This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.To ascertain a minimum of 420 pedigrees from 7 sites (Harvard University, the Mount Sinai School of Medicine, UCLA, UCSD, UCHSC, the University of Pennsylvania, and the University of Washington) and 5 years of the project with a proband who has schizopherenia, by DSM-IV criteria. There must always be at least one parent and one other sibling in the pedigree (although the projected average pedigree size will be 4). To obtain the following robust and quality assured phenotype measures in this sample, in addition to a structures (DIGS) diagnosi: P50 suppression, prepulse inhibition of acoustic startle, antisaccade, continuous performance test, verbal memory, and working memory.To perform complex segregation analyses to determine which of these variables (a) are likely to reflect the same underlying neuronal processes, and (b) indicate genetic transmission of risk for schizophrenia.To perform a genome scan with polymorphic markers to assess the presence of genetic linkage of phenotypes identified in specific Aim 3 to specific chromosomal loci.Based on the data from specific aim 4, to model the neurobiological basis of risk for schizophrenia, as a combination of specific elements of genetically or non-genetically determined brain dysfunction.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
General Clinical Research Centers Program (M01)
Project #
5M01RR000827-33
Application #
7724902
Study Section
National Center for Research Resources Initial Review Group (RIRG)
Project Start
2007-12-01
Project End
2008-11-30
Budget Start
2007-12-01
Budget End
2008-11-30
Support Year
33
Fiscal Year
2008
Total Cost
$7,327
Indirect Cost
Name
University of California San Diego
Department
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Grams, Morgan E; Sang, Yingying; Ballew, Shoshana H et al. (2018) Predicting timing of clinical outcomes in patients with chronic kidney disease and severely decreased glomerular filtration rate. Kidney Int 93:1442-1451
Lavigne, Katie M; Woodward, Todd S (2018) Hallucination- and speech-specific hypercoupling in frontotemporal auditory and language networks in schizophrenia using combined task-based fMRI data: An fBIRN study. Hum Brain Mapp 39:1582-1595
Milot, Marie-Hélène; Marchal-Crespo, Laura; Beaulieu, Louis-David et al. (2018) Neural circuits activated by error amplification and haptic guidance training techniques during performance of a timing-based motor task by healthy individuals. Exp Brain Res 236:3085-3099
Hsu, Simon; Rifkin, Dena E; Criqui, Michael H et al. (2018) Relationship of femoral artery ultrasound measures of atherosclerosis with chronic kidney disease. J Vasc Surg 67:1855-1863.e1
Inker, Lesley A; Grams, Morgan E; Levey, Andrew S et al. (2018) Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium. Am J Kidney Dis :
Egnot, Natalie Suder; Barinas-Mitchell, Emma; Criqui, Michael H et al. (2018) An exploratory factor analysis of inflammatory and coagulation markers associated with femoral artery atherosclerosis in the San Diego Population Study. Thromb Res 164:9-14
Juraschek, Stephen P; Miller 3rd, Edgar R; Appel, Lawrence J (2018) Orthostatic Hypotension and Symptoms in the AASK Trial. Am J Hypertens 31:665-671
Hamadani, Kambiz M; Howe, Jesse; Jensen, Madeleine K et al. (2017) An in vitro tag-and-modify protein sample generation method for single-molecule fluorescence resonance energy transfer. J Biol Chem 292:15636-15648
Chen, Teresa K; Appel, Lawrence J; Grams, Morgan E et al. (2017) APOL1 Risk Variants and Cardiovascular Disease: Results From the AASK (African American Study of Kidney Disease and Hypertension). Arterioscler Thromb Vasc Biol 37:1765-1769
Juraschek, Stephen P; Appel, Lawrence J; Miller 3rd, Edgar R (2017) Metoprolol Increases Uric Acid and Risk of Gout in African Americans With Chronic Kidney Disease Attributed to Hypertension. Am J Hypertens 30:871-875

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