DATA MANAGEMENT AND ANALYSIS CORE (DMAC): The DMAC will manage and store all relevant research data and provide data analytic support for all projects in COGEND. Our overall aims are to: 1) Maintain a database containing all instruments administered in COGEND, derived measures such as diagnoses, Fagerstrom scores and indices of nicotine consumption. 2) Provide well-documented, cleaned copies of all data sets to COGEND investigators on a regular basis and distribute data to investigators external to COGEND in accordance with agreed-upon procedures for sharing. Provide support and expertise in investigating the data contained in all data sets to COGEND and accepted non-COGEND investigators. 3) Maintain a web site for COGEND investigators. Access will require a sign-on and password. 4) Maintain data sets containing the genotypic data from the molecular genetics component of COGEND and data files describing the SNP markers. We will provide automated cleaning programs to check for genotyping errors, and provide an interface using a genome browser for annotation. 5) Maintain a dynamic process to provide oversight and support for the data analyses of the individual COGEND projects. The Data Analysis Committee will work with project investigators to provide formatted data for analysis, recommend analysis protocols to the individual projects, and supply expertise in necessary methodologic areas. These latter would include recommendations for dealing with multiple testing, prioritization and design of follow-up experiments, and advice on statistical techniques. 6) Transmit data to the NIDA Genetics Repository for sharing with the wider scientific community. The COGEND data represent a unique resource. The sample size is large enough to provide significant power to test the primary hypotheses. Moreover, one of the most important aims of COGEND is to make these resources available to the broader scientific community. This will be done in a way to permit alternative analyses for phenotypic classification, testing of new candidate genes, or testing integrative hypotheses across several domains.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Program Projects (P01)
Project #
Application #
Study Section
Special Emphasis Panel (ZCA1-RPRB-7)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Washington University
Saint Louis
United States
Zip Code
Prakash, Siddharth K; Bondy, Carolyn A; Maslen, Cheryl L et al. (2016) Autosomal and X chromosome structural variants are associated with congenital heart defects in Turner syndrome: The NHLBI GenTAC registry. Am J Med Genet A 170:3157-3164
van den Berg, Stéphanie M; de Moor, Marleen H M; Verweij, Karin J H et al. (2016) Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality Consortium. Behav Genet 46:170-82
Schwantes-An, Tae-Hwi; Zhang, Juan; Chen, Li-Shiun et al. (2016) Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts. Behav Genet 46:151-69
Green, E K; Rees, E; Walters, J T R et al. (2016) Copy number variation in bipolar disorder. Mol Psychiatry 21:89-93
Prakash, Siddharth; Kuang, Shao-Qing; GenTAC Registry Investigators et al. (2016) Recurrent Rare Genomic Copy Number Variants and Bicuspid Aortic Valve Are Enriched in Early Onset Thoracic Aortic Aneurysms and Dissections. PLoS One 11:e0153543
Rees, Elliott; Kendall, Kimberley; Pardiñas, Antonio F et al. (2016) Analysis of Intellectual Disability Copy Number Variants for Association With Schizophrenia. JAMA Psychiatry 73:963-9
Olfson, E; Saccone, N L; Johnson, E O et al. (2016) Rare, low frequency and common coding variants in CHRNA5 and their contribution to nicotine dependence in European and African Americans. Mol Psychiatry 21:601-7
Clarke, Toni-Kim; Smith, Andrew H; Gelernter, Joel et al. (2016) Polygenic risk for alcohol dependence associates with alcohol consumption, cognitive function and social deprivation in a population-based cohort. Addict Biol 21:469-80
Plunk, Andrew D; Krauss, Melissa J; Syed-Mohammed, Husham et al. (2016) The Impact of the Minimum Legal Drinking Age on Alcohol-Related Chronic Disease Mortality. Alcohol Clin Exp Res 40:1761-8
Sherva, Richard; Wang, Qian; Kranzler, Henry et al. (2016) Genome-wide Association Study of Cannabis Dependence Severity, Novel Risk Variants, and Shared Genetic Risks. JAMA Psychiatry 73:472-80

Showing the most recent 10 out of 249 publications