BIOINFORMARTICS TO DISCOVER GENES IN PSYCHIATRIC ILLNESS

利用生物信息学发现精神疾病基因

• 批准号: 6857606
• 负责人: Peter P. Zandi
• 金额: $ 13.06万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-02-01 至 2010-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6857606
• 关键词: behavioral genetics; bioinformatics; bipolar depression; clinical research; family genetics; functional /structural genomics; gene expression; gene interaction; genetic susceptibility; human genetic material tag; human subject; linkage mapping; literature survey; proteomics

DESCRIPTION (provided by applicant): The K01 Award will prepare the candidate for a career as an independent investigator in psychiatric genetics with an expertise in using research strategies that bring together the methods of genetic epidemiology and bioinformatics. The proposal will build on the candidate's background in genetic epidemiology and provide him with the opportunity to develop skills in bioinformatics as well as learn molecular genetic methods. The training plan will focus on formal mentorship in a collaborative research environment and coursework. Co-Sponsor Dr. J. Raymond DePaulo, the director of the Affective Disorders Genetics Research Group and Chair of the Department of Psychiatry at Johns Hopkins, will advise the candidate on conducting genetic research in psychiatric disorders. Co-Sponsor Dr. Giovanni Parmigiani, Co-director of the program in Bioinformatics in the Department of Biostatistcs at Johns Hopkins, will advise the candidate on using statistical genetic and bioinformatic methods. A team of consultants with expertise in different aspects of genetics research will provide additional guidance. Dr. Jonathan Pevsner will assist with practical applications of bioinformatics, Dr. Dimitrios Avramopolous will assist with the use of molecular genetic techniques, and Dr. Aravinda Chakravarti will consult on leading multi-disciplinary research of complex genetic disorders. During the first two years of the project, the candidate will take courses to fulfill the requirements of a Master's of Health Science in Bioinformatics and a two- week hands-on course on molecular genetic laboratory techniques. The training program will be enhanced by a research plan that aims to use novel methods of statistical genetics and bioinformatics to identify candidate genes in a promising region of linkage on chromosome 8q24 and to test these genes for association with Bipolar Disorder. The research plan will take advantage of family samples that have been collected under the direction of Dr. DePaulo and build on previous studies of these families by the candidate. The training and research plans of this proposal will provide the groundwork for the candidate to achieve his long-term goal of helping to elucidate the genetic contribution to complex psychiatric disorders.

描述（由申请人提供）：K01奖将准备候选人的职业生涯作为一个独立的研究人员在精神病遗传学的专业知识，使用研究策略，汇集遗传流行病学和生物信息学的方法。该提案将建立在候选人在遗传流行病学的背景，并为他提供发展生物信息学技能以及学习分子遗传学方法的机会。培训计划将侧重于合作研究环境和课程中的正式指导。共同赞助人J. Raymond DePaulo博士是约翰霍普金斯大学情感障碍遗传学研究小组主任和精神病学系主任，他将为候选人提供关于精神疾病遗传研究的建议。共同赞助人乔瓦尼·帕米贾尼博士是约翰霍普金斯大学生物统计学系生物信息学项目的共同主任，他将为候选人提供使用统计遗传学和生物信息学方法的建议。一个在遗传学研究的不同方面具有专业知识的顾问团队将提供额外的指导。Jonathan Pevsner博士将协助生物信息学的实际应用，Dimitrios Avramopolous博士将协助分子遗传技术的使用，Aravinda Chakravarti博士将就复杂遗传疾病的领先多学科研究提供咨询。在项目的前两年，候选人将参加课程，以满足生物信息学健康科学硕士的要求，并在分子遗传实验室技术上进行为期两周的实践课程。培训计划将通过一项研究计划得到加强，该计划旨在使用统计遗传学和生物信息学的新方法来识别染色体8q24上有希望的连锁区域中的候选基因，并测试这些基因与双相情感障碍的关联。研究计划将利用在DePaulo博士指导下收集的家庭样本，并建立在候选人以前对这些家庭的研究基础上。该提案的培训和研究计划将为候选人实现帮助阐明复杂精神疾病的遗传贡献的长期目标提供基础。