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

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.

项目总结