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.

项目概要 该提案的具体目标是每年举办为期一周的高级基因图谱课程 在纽约洛克菲勒大学。该课程针对的是高级研究人员 熟悉统计遗传学的基本方面，但需要更加精通分析 的复杂特征。该课程将在韦尔奇的大厅举行，该大厅配备了课程所需的设备 运行 Linux 的笔记本电脑。每门课程将招收三十名学生。将为 五名参与者是博士前学生或博士后研究员，以支付费用 机票、酒店和膳食。 该课程由两部分组成：关于基因图谱中重要的当前主题的讲座，以及 作为使用最新的免费软件程序进行的实践练习。当前的重点 该课程的核心内容是对从下一代序列数据获得的罕见变异进行关联分析。对于 下一期高级基因图谱课程于 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分析罕见变异；分析 定性和定量特征（人口和家庭数据）；混合线性模型； eQTL 作图； 使用 RNAseq 和阵列数据的预测模型；遗传力估计和预测的推论； 变异位点的功能预测、变异注释；变异调用，控制群体 子结构/混合（主成分分析/多维尺度）；数据质量控制 基因型和序列数据；荟萃分析；基因x基因相互作用；样本量估计和 评估常见和罕见变体的功效。将按课程教授和使用的程序 参与者包括：ANNOVAR、BEAM3、CADD、GERP、GotCloud、GenAbel、PLINK、Polyphen-2、R、 SEQPower、变异关联工具（VAT）等。由于基因作图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，以反映该领域的最新发展 统计遗传学领域。鉴于生成的遗传数据量大幅增加，并且 特定的序列数据，培训研究人员并为他们提供必要的信息非常重要 用于数据分析的信息和工具，以阐明复杂性状的病因。