Driven exercise and risk for eating disorders: A combined genetic and longitudinal epidemiological investigation

项目总结 应聘者：我是该大学精神病学系的临床心理学家和助理教授 威斯康星州(UW)。职业目标：我的最终目标是将我的临床专业知识与遗传学培训结合起来 流行病学和统计遗传学，这将使我能够开发复杂的风险预测模型 精神病学中与饮食和活动相关的风险。将遗传信息与详细信息相结合的调查 流行病学数据将提高对病原学的理解，加强检测和诊断，并导致新的 对精神疾病的干预。职业发展：我请求支持辅导式培训以培养技能 在四个领域：(1)与健康有关的行为的遗传和生物风险；(2)纵向数据分析；(3)遗传 流行病学和统计遗传学；以及(4)初级教员的专业发展。研究 项目：这项研究利用了雅芳亲子纵向研究的现有数据资源 (ALSPAC)和精神病学基因组学联盟(PGC)以及来自几个 大规模的流行病学研究。这个项目的主要目标将是绘制出遗传和发育风险图 动力运动，这是饮食失调的一个常见而未被研究的特征。首先，我将确定和描述 ALSPAC和CATURE中从儿童期晚期到成年初期的身体活动轨迹 这些轨迹与运动和饮食失调风险之间的关系。第二，我将研究 在ALSPAC和PGC中，驱动运动与进食障碍精神病理学之间的关系。 最后，我将使用基因组结构方程模型来确定驱动力运动反映的程度 遗传倾向于理论上相关联的性状。这些结果将为我未来的独立申请提供信息 (R01)探索基因和环境对预测饮食失调风险的独特贡献 精神疾病的活动模式。环境：拟议的培训和研究将在威斯康星州大学和 包括与PGC的国际力量和基因领域的顶尖研究人员的合作 流行病学、饮食失调、运动心理学和统计遗传学。导师制：导师制团队 将由科琳·恩格尔曼博士领导，他的研究重点是复杂人类特征的遗传流行病学。 Cynthia Bulik博士，共同导师，国际公认的饮食失调研究专家，并担任 PGC的饮食失调工作组。Nadia Micali博士，联合导师，一直是导致进食障碍的人 过去20年来在ALSPAC队列中的资源。合作者戴恩·库克博士在 运动心理生物学。合作者吕琼石博士具有统计遗传学方面的专业知识， 包括本申请中提出的方法，而合作者凯瑟琳·刘易斯博士是世界知名的专家 在统计遗传学中。他们的共同指导将使我成为一名成功的独立调查员 具有强大的技能集-将统计遗传学应用于临床相关研究问题的能力，将 阐明与健康相关的行为与精神疾病风险之间的联系。

PROJECT SUMMARY Candidate: I am a clinical psychologist and Assistant Professor in the Department of Psychiatry at the University of Wisconsin (UW). Career Goals: My ultimate goal is to combine my clinical expertise with training in genetic epidemiology and statistical genetics, which will allow me to develop sophisticated risk prediction models for eating- and activity-related risk in psychiatry. Investigations that combine genetic information with detailed epidemiological data will improve understanding of etiology, enhance detection and diagnosis, and lead to novel interventions for psychiatric illness. Career Development: I request support for mentored training to build skills in four areas: (1) genetic and biological risk for health-related behaviors; (2) longitudinal data analysis; (3) genetic epidemiology and statistical genetics; and (4) professional development as a junior faculty member. Research Project: This study leverages existing data resources from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Psychiatric Genomics Consortium (PGC) along with GWAS summary statistics from several large epidemiological studies. The primary aim of this project will be to map genetic and developmental risk for driven exercise, a common and understudied feature of eating disorders. First, I will identify and characterize physical activity trajectories from late childhood through emerging adulthood in ALSPAC and capture associations between these trajectories and driven exercise and eating disorder risk. Second, I will examine the relationship between driven exercise and eating disorder psychopathology, both in ALSPAC and in the PGC. Finally, I will use genomic structural equation modeling to determine the extent to which driven exercise reflects genetic predispositions to theoretically-linked traits. These results will inform future my independent applications (R01s) that explore unique contributions of genes and environment to predict risk for dysregulated eating and activity patterns in psychiatric illness. Environment: The proposed training and research will occur at UW and includes collaborations with the international power of the PGC and top-notch researchers in the fields of genetic epidemiology, eating disorders, exercise psychology, and statistical genetics. Mentorship: The mentorship team will be led by Dr. Corinne Engelman, whose research focuses on genetic epidemiology of complex human traits. Dr. Cynthia Bulik, co-mentor, is an internationally recognized expert in eating disorder research and co-chair of the eating disorders workgroup of the PGC. Dr. Nadia Micali, co-mentor, has been the lead eating disorder resource on the ALSPAC cohort for the past 20 years. Dr. Dane Cook, collaborator, has expertise in the psychobiology of exercise. Dr. Qiongshi Lu, collaborator, has specialized knowledge in statistical genetics, including methods proposed in this application, and Dr. Cathryn Lewis, collaborator, is a world-renowned expert in statistical genetics. Their combined mentorship will position me to succeed as an independent investigator with a powerful skillset—the ability to apply statistical genetics to clinically-relevant research questions that will elucidate links between health-related behaviors and psychiatric risk.