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

项目摘要 应聘者：我是一名临床心理学家，也是大学精神病学系的助理教授 威斯康星州（UW）。职业目标：我的最终目标是联合收割机将我的临床专业知识与遗传学培训相结合， 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， 饮食和活动相关的精神病学风险。将联合收割机的遗传信息与 流行病学数据将提高对病因的理解，加强检测和诊断，并导致新的 精神疾病的干预措施。职业发展：我请求支持辅导培训，以培养技能 在四个方面：（1）与健康相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;（4）作为初级教员的专业发展。研究 项目：这项研究利用了雅芳父母和孩子纵向研究的现有数据资源 （ALSPAC）和精神病基因组学联盟（PGC）沿着GWAS汇总统计数据， 大型流行病学研究。该项目的主要目的是绘制遗传和发育风险， 强迫性运动，这是饮食失调的一个常见且未被充分研究的特征。首先，我将确定和描述 ALSPAC和捕获中从儿童晚期到成年初的身体活动轨迹 这些轨迹与运动和饮食失调风险之间的关联。第二，我将研究 在ALSPAC和PGC中，驱动运动和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性运动在多大程度上反映了 遗传倾向理论上的连锁特征。这些结果将告知我未来的独立应用程序 （R 01）探索基因和环境的独特贡献，以预测饮食失调的风险， 精神疾病的活动模式。环境：拟议的培训和研究将在华盛顿大学进行， 包括与PGC的国际力量和遗传学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：导师团队 将由Corinne Engelman博士领导，他的研究重点是复杂人类特征的遗传流行病学。 博士Cynthia Bulik，共同导师，是国际公认的饮食失调研究专家， PGC的饮食失调症纳迪亚·米卡利博士，她的共同导师， 在过去的20年里，ALSPAC队列的资源。Dane Cook博士，合作者，在 运动的心理生物学合作者陆琼诗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，合作者Cathryn刘易斯博士是世界知名的专家， 统计遗传学他们的联合指导将使我成为一名成功的独立调查员 具有强大的技能-将统计遗传学应用于临床相关研究问题的能力， 阐明健康相关行为与精神病风险之间的联系。

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.