RESEARCH EDUCATION PROGRAM IN ASPECTS OF STATISTICAL GENETICS AND ADDICTION

统计遗传学和成瘾方面的研究教育计划

• 批准号: 8530203
• 负责人: Pamela Ann Madden
• 金额: $ 45.64万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8530203
• 关键词: Address; Advisory Committees; Algorithms; Area; Basic Science; Bioinformatics; Biological; Biometry; Clinical; Clinical Research; Clinical Sciences; Communities; Computer Simulation; Computer software; Computing Methodologies; Consultations; Data; Data Set; Development; Drug Addiction; Education; Educational Curriculum; Educational process of instructing; Environment; Evaluation; Faculty; Fellowship; Funding; Genetic; Genetic Predisposition to Disease; Genetic Research; Genomics; Genotype; Goals; Health; Human Genetics; Illicit Drugs; Individual; Institutes; Institution; International; Mathematics; Mentors; Methodology; Modeling; National Institute of Drug Abuse; Participant; Play; Postdoctoral Fellow; Postdoctoral Individual National Research Service Award; Procedures; Program Development; Program Evaluation; Psychology; Public Health; Qualifying; Recruitment Activity; Research; Research Personnel; Research Training; Resources; Respondent; Risk; Role; Sampling; Scheme; Science; Scientist; Series; Statistical Methods; Statistical Models; Testing; Training; Training and Education; United States National Institutes of Health; Universities; Visit; Washington; Work; addiction; base; career development; cognitive neuroscience; computer science; computerized tools; database of Genotypes and Phenotypes; disease classification; experience; flexibility; gene discovery; genetic analysis; genetic epidemiology; genome wide association study; infrastructure development; innovation; interest; member; metagenome; method development; multidisciplinary; novel; post-doctoral training; programs; tool; tool development

DESCRIPTION (provided by applicant): 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.

描述(由申请者提供)：该申请寻求五年的支持，以开发、评估和微调一个新的研究教育计划(WU-STAGEM：华盛顿大学成瘾遗传学方法学统计培训)，以培训博士后水平的科学家(5年资助期内9人)。受训人员(“项目参与者”)将包括来自生物统计学、数学、数量心理学和统计遗传学等背景的美国人和外国人。我们将为学员提供(I)开发、测试和应用新的统计和计算模型以解决基于遗传学的成瘾研究问题的专业知识，以及(Ii)足够的培训，使参与者能够与从事成瘾研究的基础和临床研究人员一起在多学科团队中合作。该计划的博士后科学家将在指导团队的指导下进行培训，该团队由(A)成瘾临床研究人员，(B)基础科学家，以及(C)具有相关统计或计算建模专业知识的研究人员组成，并在个别定制的正式课程的支持下进行。他们将与主办机构和其他地方的成瘾遗传学家合作(例如，通过NIDA遗传学联合会)，在可以对成瘾遗传学领域做出独特和迫切需要的贡献的领域确定和进行研究，生产新的计算机软件、新的算法或统计遗传分析方法等产品，以促进成瘾遗传学领域的发展。这些优先领域将包括(根据受训人员的背景和兴趣以及专家意见而变化)：1)将生物信息学数据纳入全球气候变化数据的统计分析和解释中；2)在以不同的抽样方案和稍有不同的表型评估为特征的数据集中结合全球气候变化数据方面的挑战；3)建立基因x环境相互作用效应的模型，并在基因发现的努力中纳入对全球气候变化效应的考虑。在这项培训工作中，我们将利用现有的数据集，如NIDA遗传学研究中心、zork.wustl.edu/nida/和DBGaP的数据集，以及与当地调查人员有关的更广泛的数据集。通过基础设施发展和持续的评估努力，在现有杰出机构优势的基础上，我们将寻求开发一个自给自足的项目，利用华盛顿大学的广泛专业知识，为成瘾遗传学领域提供训练有素的统计和计算建模专家。 与公共卫生有关：合法和非法药物依赖是相当大的个人和公共卫生负担。个体遗传脆弱性在导致成瘾风险方面的重要作用已得到充分证实。然而，在成瘾研究中工作的具有统计遗传学和计算基因组学专业知识的研究人员严重短缺，这一需求是本申请寻求通过其博士后研究教育计划来解决的。