The CTNA Clinical Core serves an important function as the central resource for the diverse clinical projects and pilots. It represents the distinct advantage of an Alcohol Research Center over a cluster of individual grants. The opportunity to fund a central facility with a distinguished leader provides a programmatic method to define needs and assign resources to address central issues. The central components of the Clinical Core are oversight of subject recruitment and clinical assessments for all clinical projects, data management and analysis.
The specific aims for this core are: A. Centralized monitoring of subject recruitment to: 1) Enhance the efficiency of enrollment into each project, including pilots;and 2) Update the Principal Investigators (PIs), the Scientific Advisory Board, and the Data Safety Monitoring Board of progress on the protocols B. Central oversight of assessments to: 1) Provide efficiency in training and assessment;2) Maintain consistency in the administration of assessments;3) Enhance the ability of investigators to pool data across studies;4) Insure that validated and current assessment tools are used;and 5) Support secondary analyses utilizing core assessments. C. Central provision of Data Management and Biostatistics support to: 1) Provide design and analytical expertise to meet the goals of the CTNA scientific agenda;2) Provide state-of-the-art methods for data management;3) Generate randomization lists and assess randomization implementation;4) Interface with specialized data analysis expertise related to particular technologies associated with the CTNA, including genetics and imaging;5) Prepare reports related to the progress of clinical studies for the Data Safety Monitoring Board;and 6) Provide statistical support for all investigators.

Public Health Relevance

The Clinical Core will insure the collection of quality data and the appropriate analysis of data. By doing so, the CTNA will better inform our understanding risk for alcohol dependence and the development of new treatments for alcoholism.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Specialized Center (P50)
Project #
5P50AA012870-14
Application #
8668818
Study Section
Special Emphasis Panel (ZAA1-GG)
Project Start
Project End
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
14
Fiscal Year
2014
Total Cost
$267,751
Indirect Cost
$79,061
Name
Yale University
Department
Type
DUNS #
043207562
City
New Haven
State
CT
Country
United States
Zip Code
06520
DeLorenzo, Christine; DellaGioia, Nicole; Bloch, Michael et al. (2015) In vivo ketamine-induced changes in [¹¹C]ABP688 binding to metabotropic glutamate receptor subtype 5. Biol Psychiatry 77:266-75
Li, Dawei; Zhao, Hongyu; Kranzler, Henry R et al. (2015) Genome-wide association study of copy number variations (CNVs) with opioid dependence. Neuropsychopharmacology 40:1016-26
Xie, Pingxing; Kranzler, Henry R; Krystal, John H et al. (2014) Deep resequencing of 17 glutamate system genes identifies rare variants in DISC1 and GRIN2B affecting risk of opioid dependence. Addict Biol 19:955-64
Barker, Jacqueline M; Taylor, Jane R (2014) Habitual alcohol seeking: modeling the transition from casual drinking to addiction. Neurosci Biobehav Rev 47:281-94
Steele, Vaughn R; Claus, Eric D; Aharoni, Eyal et al. (2014) A large scale (N=102) functional neuroimaging study of error processing in a Go/NoGo task. Behav Brain Res 268:127-38
Darcq, Emmanuel; Hamida, Sami Ben; Wu, Su et al. (2014) Inhibition of striatal-enriched tyrosine phosphatase 61 in the dorsomedial striatum is sufficient to increased ethanol consumption. J Neurochem 129:1024-34
Yang, Can; Li, Cong; Kranzler, Henry R et al. (2014) Exploring the genetic architecture of alcohol dependence in African-Americans via analysis of a genomewide set of common variants. Hum Genet 133:617-24
Morean, Meghan E; DeMartini, Kelly S; Leeman, Robert F et al. (2014) Psychometrically improved, abbreviated versions of three classic measures of impulsivity and self-control. Psychol Assess 26:1003-20
Xu, Hongqin; Wang, Fan; Liu, Yawen et al. (2014) Sex-biased methylome and transcriptome in human prefrontal cortex. Hum Mol Genet 23:1260-70
Krystal, John H; State, Matthew W (2014) Psychiatric disorders: diagnosis to therapy. Cell 157:201-14

Showing the most recent 10 out of 169 publications