Advanced Gene Mapping Course

高级基因作图课程

• 批准号: 9208387
• 负责人: SUZANNE M LEAL
• 金额: $ 5.4万
• 依托单位: ROCKEFELLER UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-03 至 2020-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9208387
• 关键词: Admixture; Basic Science; Bioinformatics; Categories; Chromosome Mapping; Clinical; Communities; Complex; Computer software; Computers; Data; Data Analyses; Data Files; Data Quality; Data Set; Databases; Detection; Development; Disease; Etiology; Evaluation; Exercise; Faculty; Family; Generations; Genes; Genetic; Genetic Epistasis; Genetic Predisposition to Disease; Genotype; Genus Mentha; Heritability; Human Gene Mapping; Individual; Knowledge; Libraries; Linear Models; Linux; Logistic Regressions; Memory; Meta-Analysis; Methodology; Methods; Modeling; New York; New York City; Online Systems; Participant; Population; Population Control; Postdoctoral Fellow; Principal Component Analysis; Quality Control; Research Personnel; Running; S-nitro-N-acetylpenicillamine; Sample Size; Sequence Analysis; Site; Students; System; Techniques; Training; Travel; Universities; Update; Variant; base; cost; experience; file format; genetic epidemiology; genetic linkage analysis; genome wide association study; genome-wide analysis; human disease; insight; instructor; laptop; learning materials; lectures; next generation; population based; power analysis; pre-doctoral; programs; rare variant; statistics; theories; tool; trait; transcriptome; transcriptome sequencing; web site

Project Summary The specific aim of this proposal is to carry out an annual, full-week course in advanced gene mapping at The Rockefeller University in New York. The course is directed towards advanced researchers who are familiar with the basic aspects of statistical genetics but who need to become more proficient in the analysis of complex traits. The course will be held in the Great Hall in Welch which is equipped for the course with laptops running Linux. Thirty students will be accepted for each course.. Travel stipends will be provided to five of the participants who are either pre-doctoral students or post-doctoral fellows to cover the cost of airfare, hotel and board. The course consists of two components: lectures on important, current topics in gene mapping, as well as hands on exercises to be carried out with the latest freeware software programs. The current emphasis of the course is association analysis of rare variants obtained from next generation sequence data. For the next Advanced Gene Mapping course held January 25-29, 2016 the topics will include: analysis of whole genome association studies; analysis of rare variants using next generation sequence data; analysis of qualitative and quantitative traits (population and family-based data); mixed linear models; eQTL mapping; prediction models using RNAseq and array data; inferences for heritability estimation and prediction; functional predication of variant sites, variant annotation; variant calling, controlling for population substructure/admixture (principal components analysis/multidimensionality scaling); data quality control of genotype and sequence data; meta-analysis; gene x gene interaction; sample size estimation and evaluating power for common and rare variants. Programs that will be taught and utilized by course participants include: ANNOVAR, BEAM3, CADD, GERP, GotCloud, GenAbel, PLINK, Polyphen-2, R, SEQPower, Variant Association Tools (VAT), etc. Since gene mapping is a quickly changing field, the topics and analytic programs will be updated and changed annually to reflect the latest developments in the field of statistical genetics. Given the large increases in the amount of genetic data being generated, and in particular sequence data, it is extremely important to train researchers and give them the necessary information and tools for data analysis to elucidate the etiology of complex traits.

项目摘要 这项建议的具体目标是开展为期一周的年度高级基因图谱绘制课程。 在纽约的洛克菲勒大学。本课程面向的是高级研究人员，他们 熟悉统计遗传学的基本方面，但需要更熟练地进行分析 具有复杂的特征。课程将在韦尔奇的大会堂举行，那里为课程配备了 运行Linux的笔记本电脑。每门课将招收30名学生。将向以下人员提供旅行津贴 其中五名参与者是博士后或博士后研究员，以支付 机票、住宿和食宿。 这门课程由两部分组成：关于基因图谱的当前重要主题的讲座。 作为使用最新免费软件程序进行的动手练习。当前的重点是 当然，这一过程是对从下一代序列数据中获得的稀有变体的关联分析。对于 下一期高级基因图谱课程将于2016年1月25日至29日举行，主题将包括：整体分析 基因组关联研究.使用下一代序列数据的稀有变异的分析.分析 质量和数量性状(群体和家系数据)；混合线性模型；eQTL定位； 使用RNAseq和阵列数据的预测模型；遗传力估计和预测的推断； 变异部位的功能预测，变异注释；变异调用，控制种群 子结构/混合体(主成分分析/多维尺度)；数据质量控制 基因和序列数据；荟萃分析；基因x基因交互作用；样本量估计和 评估常见和罕见变种的威力。课程将教授和使用的课程 参与者包括：ANNOVAR、BEAM3、CADD、GERP、GotCloud、GenAbel、Plink、Polyphen-2、R、 SEQPower、变量关联工具(VAT)等。由于基因图谱是一个快速变化的领域， 主题和分析程序将每年更新和更改，以反映 统计遗传学领域。鉴于产生的遗传数据量的大幅增加，以及在 对于特定的序列数据，培训研究人员并给予他们必要的知识是极其重要的 用于数据分析的信息和工具，以阐明复杂性状的病因。