GENE-ENVIRONMENT INTERPLAY IN ALCOHOLISM

描述（由申请人提供）：本K05竞争更新申请寻求继续支持申请人的研究和初级教师指导计划，该计划调查酒精使用障碍发病，过程和后果中的基因-环境相互作用，特别强调了解女性AUD。自1988年以来，该候选人一直以R01 PI的身份获得NIAAA的资助，并发表了500多篇论文，其中许多被高度引用。他领导了许多关于酒精使用障碍遗传流行病学的研究。他的职业发展计划旨在获取知识，以进一步扩大他的研究范围，利用全基因组测序（利用他的澳大利亚双胞胎家族系列进行基因发现）、宏基因组学（包括其生物标志物开发的潜力）、空间流行病学（允许将社区酒精相关风险因素的生态数据与现有队列研究相结合）、和神经成像（为了最大限度地发挥他在人类连接组项目中所扮演的角色对酒精研究界的价值）：换句话说，寻求继续改进遗传（可能包括宏基因组）风险的表征，环境风险的表征和表型，进一步了解基因-环境相互作用，利用这些研究领域独特的制度环境。他将指导3-5名初级教师，研究重点是澳元风险的各个方面：例如(i)严重酒精中毒妇女缓解的预测因素；㈡儿童性虐待对酒精使用模式的影响；（iii）统计建模检测

DESCRIPTION (provided by applicant): This K05 competing renewal application seeks continued support for the applicant's research and junior faculty mentoring program, which investigates gene-environment interplay in alcohol use disorder onset, course and consequences, with a particular emphasis on understanding female AUD. The candidate has been continuously funded by NIAAA as R01 PI since 1988, and has over 500 publications, many highly cited. He has led many investigations on the genetic epidemiology of alcohol use disorder. His career development plan seeks to acquire knowledge to further expand the reach of his research, to take advantage of emerging opportunities in whole genome sequencing (for gene discovery using his Australian twin-family series), metagenomics (including its potential for biomarker development), spatial epidemiology (to allow merging of ecological data on neighborhood alcohol-related risk-factors with existing cohort studies), and neuroimaging (to maximize the value for the alcohol research community of his role in the Human Connectome Project): in other words, seeks to continue to improve characterization of genetic (perhaps including metagenomic) risks, characterization of environmental risks, and phenotyping, to further gene-environment interplay understanding, taking advantage of the unique institutional environment for these areas of research. He will mentor 3-5 junior faculty with research focused on varied aspects of AUD risk: e.g. (i) predictors of remission in women with severe alcoholism; (ii) childhood sexual abuse effects on alcohol use patterning; (iii) statistical modeling to detect excessive drinking effects on human brain functional connectivity; (iv) maternal alcoholism, parental separation, and early-onset drinking; (v) processes underlying alcoholism-binge eating comorbidity. His research plan focuses on two priority areas - extension of his follow-up of the MOAFTS twin cohort, to focus on predictors of remission of alcohol problems; and high-risk research using fecal sample collection from current and former excessive drinkers and BMI-matched controls, combined with bacterial 16S rRNA gene sequencing, to determine whether chronic alcohol effects on gut microbial ecology can lead to new approaches for the detection of excessive drinking.