? The overriding goal of the proposed Transdisciplinary Imaging Genetics Center, an exploratory center, is to enhance our understanding of brain function in health and disease, through facilitation of development of a new discipline, referred to as imaging genetics. ? ? The Center does this by assembling an interdisciplinary team of experts from U.C. Irvine and the University of Toronto with experience in genomics, imaging analysis, statistical methods, and complementary areas viewed as key to this goal. These experts, complemented by the Center's consultants and External Advisory Board, have developed novel methods in their respective fields. The major focus of this project is to develop methods for combining imaging and genomics. It is clear that mental illness involves brain dysfunction that can be visualized with advanced brain imaging techniques. Mental illness as well as normal brain function also has a hereditary component; therefore, it is essential that the genes related to aspects of brain development, mental function and dysfunction, be considered. The integration of the imaging data with the rich genetic data resulting from the human genome project will enhance our understanding of brain function and mental illness. The value of this integration is illustrated in our initial studies that demonstrated an association between brain metabolism, clinical response and DRD1 alleles (Potkin at al, 2003), and between brain metabolism, risk of tardive dyskinesia, a motor side-effect on antipsychotic treatment, and DRD3 alleles (Potkin et al 2003b, Basile et al, 2002). ? ? The Center proposes the facilitation of an ongoing dialogue among the various fields involved by sponsoring annual international symposia and the development and implementation of a roadmap or work plan for this emerging discipline. The work plan for the Center will be guided by a transdiscipllnary collaboration between the Center investigators, their Steering Committee, the Center consultants, and the External Advisory Board. The Steering Committee and External Advisory Board are also charged with evaluating the Center's research progress and suggesting alternative solutions, as well as guiding the overall development of the Center. ? ? If the aims of the Center are achieved, the emerging field of genetic imaging will be positioned to enhance understanding of the biologically complex problem of mental illness, individual differences, and the interplay between genetics, environment, and brain function. Study of these fields individually has provided important revelations regarding brain dysfunction. Their integration and interaction, however, will provide new knowledge that would not be otherwise available. These goals could not be achieved without a unifying Center focused on a single integrative theme. The new knowledge generated by the Center holds considerable promise for improving diagnosis and treatment of mental illness. ? ?

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Exploratory Grants (P20)
Project #
5P20RR020837-03
Application #
7107205
Study Section
Special Emphasis Panel (ZRR1-BT-B (01))
Program Officer
Farber, Gregory K
Project Start
2004-09-28
Project End
2009-07-31
Budget Start
2006-08-01
Budget End
2009-07-31
Support Year
3
Fiscal Year
2006
Total Cost
$559,769
Indirect Cost
Name
University of California Irvine
Department
Psychiatry
Type
Schools of Medicine
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
Doran, Eric; Keator, David; Head, Elizabeth et al. (2017) Down Syndrome, Partial Trisomy 21, and Absence of Alzheimer's Disease: The Role of APP. J Alzheimers Dis 56:459-470
Geerts, Hugo; Roberts, Patrick; Spiros, Athan et al. (2015) Understanding responder neurobiology in schizophrenia using a quantitative systems pharmacology model: application to iloperidone. J Psychopharmacol 29:372-82
Potkin, Steven G; Macciardi, Fabio; van Erp, Theo G M (2014) Imaging genetics approaches to identify mechanisms in severe mental illness. Biol Psychiatry 76:436-7
Guffanti, Guia; Torri, Federica; Rasmussen, Jerod et al. (2013) Increased CNV-region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample. Genomics 102:112-22
Swaminathan, Shanker; Shen, Li; Risacher, Shannon L et al. (2012) Amyloid pathway-based candidate gene analysis of [(11)C]PiB-PET in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Brain Imaging Behav 6:1-15
Rasmussen, Jerod M; Lakatos, Anita; van Erp, Theo G M et al. (2012) Empirical derivation of the reference region for computing diagnostic sensitive ยน?fluorodeoxyglucose ratios in Alzheimer's disease based on the ADNI sample. Biochim Biophys Acta 1822:457-66
Saykin, Andrew J; Shen, Li; Foroud, Tatiana M et al. (2010) Alzheimer's Disease Neuroimaging Initiative biomarkers as quantitative phenotypes: Genetics core aims, progress, and plans. Alzheimers Dement 6:265-73
Lakatos, Anita; Derbeneva, Olga; Younes, Danny et al. (2010) Association between mitochondrial DNA variations and Alzheimer's disease in the ADNI cohort. Neurobiol Aging 31:1355-63
Kim, Seyoung; Smyth, Padhraic; Stern, Hal (2010) A Bayesian mixture approach to modeling spatial activation patterns in multisite fMRI data. IEEE Trans Med Imaging 29:1260-74
Potkin, Steven G; Macciardi, Fabio; Guffanti, Guia et al. (2010) Identifying gene regulatory networks in schizophrenia. Neuroimage 53:839-47

Showing the most recent 10 out of 17 publications