Novel Methods for Longitudinal Study of Gene-Environment Interplay in Alcoholism

酒精中毒基因与环境相互作用纵向研究的新方法

• 批准号: 9267409
• 负责人: Zuoheng Wang
• 金额: $ 17.25万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9267409
• 关键词: Affect; Aging; Alcohol abuse; Alcohol consumption; Alcohol dependence; Alcoholism; Base Sequence; Behavior; Biological; Biometry; Characteristics; Chromosome Mapping; Chronic; Clinical; Cocaine Dependence; Cohort Studies; Complex; Computational Biology; Computational algorithm; DNA; Data; Data Set; Detection; Development; Disease; Education; Employment; Environment; Environmental Risk Factor; Etiology; Future; Genes; Genetic; Genetic Enhancement; Genetic Risk; Genetic study; Genotype; Goals; HIV; HIV Infections; HIV Seropositivity; Homelessness; Human Genetics; Income; Individual; Investigation; Joints; Justice; Knowledge; Longitudinal Studies; Longitudinal cohort; Marital Status; Measurement; Measures; Medical; Mental disorders; Mentored Research Scientist Development Award; Mentors; Methodology; Methods; Modeling; Opiate Addiction; Outcomes Research; Participant; Pathogenesis; Pathway interactions; Patients; Pattern; Phenotype; Population; Preparation; Prevention; Preventive Intervention; Psychiatry; Public Health; Public Health Schools; Research; Research Personnel; Role; Sampling; Series; Statistical Methods; Statistical Models; Suggestion; Time; Training; United States; Validation; Variant; Veterans; Work; addiction; alcohol comorbidity; alcohol exposure; alcohol related problem; alcohol risk; alcohol use disorder; analytical tool; base; case control; cohort; design; experience; gene environment interaction; genetic risk factor; genetic variant; genome wide association study; genome-wide; genome-wide analysis; improved; insight; interest; multidisciplinary; novel; programs; psychogenetics; public health relevance; simulation; skills; social; statistics; translational neuroscience

 DESCRIPTION (provided by applicant): The candidate is a genetic statistician in the Department of Biostatistics at Yale School of Public Health. Her research interests focus on the development and applications of statistical methods and computational algorithms for understanding the vulnerability and progression of addiction behaviors, from a genetic perspective. This K01 Award is designed to provide the candidate with the support necessary to accomplish the following goals: (1) to establish a more in-depth understanding of alcoholism and its clinical manifestations; (2) to gain knowledge on the characteristics of alcohol use in HIV infected population; (3) to increase her proficiency in psychiatric genetics; (4) to advance her skills in statistical modeling and computation; and (5) to develop an independent research program in the interface of statistics, genetics and psychiatry. To achieve these goals, the candidate has assembled a multi-disciplinary mentoring team comprised of a primary mentor, Dr. Hongyu Zhao, Chair of the Biostatistics Department at Yale, an expert in statistical genetics, computational biology and human genetics, and three co-mentors: Dr. Joel Gelernter, who has expertise in the genetics of psychiatric disorders; Dr. John Krystal, a pioneer in the application of translational neuroscience approaches to the study of alcoholism; and Dr. Amy Justice, an expert on outcome research in chronic HIV infection. Alcohol use disorder is a predominant problem in HIV infected population. The proposed research in this application is to improve the detection of genes and gene-environment interactions by developing novel statistical methods making better use of the longitudinal genetic data. The proposed methods will be used to characterize the course of alcohol exposure in the Veterans Aging Cohort Study (VACS). In this study, a series of kernel- machine nonparametric methods will be developed and applied to a genome-wide study to (1) search for the joint genetic effects at various levels of biological information such as genes, regions and pathways; (2) detect genes affecting the temporal patterns of alcohol use; and (3) explore G×E interactions with social- environmental factors (e.g., marital status, homelessness and employment) that are well established correlated of alcohol related problems, and potential G×HIV interactions in the course of alcohol use. The novel genetic and environmental interaction findings will likely provide new insights into the etiology of alcohol use disorder, particularly in HIV infected population. The training and research experience gained from the proposed study will serve as the groundwork for an independent research program with a focus on methodological work to help understand the genetic and environmental mechanisms underlying alcohol use and comorbid disorders.

 描述（由申请人提供）：该候选人是耶鲁大学公共卫生学院生物统计学系的遗传统计学家。她的研究兴趣集中在统计方法和计算算法的开发和应用，从遗传学的角度了解成瘾行为的脆弱性和进展。该K 01奖旨在为候选人提供实现以下目标所需的支持：（1）更深入地了解酗酒及其临床表现;（2）了解艾滋病毒使用酒精的特征 受感染人口;（3）提高她在精神病学遗传学方面的熟练程度;（4）提高她在统计建模和计算方面的技能;（5）在统计学，遗传学和精神病学的界面上开发独立的研究计划。为了实现这些目标，候选人组建了一个多学科的指导团队，由一位主要导师，耶鲁大学生物统计学系主任，统计遗传学，计算生物学和人类遗传学专家Hongyu Zhao博士和三位共同导师组成：Joel Gelernter博士，他拥有精神疾病遗传学方面的专业知识; John Krystal博士是将转化神经科学方法应用于酗酒研究的先驱; Amy Justice博士是慢性HIV感染结果研究专家。酒精使用障碍是HIV感染人群的主要问题。本申请中的拟议研究是通过开发新的统计方法，更好地利用纵向遗传数据来改善基因和基因-环境相互作用的检测。所提出的方法将被用来描述退伍军人老化队列研究（VACS）中酒精暴露的过程。在这项研究中，将开发一系列核-机非参数方法并应用于全基因组研究，以（1）在基因，区域和途径等生物信息的各个水平上寻找联合遗传效应;（2）检测影响酒精使用时间模式的基因;（3）探索G×E与社会环境因素（例如，婚姻状况、无家可归和就业）已被证实与酒精相关问题以及饮酒过程中潜在的G×HIV相互作用相关。新的遗传和环境相互作用的发现可能会提供新的见解酒精使用障碍的病因，特别是在艾滋病毒感染人群。从拟议的研究中获得的培训和研究经验将作为独立研究计划的基础，重点是方法学工作，以帮助了解酒精使用和共病疾病的遗传和环境机制。