Expanding Evidence of Genetic Contributions to Survivorship in CAD

摘要 这是一个重新提交的国家卫生研究院途径独立职业发展奖（#1 K99 NR 011054- 01）。该奖项的候选人是Jennifer R。Dungan博士，注册护士，杜克大学的高级研究员 大学护理学院和杜克老龄化中心/约翰A。哈特福德初级教员研究员。Drs. William E. 伊丽莎白·克劳斯豪瑟，斯瓦蒂·H. Shah，and Catherine L. Gilliss将在会议期间担任共同导师。 这个奖项的指导阶段。该提案的总体目标是让候选人建立一个研究 计划在冠状动脉疾病的生存遗传学，一个研究计划，结合她 对衰老心血管疾病和遗传学感兴趣。邓根博士已经建立了 两个现有数据库（杜克CATHeterization GeNetics）中冠状动脉疾病的生存率 [CATHGEN]和Frachial Heart研究），并进行了初步分析，以确定生存率和年龄 这些数据集中的偏差。为了有效地研究冠心病患者生存率的遗传学， 有必要首先了解生存率和年龄偏差对冠状动脉粥样硬化相关基因的影响， 动脉疾病及其影响的控制。她提出的指导研究旨在广泛描述 然后测试传统的和复杂的统计方法，以控制这些偏差， 冠状动脉疾病的相关基因独立阶段研究旨在确定其他 流行病学数据集，以进一步表征这种偏倚的范围，并测试统计方法， 指导阶段。这些目标的结果将为适当开展一项关于 冠状动脉疾病生存遗传学的前瞻性流行病学调查（最终 独立相位瞄准）。邓根博士的培训计划包括加强她的遗传背景 流行病学、统计遗传学和时间相关效应的统计处理。考虑到候选人的实力 遗传学背景和她在心血管衰老和基因组学研究项目方面的经验， 强大的流行病学和统计学知识基础将提高她今后在这方面的生产力和潜力， 竞争领域。这项研究的目标是，心脏病患者可以更好地进行筛查， 确定遗传风险和/或保护基因，可能导致预防心脏病相关 活动和促进健康生存。

Abstract This is a resubmission for a NIH Pathway to Independence Career Development Award (# 1K99 NR011054- 01). The candidate for this award is Jennifer R. Dungan, PhD, RN, a Senior Research Associate at the Duke University School of Nursing and Duke Center for Aging/John A. Hartford Junior Faculty Fellow. Drs. William E. Kraus, Elizabeth R. Hauser, Svati H. Shah, and Catherine L. Gilliss will serve as co-mentors during the mentored phase of this award. The overarching goal of this proposal is for the candidate to build a research program in the genetics of survivorship in coronary artery disease, a research program that combines her interests in aging, cardiovascular disease, and genetics. Dr. Dungan has established the phenotype for survivorship in coronary artery disease in two existing databases (the Duke CATHeterization GENetics [CATHGEN] and the Framingham Heart studies) and has performed pilot analysis to identify survival and age biases in these datasets. In order to effectively study the genetics of survivorship in coronary artery disease, it is necessary to first understand the impact of survival and age biases on gene associations with coronary artery disease and control for their effects. Her proposed mentored research seeks to extensively characterize these biases in both datasets, then test traditional and complex statistical methods to control for such biases in gene associations with coronary artery disease. The independent phase research seeks to identify other epidemiological datasets to further characterize the scope of such biases and test the statistical methods from the mentored phase. Results from these aims will inform the proper development of a pilot study of a prospective, epidemiological investigation of the genetics of survivorship in coronary artery disease (final independent phase aim). Dr. Dungan's training plan includes strengthening her background in genetic epidemiology, statistical genetics, and statistical handling of time-related effects. Given the candidate's strong background in genetics and her experience with research projects in cardiovascular aging and genomics, a strong epidemiological and statistical knowledge base will enhance her future productivity and potential in this competitive field. The goal is that from this research, heart disease patients may be better screened and identified for genetic risk and/or protective genes, potentially leading to prevention of heart-disease-related events and promotion of healthy survival.