Javier Arnedo, M.S.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Dragan M. Svrakic, M.D., Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Coral del Val, Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Rocío Romero-Zaliz, Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Helena Hernández-Cuervo, M.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Molecular Genetics of Schizophrenia Consortium
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Ayman H. Fanous, M.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Michele T. Pato, M.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Carlos N. Pato, M.D., Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Gabriel A. de Erausquin, M.D., Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
C. Robert Cloninger, M.D., Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.
Igor Zwir, Ph.D.
From the Department of Psychiatry and the Department of Genetics, Washington University School of Medicine, St. Louis; the Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain; St. Louis VA Medical Center, St. Louis; Roskamp Laboratory of Brain Development, Modulation, and Repair, Department of Psychiatry and Behavioral Neurosciences, University of South Florida, Tampa; Washington DC VA Medical Center, Washington, D.C.; and the Department of Psychiatry, University of Southern California, Los Angeles.

Notes

Address correspondence to Dr. Zwir ([email protected]).

Funding Information

The authors report no financial relationships with commercial interests.Supported in part by the Spanish Ministry of Science and Technology (projects TIN2009-13950 and TIN2012-38805) and by the R.L. Kirschstein National Research Award to Dr. Zwir; by NIH for the Molecular Genetics of Schizophrenia Consortium, including NIH grants R01MH060879, R01MH067257, R01MH059588, R01MH059571, R01MH059565, R01MH059587, R01MH060870, R01MH059566, R01MH059586, R01MH061675, R01MH081800, U01MH046276, U01MH046289, U01MH046318, U01MH079469, U01MH079470, 5K08MH077220, 5R01MH052618-05, 5R01MH058693-06, and 3R01MH085548-05S1; and by the Genetic Association Information Network.

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