Schizophrenia is a devastating illness, known to be genetically mediated;however, no gene has been significantly associated with the illness at genome wide significance levels in published meta-analyses. Schizophrenia is also known to be a disconnection syndrome, whereby abnormal white matter tracts in the brain are thought to contribute to the development of the illness. We seek to elucidate the genetic basis of schizophrenia by studying variations in white matter tracts found to be involved in schizohprenia. In order to study the white matter tracts, we will use diffusion weighted imaging in a large sample of healthy monozygotic and dizygotic twins (N=1150) with detailed genome wide genotype data to study the relation between genetic polymorphisms and tract integrity and geometry. This unique population will allow us to determine the heritability, or the degree of genetic mediation, of these tracts of interest. For those tracts which have properties that are highly heritable, we will be able to associate genetic polymorphisms of these individuals with the tracts of interest. We will then have identified genes involved with variations of tract integrity and geometry which then will also be associated with schizophrenia. This will be the first study to take an imaging genomics approach for identifying risk genes: we will survey the entire genome for statistical association to a brain trait of interest. This study will also help provide a biological mechanism for schizophrenia, help discover novel gene targets for therapeutics, provide a more accurate and biologically based diagnostic criterion for the disorder, and provide a method to discover the genetic basis of other mental illnesses that can be generally adopted by the biotechnology community. Public Health Relevance: To identify genes associated with this schizophrenia, we will study a known deficit of the illness: aberrant connections between different brain regions. Using a new technique of brain imaging capable of studying these connections in the living brain, and by studying the entire genome of many healthy individuals, we will be able to find variations in connections that are associated with alterations in the genome. By following this plan, we expect to find novel genes involved in the development of schizophrenia, help to provide a biological mechanism for schizophrenia, help discover targets for therapeutic medications, and provide a more accurate and biologically based diagnostic criterion for the disorder.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
5F31MH087061-02
Application #
7970943
Study Section
Special Emphasis Panel (ZRG1-F08-G (20))
Program Officer
Vogel, Michael W
Project Start
2010-01-01
Project End
2011-06-03
Budget Start
2011-01-01
Budget End
2011-06-03
Support Year
2
Fiscal Year
2011
Total Cost
$16,655
Indirect Cost
Name
University of California Los Angeles
Department
Neurology
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Jahanshad, Neda; Kohannim, Omid; Hibar, Derrek P et al. (2012) Brain structure in healthy adults is related to serum transferrin and the H63D polymorphism in the HFE gene. Proc Natl Acad Sci U S A 109:E851-9
Stein, Jason L; Medland, Sarah E; Vasquez, Alejandro Arias et al. (2012) Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet 44:552-61
Braskie, Meredith N; Jahanshad, Neda; Stein, Jason L et al. (2012) Relationship of a variant in the NTRK1 gene to white matter microstructure in young adults. J Neurosci 32:5964-72
Kohannim, Omid; Jahanshad, Neda; Braskie, Meredith N et al. (2012) Predicting white matter integrity from multiple common genetic variants. Neuropsychopharmacology 37:2012-9
Braskie, Meredith N; Jahanshad, Neda; Stein, Jason L et al. (2011) Common Alzheimer's disease risk variant within the CLU gene affects white matter microstructure in young adults. J Neurosci 31:6764-70
Stein, J L; Hibar, D P; Madsen, S K et al. (2011) Discovery and replication of dopamine-related gene effects on caudate volume in young and elderly populations (N=1198) using genome-wide search. Mol Psychiatry 16:927-37, 881
Ho, April J; Stein, Jason L; Hua, Xue et al. (2010) A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly. Proc Natl Acad Sci U S A 107:8404-9
Stein, Jason L; Hua, Xue; Morra, Jonathan H et al. (2010) Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neuroimage 51:542-54
Stein, Jason L; Hua, Xue; Lee, Suh et al. (2010) Voxelwise genome-wide association study (vGWAS). Neuroimage 53:1160-74