GENETIC MODELING OF PSYCHOPATHOLOGY

描述（改编自申请人的摘要）：这是一个请求， 职业发展奖。 本申请的目的是确保 申请人有足够的时间进行研究，这是持续发展所必需的 作为统计遗传学的独立研究者， 精神病学应用，以及提供额外的临床 训练 候选人是统计应用方面的专家 精神病学研究的方法。 从1990年到1995年，她一直受到 NIMH职业发展奖。 在此期间，她获得了一个 在人类和精神病学遗传学的广泛背景和发展她的技能 在她自己的专业领域，她已经做了几个基本的 对精神病学研究中统计方法领域的贡献。 她最近被招募加入了学院的教师， 医学在爱荷华州的大学有一个杰出的研究计划 并致力于遗传学研究 发现精神疾病的遗传机制， 促进诊断和预防，帮助发展更多 有效的干预措施，并扩大对 先天和后天的精神病理学。 巨大的技术进步 近年来，已经对复杂的遗传模型进行了复杂的建模， 原则上可行的疾病。 然而，理论上可用的是 在实践中并不总是可行的。 困难的根本来源 涉及适当的抽样程序（确定家庭）， 数据分析中抽样的正确数学处理。 未解决 抽样问题可以使规划和执行遗传研究的一个 复杂的疾病非常困难。 拟议的研究将解决 复杂遗传分析的主要取样问题， 数学方法和模拟研究。 候选人坚持认为， 正在与临床医生就遗传学研究建立合作关系， 恐慌症自闭症和强迫症 所有理论 工作将受到这些数据的指导并应用于数据分析 问题研究

DESCRIPTION (Adapted from applicant's abstract): This is a request for a Career Development Award. The purpose of this application is to ensure the applicant adequate time for research, necessary to the continued development of her career as an independent investigator in statistical genetics with psychiatric applications, as well as to provide additional clinical training. The candidate is an expert in the application of statistical methods in psychiatric research. From 1990-1995 she has been supported by a prior NIMH Career Development Award. During the time she has acquired a broad background in human and psychiatric genetics and developed her skills in her own area of expertise, and she has already made several fundamental contributions to the field of statistical methods in psychiatric research. She has recently been recruited to join the faculty of The College of Medicine at the University of Iowa which has an outstanding research program in psychiatry and a strong commitment to genetics research. The discovery of genetic mechanisms underlying psychiatric disorders can facilitate diagnosis and prevention, aid in the development of more effective interventions, and broaden understanding of the contributions of both nature and nurture to psychopathology. Enormous technologic advances in recent years have made sophisticated modeling of complex genetic disorders feasible in principle. However, what is available in theory is not always feasible in practice. A fundamental source of difficulty involves proper procedures for sampling (ascertainment of families) and proper mathematical treatment of sampling in data analysis. Unresolved sampling problems can make planning and executing a genetic study of a complex disorder extremely difficult. The proposed research will address major sampling issues for complex genetic analysis using both analytic mathematical approaches and simulation studies. The candidate maintains ongoing established collaborations with clinicians on genetic studies of panic disorder, autism, and obsessive-compulsive disorder. All theoretical work will be both guided by and applied to the analysis of data from these studies.