The high heritability of schizophrenia indicates that identification of risk genes will provide fundamental information regarding the pathophysiological mechanisms of schizophrenia. Despite numerous patient studies, however, only a few schizophrenia risk genes have been strongly implicated and, importantly, their functional relevance to pathophysiology remains unknown. Investigation of biological markers of schizophrenia progression and the role of genetic variation would provide important information to the underlying biology of this disorder. The objective of the Genetics Core is to provide state-of-the-art genetic techniques and analyses to support the four CIDAR projects to investigate the role of genetic variation in putative markers of progression in schizophrenia. This application proposes to test genes with prior evidence for involvement in schizophrenia and with strong biological hypotheses for a role in one or more progression markers. The progression markers that will be investigated for genetic association include changes in event-related potentials and gray matter, white matter connections, cognitive measures, structural and functional brain region measures, and hormone levels. The central hypothesis is that genetic variation leads to variation in these indices of schizophrenia progression. This hypothesis will be tested by pursuing the following specific aim: 1) Identify genetic variation in candidate genes that contributes to progression of schizophrenia. It is postulated that progression of schizophrenia is controlled by genes. Furthermore, our working hypothesis is that genetic associations will be detected between the progression biomarkers examined by the CIDAR projects (Cognitive Function, Hormones and Sex Effects, ERPs and Gray Matter, and White Matter) and single nucleotide polymorphisms (SNPs) and haplotypes of specific candidate genes. The proposed research is significant to advance understanding of schizophrenia because it will provide crucial data on the role of genetic variation in progression of this disease. Relevance to Public Health: Schizophrenia is an important genetic disorder that will be better understood once the susceptibility genes are identified and their impact on pathophysiology is understood. The proposed research will have an important positive impact because it is expected to identify genes that contribute to schizophrenia progression that will provide new opportunities for identification of the molecular causes of schizophrenia and the development of therapeutic interventions that will aid patients and their families.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH080272-05
Application #
8318788
Study Section
Special Emphasis Panel (ZMH1)
Project Start
Project End
2013-08-31
Budget Start
2011-09-01
Budget End
2012-08-31
Support Year
5
Fiscal Year
2011
Total Cost
$102,790
Indirect Cost
Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215
Stowkowy, Jacqueline; Liu, Lu; Cadenhead, Kristin S et al. (2018) Exploration of clinical high-risk dropouts. Schizophr Res 195:579-580
Hamoda, Hesham M; Makhlouf, A T; Fitzsimmons, J et al. (2018) Abnormalities in thalamo-cortical connections in patients with first-episode schizophrenia: a two-tensor tractography study. Brain Imaging Behav :
Seitz, Johanna; Rathi, Yogesh; Lyall, Amanda et al. (2018) Alteration of gray matter microstructure in schizophrenia. Brain Imaging Behav 12:54-63
Kline, Emily; Hendel, Victoria; Friedman-Yakoobian, Michelle et al. (2018) A comparison of neurocognition and functioning in first episode psychosis populations: do research samples reflect the real world? Soc Psychiatry Psychiatr Epidemiol :
Hampton, Joya N; Trotman, Hanan D; Addington, Jean et al. (2018) The relation of atypical antipsychotic use and stress with weight in individuals at clinical high risk for psychosis. Stress Health 34:591-600
Saito, Yukiko; Kubicki, Marek; Koerte, Inga et al. (2018) Impaired white matter connectivity between regions containing mirror neurons, and relationship to negative symptoms and social cognition, in patients with first-episode schizophrenia. Brain Imaging Behav 12:229-237
Woodberry, Kristen A; Seidman, Larry J; Bryant, Caitlin et al. (2018) Treatment Precedes Positive Symptoms in North American Adolescent and Young Adult Clinical High Risk Cohort. J Clin Child Adolesc Psychol 47:69-78
Ohtani, Toshiyuki; Del Re, Elisabetta; Levitt, James J et al. (2018) Progressive symptom-associated prefrontal volume loss occurs in first-episode schizophrenia but not in affective psychosis. Brain Struct Funct 223:2879-2892
Konishi, Jun; Del Re, Elisabetta C; Bouix, Sylvain et al. (2018) Abnormal relationships between local and global brain measures in subjects at clinical high risk for psychosis: a pilot study. Brain Imaging Behav 12:974-988
Chung, Yoonho; Haut, Kristen M; He, George et al. (2017) Ventricular enlargement and progressive reduction of cortical gray matter are linked in prodromal youth who develop psychosis. Schizophr Res 189:169-174

Showing the most recent 10 out of 156 publications