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 该提案的具体目的是在高级基因映射中进行年度全周课程 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，但需要更精通分析 复杂的特征。该课程将在韦尔奇的大厅举行，该课程配备了 运行Linux的笔记本电脑。每门课程都将接受三十名学生。 五名参与者是博士后学生或博士后研究员，以支付费用 机票，酒店和董事会。 该课程由两个组成部分组成：关于基因映射的重要，当前主题的讲座 随着最新的免费软件软件程序将进行练习。当前的重点 该课程是对从下一代序列数据获得的稀有变体的关联分析。为了 2016年1月25日至29日举行的下一个高级基因映射课程将包括：整体分析 基因组协会研究；使用下一代序列数据分析稀有变体；分析 定性和定量性状（人口和基于家庭的数据）；混合线性模型； eqtl映射； 使用RNASEQ和数组数据的预测模型；遗传力估计和预测的推论； 变体位点的功能预测，变体注释；变体电话，控制人口 子结构/混合物（主要组件分析/多维性缩放）；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 评估常见和稀有变体的能力。课程将在当然被教授和使用 参与者包括：Annovar，Beam3，Cadd，Gerp，GotCloud，Gen​​abel，Plink，Polyphen-2，R，R，R， SEQPOWER，变体关联工具（VAT）等。由于基因映射是一个快速变化的字段， 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序列数据非常重要 数据分析的信息和工具，以阐明复杂性状的病因。