This application seeks five years of support to develop, evaluate and fine-tune a new research education program (WU-STAGEM: Washington University Statistical Training in Addiction Genetics Methodology), to train postdoctoral level scientists (9 over the 5-year funding period). Trainees (""""""""program participants"""""""") will include both US and foreign nationals, drawn from backgrounds such as biostatistics, mathematics, quantitative psychology and statistical genetics. We will provide trainees with both (i) the expertise to develop, test and apply new statistical and computational models to address genetics-based research problems in addiction, and (ii) sufficient training to allow participants to work collaboratively in multidisciplinary teams alongside basic and clinical researchers engaged in addiction research. Program postdoctoral scientists will train under the guidance of mentoring teams composed of (a) clinical researchers in addiction, (b) basic scientists and, most critically, (c) researchers with pertinent statistical or computational modeling expertise, with the support of individually tailored formal coursework. They will work with addiction geneticists at the host institution and elsewhere (e.g., through the NIDA Genetics Consortium) to identify and conduct research in areas where unique and urgently needed contributions to the field of addiction genetics can be made, producing products such as novel computer software, novel algorithms or approaches to statistical genetic analysis, to advance the field of addiction genetics. These priority areas will include (varying according to trainee backgrounds and interests and expert input): 1) incorporation of bioinformatics data in the statistical analysis and interpretation of GWAS data, 2) challenges in the combination of GWAS data across data-sets characterized by differing sampling schemes and somewhat different phenotypic assessments, and 3) modeling of genotype x environment interaction effects, and incorporation of consideration of GxE effects in efforts at gene-discovery. We will take advantage of existing data sets such as those at the NIDA Center for Genetic studies;zork.wustl.edu/nida/ and at dbGap, as well as more extensive data-sets associated with local investigators, in this training effort. Through infrastructure development and continuing evaluation efforts, building upon outstanding existing institutional strengths, we will seek to develop a self-sustaining program, drawing upon the wide-ranging expertise at Washington University that can supply highly trained experts in statistical and computational modeling to the field of addiction genetics.

Public Health Relevance

Licit and illicit drug dependence represents a considerable personal and public health burden. The important role of individual genetic vulnerability in contributing to addiction risk is well established. However, there is a critical shortage of investigators with expertise in statistical genetics and computational genomics working in addiction research, a need that this application seeks to address through its postdoctoral research education program. NARRATIVE Licit and illicit drug dependence represents a considerable personal and public health burden. The important role of individual genetic vulnerability in contributing to addiction risk is well established. However, there is a critical shortage of investigators with expertise in statistical genetics and computational genomics working in addiction research, a need that this application seeks to address through its postdoctoral research education program.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Education Projects (R25)
Project #
5R25DA027995-06
Application #
8723791
Study Section
Special Emphasis Panel (ZDA1-MXS-M (10))
Program Officer
Babecki, Beth
Project Start
2009-09-01
Project End
2015-02-28
Budget Start
2014-03-01
Budget End
2015-02-28
Support Year
6
Fiscal Year
2014
Total Cost
$407,959
Indirect Cost
$26,421
Name
Washington University
Department
Psychiatry
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Cheng, Cheng; Deng, Pan-Yue; Ikeuchi, Yoshiho et al. (2018) Characterization of a Mouse Model of Börjeson-Forssman-Lehmann Syndrome. Cell Rep 25:1404-1414.e6
Zhang, Chengkang; Lee, Hyung Joo; Shrivastava, Anura et al. (2018) Long-Term In Vitro Expansion of Epithelial Stem Cells Enabled by Pharmacological Inhibition of PAK1-ROCK-Myosin II and TGF-? Signaling. Cell Rep 25:598-610.e5
Jiang, Kaiyu; Wong, Laiping; Chen, Yanmin et al. (2018) Soluble inflammatory mediators induce transcriptional re-organization that is independent of dna methylation changes in cultured human chorionic villous trophoblasts. J Reprod Immunol 128:2-8
Xing, Xiaoyun; Zhang, Bo; Li, Daofeng et al. (2018) Comprehensive Whole DNA Methylome Analysis by Integrating MeDIP-seq and MRE-seq. Methods Mol Biol 1708:209-246
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Bailey, Matthew H; Tokheim, Collin; Porta-Pardo, Eduard et al. (2018) Comprehensive Characterization of Cancer Driver Genes and Mutations. Cell 173:371-385.e18
Fernández, Maria V; Budde, John; Del-Aguila, Jorge L et al. (2018) Evaluation of Gene-Based Family-Based Methods to Detect Novel Genes Associated With Familial Late Onset Alzheimer Disease. Front Neurosci 12:209
Dai, Xiaoyu; Lin, Nan; Li, Daofeng et al. (2018) A non-randomized procedure for large-scale heterogeneous multiple discrete testing based on randomized tests. Biometrics :
Zhu, Liangliang; Yan, Feihu; Wang, Zhen et al. (2018) Genome-wide DNA methylation profiling of primary colorectal laterally spreading tumors identifies disease-specific epimutations on common pathways. Int J Cancer 143:2488-2498
Del-Aguila, Jorge L; Fernández, Maria Victoria; Schindler, Suzanne et al. (2018) Assessment of the Genetic Architecture of Alzheimer's Disease Risk in Rate of Memory Decline. J Alzheimers Dis 62:745-756

Showing the most recent 10 out of 95 publications