Velocardiofacial syndrome (VCFS), caused by a microdeletion on chromosome 22q11.2 and affecting 1:4000 individuals, is associated with congenital anomalies, neurocognitive deficits, and, in up to 30% of adults with this syndrome, schizophrenia (SZ). We are only beginning to identify the factors that predict SZ n individuals with this genetic disorder. In this application, we are proposing to continue our longitudinal study of risk factors for psychosis in VCFS that we began in February of 2001. During the past 5 years, we have collected extensive neuroanatomic, cognitive, and psychiatric data at two time points on 83 youth with VCFS, 33 of their unaffected siblings and 38 community controls. These data have permitted us to begin to map the trajectory of cognitive, psychiatric and neuroanatomic development in children with VCFS, and to determine which of these factors predict poor psychiatric function at Time 2. However, the youth in our sample are just reaching the age at which they are most vulnerable to the onset of SZ. Accordingly, it is critical that we continue follow this cohort in order to identify the neuroanatomic and neuropsychological factors that are associated with, and may be predictive of, the onset of SZ. The goal of the proposed project is to extend our investigation of this large sample through a third phase of data collection, which will span the age range (15-21 years) during which youth with VCFS become vulnerable to the onset of SZ. We are proposing to apply advanced computational tools to analyze the cortical thickness and cortical morphology of the specific brain regions that we have found are altered in youth with VCFS and that may be associated with poor psychiatric function. We will then examine the effect of genotype, brain volumes, cortical surface morphology / thickness and neurocognitive function on psychiatric outcome.
Our specific aims are: 1) to map the neuroanatomic, neurocognitive and psychiatric trajectory in youth with VCFS; to determine the extent to which the developmental trajectories of 2) specific brain volumes, cortical surface morphology and cortical thickness, 3) neuropsychological function, and 4) psychiatric disorders are associated with either premorbid or positive symptoms of SZ at Time 3; and 5) to determine whether allelic variation in the Val158Met COMT polymorphism predicts either premorbid or positive symptoms of SZ at Time 3. The high rate of SZ in VCFS constitutes a significant public health concern for both families and society. Identifying those factors that place youth with VCFS at the highest risk for SZ will impact positively on the early, preventative intervention and treatment of psychiatrically impaired children and youth with VCFS, thus reducing its toll on families and society. ? ? ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH064824-08
Application #
7478631
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Delcarmen-Wiggins, Rebecca
Project Start
2002-02-19
Project End
2011-05-31
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
8
Fiscal Year
2008
Total Cost
$652,029
Indirect Cost
Name
Upstate Medical University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
058889106
City
Syracuse
State
NY
Country
United States
Zip Code
13210
Taylor, Lea E; Kates, Wendy R; Fremont, Wanda et al. (2018) Young Adult Outcomes for Children With 22q11 Deletion Syndrome and Comorbid ADHD. J Pediatr Psychol 43:636-644
Zhao, Yingjie; Guo, Tingwei; Fiksinski, Ania et al. (2018) Variance of IQ is partially dependent on deletion type among 1,427 22q11.2 deletion syndrome subjects. Am J Med Genet A 176:2172-2181
Mattiaccio, Leah M; Coman, Ioana L; Thompson, Carlie A et al. (2018) Frontal dysconnectivity in 22q11.2 deletion syndrome: an atlas-based functional connectivity analysis. Behav Brain Funct 14:2
Albert, Avery B; Abu-Ramadan, Tamara; Kates, Wendy R et al. (2018) Childhood Executive Functioning Predicts Young Adult Outcomes in 22q11.2 Deletion Syndrome. J Int Neuropsychol Soc 24:905-916
Guo, Tingwei; Diacou, Alexander; Nomaru, Hiroko et al. (2018) Deletion size analysis of 1680 22q11.2DS subjects identifies a new recombination hotspot on chromosome 22q11.2. Hum Mol Genet 27:1150-1163
Russo, Natalie; Kates, Wendy R; Shea, Nicole et al. (2018) Adults blink more deeply: a comparative study of the attentional blink across different age groups. Dev Sci 21:
Gur, R E; Bassett, A S; McDonald-McGinn, D M et al. (2017) A neurogenetic model for the study of schizophrenia spectrum disorders: the International 22q11.2 Deletion Syndrome Brain Behavior Consortium. Mol Psychiatry 22:1664-1672
Russo, Natalie; Kates, Wendy R; Wyble, Brad (2017) Developmental changes in feature detection across time: Evidence from the attentional blink. J Exp Child Psychol 164:32-44
Tylee, Daniel S; Kikinis, Zora; Quinn, Thomas P et al. (2017) Machine-learning classification of 22q11.2 deletion syndrome: A diffusion tensor imaging study. Neuroimage Clin 15:832-842
Schreiner, Matthew; Forsyth, Jennifer K; Karlsgodt, Katherine H et al. (2017) Intrinsic Connectivity Network-Based Classification and Detection of Psychotic Symptoms in Youth With 22q11.2 Deletions. Cereb Cortex 27:3294-3306

Showing the most recent 10 out of 65 publications