Schizophrenia (SCZ) is a common, lifelong, disabling disorder with unsatisfactory treatment, motivating research into its causation and pathogenesis. The heritability of SCZ is estimated at over 70%, yet recent GWAS mega analyses have explained a relatively small fraction of the heritability. Another portion of the heritability is lkely due to rare loci. Although by definition the rare loci may affect risk in only a small number of individuals, investigations of diseases such as familial hypercholesterolemia show that the rare loci can potentially teach us much about the etiology of disease and even indicate new avenues of treatment. Recent publications support this contention. We propose to identify rare SCZ loci with large effects through highly selected extended pedigrees. We will leverage resources from an ongoing NIH funded Multiplex- Multigenerational Genetic Investigation (MGI). Over the past ten years, through a three- site collaboration, we have identified, intensively characterized and investigated over 43 multiplex, multigenerational SCZ pedigrees and community controls. MGI has a wealth of phenotypic data, including gene expression, structural and functional brain imaging, and neurocognitive performance measures, as well as standard clinical symptom, diagnostic and functional information on participants. From this sample, we have identified four extended families, each with three or more individuals with SCZ and an unusually high number of additional family members with non-SCZ Axis I diagnoses.
We aim to identify rare SCZ risk variants in these families using an efficient and cost effective strategy that combines novel founder-specific linkage analyses, whole genome sequencing of selected individuals and panels of selected SNPs. Using the available extensive quantitative data, we will investigate the expression of the risk loci beyond affection status and take a dimensional approach to vulnerability and severity. We will also investigate the expression of the rare variants in neurons differentiated from induced pluripotent stem cells. By investigating a range of highly relevant phenotypes, our proposal aims to go beyond disease gene mapping to initiate an understanding of SCZ pathogenesis. Our consortium brings expertise in SCZ, neurobiology, neurocognition, neuroimaging, and genetics to this effort. We have made all existing tissue samples and data available to the scientific community and will continue to do so.

Public Health Relevance

Schizophrenia is a highly heritable, complex brain disorder that has devastating effects on the individual and family. Understanding the genetic basis of the deficits in brain function is an important key to early detection and to advance treatments. Our goal is to identify rare genetic variations that contribute to the brain deficits and the risk for schizophrenia, using extensive family based resources that we have already accumulated. We will also exploit the latest genetic technologies to achieve our goals.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
2R01MH042191-24A1
Application #
8817995
Study Section
Special Emphasis Panel (ZRG1-GGG-E (02))
Program Officer
Senthil, Geetha
Project Start
1987-01-01
Project End
2019-02-28
Budget Start
2015-03-01
Budget End
2016-02-29
Support Year
24
Fiscal Year
2015
Total Cost
$135,139
Indirect Cost
$50,677
Name
University of Pennsylvania
Department
Psychiatry
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
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Kos, Mark Z; Carless, Melanie A; Peralta, Juan et al. (2017) Exome sequences of multiplex, multigenerational families reveal schizophrenia risk loci with potential implications for neurocognitive performance. Am J Med Genet B Neuropsychiatr Genet 174:817-827
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McNulty, James; D'Aiuto, Leonardo; Zhi, Yun et al. (2016) iPSC Neuronal Assay Identifies Amaryllidaceae Pharmacophore with Multiple Effects against Herpesvirus Infections. ACS Med Chem Lett 7:46-50
Kos, Mark Z; Carless, Melanie A; Peralta, Juan et al. (2016) Exome Sequence Data From Multigenerational Families Implicate AMPA Receptor Trafficking in Neurocognitive Impairment and Schizophrenia Risk. Schizophr Bull 42:288-300

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