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

驱动运动和饮食失调的风险：遗传和纵向流行病学联合调查

• 批准号: 10039140
• 负责人: Katherine Schaumberg
• 金额: $ 18.57万
• 依托单位: UNIVERSITY OF WISCONSIN-MADISON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10039140
• 关键词: Accelerometer; Adolescence; Age of Onset; Agitation; Alcohol or Other Drugs use; Anhedonia; Anorexia Nervosa; Anxiety; Area; Award; Behavior; Biological; Birth; Body Weight; Body fat; Body mass index; Bulimia; Child; Childhood; Clinical; Collaborations; Complex; Data; Data Analyses; Dependence; Detection; Development; Diagnosis; Diet; Disease; Early identification; Eating; Eating Disorders; Environment; Epidemiology; Equation; Etiology; Exercise; Faculty; Future; General Population; Genes; Genetic; Genetic Predisposition to Disease; Genetic Risk; Genomics; Goals; Health; Heritability; Human; Hyperactive behavior; Individual; Individual Differences; International; Intervention; Investigation; Knowledge; Lead; Link; Longitudinal Studies; Maintenance; Maps; Measures; Mental Health; Mental disorders; Mentors; Mentorship; Methods; Modeling; National Institute of Mental Health; Obsessive compulsive behavior; Obsessive-Compulsive Disorder; Onset of illness; Outcome; Parents; Pathology; Pathway interactions; Pattern; Phenotype; Physical activity; Positioning Attribute; Predictive Factor; Psychiatry; Psychologist; Psychology; Psychopathology; Quality of life; Recovery; Regulation; Research; Research Domain Criteria; Research Personnel; Research Project Grants; Research Support; Resources; Rewards; Risk; Risk Factors; Sampling; Science; Shapes; Symptoms; System; Testing; Thinness; Training; Translational Research; Treatment outcome; Universities; Weight maintenance regimen; Wisconsin; Youth; biobehavior; body dissatisfaction; career; career development; clinically relevant; cohort; cooking; data resource; disorder risk; early adolescence; emerging adulthood; epidemiologic data; epidemiology study; genetic architecture; genetic epidemiology; genetic information; genome wide association study; improved; member; notch protein; novel; outcome forecast; professor; prospective; psychiatric genomics; psychobiology; restraint; risk prediction model; skills; statistics; structural genomics; suicidal behavior; suicidal risk; symptomatology; therapy development; trait; Accelerometer; Adolescence; Age of Onset; Agitation; Alcohol or Other Drugs use; Anhedonia; Anorexia Nervosa; Anxiety; Area; Award; Behavior; Biological; Birth; Body Weight; Body fat; Body mass index; Bulimia; Child; Childhood; Clinical; Collaborations; Complex; Data; Data Analyses; Dependence; Detection; Development; Diagnosis; Diet; Disease; Early identification; Eating; Eating Disorders; Environment; Epidemiology; Equation; Etiology; Exercise; Faculty; Future; General Population; Genes; Genetic; Genetic Predisposition to Disease; Genetic Risk; Genomics; Goals; Health; Heritability; Human; Hyperactive behavior; Individual; Individual Differences; International; Intervention; Investigation; Knowledge; Lead; Link; Longitudinal Studies; Maintenance; Maps; Measures; Mental Health; Mental disorders; Mentors; Mentorship; Methods; Modeling; National Institute of Mental Health; Obsessive compulsive behavior; Obsessive-Compulsive Disorder; Onset of illness; Outcome; Parents; Pathology; Pathway interactions; Pattern; Phenotype; Physical activity; Positioning Attribute; Predictive Factor; Psychiatry; Psychologist; Psychology; Psychopathology; Quality of life; Recovery; Regulation; Research; Research Domain Criteria; Research Personnel; Research Project Grants; Research Support; Resources; Rewards; Risk; Risk Factors; Sampling; Science; Shapes; Symptoms; System; Testing; Thinness; Training; Translational Research; Treatment outcome; Universities; Weight maintenance regimen; Wisconsin; Youth; biobehavior; body dissatisfaction; career; career development; clinically relevant; cohort; cooking; data resource; disorder risk; early adolescence; emerging adulthood; epidemiologic data; epidemiology study; genetic architecture; genetic epidemiology; genetic information; genome wide association study; improved; member; notch protein; novel; outcome forecast; professor; prospective; psychiatric genomics; psychobiology; restraint; risk prediction model; skills; statistics; structural genomics; suicidal behavior; suicidal risk; symptomatology; therapy development; trait

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.

项目摘要 候选人：我是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通用培训相结合 流行病学和统计遗传学，这将使我能够为 精神病学中与饮食和活动有关的风险。将遗传信息与详细信息结合的调查 流行病学数据将改善对病因的理解，增强检测和诊断，并导致新颖 精神病的干预措施。职业发展：我要求支持修补培训以建立技能 在四个领域：（1）与健康相关行为的遗传和生物学风险； （2）纵向数据分析； （3）遗传 流行病学和统计遗传学； （4）初级教师的专业发展。研究 项目：本研究利用父母和孩子的雅芳纵向研究利用现有的数据资源 （ALSPAC）和精神病基因组学联盟（PGC）以及GWAS的汇总统计数据 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 驱动的运动，这是饮食失调的常见和可理解的特征。首先，我将识别并表征 体育锻炼轨迹从儿童晚期到ALSPAC的新兴成年并捕获 这些轨迹与运动和饮食失调风险之间的关联。第二，我将检查 在ALSPAC和PGC中，驱动运动与饮食失调心理病理学之间的关系。 最后，我将使用基因组结构方程建模来确定驱动运动反映的程度 遗传易感性易于理论相关特征。这些结果将告知未来我的独立申请 （R01）探索基因和环境的独特贡献，以预测饮食失调的风险和 精神病的活动模式。环境：拟议的培训和研究将在UW和 包括与PGC的国际力量和一流的研究人员的合作 流行病学，饮食失调，运动心理学和统计遗传学。指导：Mentalship团队 Corinne Engelman博士将领导，他的研究重点是复杂人类特征的遗传流行病学。 联合学的辛西娅·布里克（Cynthia Bulik）博士是国际公认的饮食失调研究专家 PGC的饮食失调工作组。联合官员Nadia Micali博士一直是铅饮食障碍 在过去20年中，ALSPAC队列的资源。合作者Dane Cook博士在 运动的心理生物学。合作者Qiongshi Lu博士拥有统计遗传学专业知识， 包括本应用程序中提出的方法，以及合作者Cathryn Lewis博士是世界知名的专家 在统计遗传学中。他们的联合心态将使我成为独立调查员的成功 具有强大的技能 - 将统计遗传学应用于与临床相关的研究问题的能力 阐明与健康相关行为与精神病风险之间的联系。