DISCOVERING GENES FOR MENTAL HEALTH

发现心理健康基因

• 批准号: 6735612
• 负责人: Daniel E Weeks
• 金额: $ 5.36万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6735612
• 关键词: DISCOVERING; GENES; MENTAL; HEALTH

Recent years have seen dramatic progress in the field of human genetics, leading to high-resolution maps of genetic markers spanning the genome, more efficient methods for generating marker data, and novel approaches to mapping disease genes. As it has become more feasible to search for disease-susceptibility loci on a genome-wide basis, there has been a dramatic increase in genetic studies of psychiatric traits and other complex traits. However, while there has been an increase in the demand for individuals trained in the multidisciplinary field of statistical genetics, there has been little or no increase in the supply of such individuals. With only a handful of statistical geneticists trained each year, little relief is in sight. Our training program will address the strong need for statistical geneticists. The goal of our training program is to train multidisciplinary statistical geneticists at the interface of human genetics, statistics, and psychiatry in order to develop improved methods for mapping and discovering loci involved in psychiatric and other genetically complex traits. Our goals are: 1) To educate quantitatively-oriented trainees in the paradigms and methodology of modern human genetics; 2) to educate biologically-oriented trainees in the paradigms and methodology of statistics and statistical genetics; 3) to provide training in the particular issues involved in psychiatric and behavioral genetics, including issues of study design, phenotyping, ethics, and data analysis; 4) to provide training in scientific integrity and ethical principles in research. Our premise is that our training program will only be successful if our graduates have extensive training in human genetics, statistics, and psychiatry, and in the interface of these areas. The successful graduate will be able to fluently speak the language of human genetics and psychiatry as well as to have an arsenal of tools to analyze challenging data, and to be able to identify and solve important and outstanding research problems.

近年来，在人类遗传学领域取得了巨大的进步，从而导致跨基因组的遗传标志物的高分辨率图，生成标记数据的更有效的方法以及绘制疾病基因的新方法。由于在全基因组的基础上搜索疾病敏感性基因座变得更加可行，因此精神病性状和其他复杂性状的遗传研究急剧增加。但是，尽管在统计遗传学的多学科领域接受培训的个人的需求增加了，但此类人的供应几乎没有增加或没有增加。每年只有少数几个统计遗传学家训练，几乎没有浮雕。我们的培训计划将满足对统计遗传学家的强烈需求。我们的培训计划的目的是在人类遗传学，统计学和精神病学的界面上培训多学科统计遗传学家，以开发改进的方法来映射和发现参与精神病和其他遗传复杂性状的基因座。我们的目标是：1）在现代人类遗传学的范式和方法论中教育定量导向的实习生； 2）在统计和统计遗传学的范式和方法中教育以生物学为导向的学员； 3）提供有关精神病和行为遗传学涉及的特定问题的培训，包括研究设计，表型，伦理和数据分析问题； 4）提供有关研究的科学完整性和道德原则的培训。我们的前提是，只有在我们的毕业生在人类遗传学，统计学和精神病学方面以及这些领域的界面中接受广泛的培训，我们的培训计划才能成功。成功的毕业生将能够流利地说到人类遗传学和精神病学的语言，并拥有一系列工具来分析具有挑战性的数据，并能够识别和解决重要而杰出的研究问题。

项目成果

Otitis media: a genome-wide linkage scan with evidence of susceptibility loci within the 17q12 and 10q22.3 regions.

• DOI: 10.1186/1471-2350-10-85
• 发表时间: 2009-09-03
• 期刊: BMC medical genetics
• 作者: Casselbrant ML;Mandel EM;Jung J;Ferrell RE;Tekely K;Szatkiewicz JP;Ray A;Weeks DE
• 通讯作者: Weeks DE

Which missing value imputation method to use in expression profiles: a comparative study and two selection schemes.

• DOI: 10.1186/1471-2105-9-12
• 发表时间: 2008-01-10
• 期刊: BMC bioinformatics
• 影响因子: 3
• 作者: Brock GN;Shaffer JR;Blakesley RE;Lotz MJ;Tseng GC
• 通讯作者: Tseng GC