Statistical and computational analysis in whole genome sequencing studies.
全基因组测序研究中的统计和计算分析。
基本信息
- 批准号:8930750
- 负责人:
- 金额:$ 29.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-22 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:Abdominal Aortic AneurysmAddressAreaCase-Control StudiesCohort AnalysisComputer AnalysisComputing MethodologiesDataData AnalysesData CompressionGenomeGenomicsGoalsHealthIndividualLocationMachine LearningMedical RecordsMedicineMethodsNaturePopulationReadingResearchStatistical MethodsStatistical ModelsTestingVariantbasecase controlcomputerized data processingcostdata managementdesignfrontiergenome sequencingimprovedmeetingspopulation basedprograms
项目摘要
DESCRIPTION (provided by applicant): This project will investigate several issues arising from the statistical and computational analysis of whole genome sequencing (WGS) based genomics studies. In the area of data management in WGS studies, we address the rapidly increasing cost associated with the transfer and storage of the massive files for the sequence reads and their associated quality scores. We will develop data compression methods to achieve a further compression of several folds beyond current standards, with minimal incurred errors. In the area of secondary analysis, we will develop new statistical learning methods to improve variant quality score recalibration and to filter out unreliable calls. This will improve te reliability of the key information provided by the WGS data, which are the variants calls indicating the locations where the genome differs from the reference and the nature of the differences. We will study methods for case-control studies based on WGS. In particular, we will develop statistical models to enable the integrating of information from multiple types of variants
to obtain more powerful tests of association. We will apply the methods developed in this aim to the analysis of WGS data from a study on abdominal aortic aneurysm. Finally, we will address selected new questions associated with population scale WGS projects. Several national programs have recently been initiated to generate WGS data for hundreds of thousands of individuals with longitudinal medical records. The availability of this comprehensive data on a population scale will open up a rich frontier for genome medicine and will pose many new challenges for statistical analysis. We will formulate some of these new challenges and develop the statistical methods needed to meet these challenges.
描述(由申请人提供):该项目将调查基于全基因组测序(WGS)的基因组学研究的统计和计算分析中出现的几个问题。在WGS研究中的数据管理领域,我们解决了与序列读取及其相关质量评分的大量文件的传输和存储相关的快速增加的成本。我们将开发数据压缩方法,以实现比当前标准进一步压缩几倍,并将产生的错误降至最低。在二次分析领域,我们将开发新的统计学习方法,以改善变异质量分数的重新校准,并过滤掉不可靠的调用。这将提高由WGS数据提供的关键信息的可靠性,所述关键信息是指示基因组与参考不同的位置和差异的性质的变体调用。我们将研究基于WGS的病例对照研究方法。特别是,我们将开发统计模型,以整合来自多种类型变体的信息
以获得更强大的联想测试。我们将应用开发的方法,在这一目标的分析WGS数据从腹主动脉瘤的研究。最后,我们将讨论与人口规模WGS项目相关的选定新问题。最近已经启动了几个国家计划,为数十万具有纵向医疗记录的个人生成WGS数据。在人口规模上获得这种全面的数据将为基因组医学开辟一个丰富的前沿,并将对统计分析提出许多新的挑战。我们将阐述其中一些新的挑战,并开发应对这些挑战所需的统计方法。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Wing H. WONG其他文献
Wing H. WONG的其他文献
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{{ truncateString('Wing H. WONG', 18)}}的其他基金
Statistical methods for gene regulatory analysis and single cell genomics
基因调控分析和单细胞基因组学的统计方法
- 批准号:
10001015 - 财政年份:2019
- 资助金额:
$ 29.25万 - 项目类别:
Statistical methods for gene regulatory analysis and single cell genomics
基因调控分析和单细胞基因组学的统计方法
- 批准号:
10439652 - 财政年份:2019
- 资助金额:
$ 29.25万 - 项目类别:
Statistical methods for gene regulatory analysis and single cell genomics
基因调控分析和单细胞基因组学的统计方法
- 批准号:
10218236 - 财政年份:2019
- 资助金额:
$ 29.25万 - 项目类别:
Modeling Tyrosine Kinase Inhibitor-Induced Vascular Dysfunction Using Human iPSCs
使用人 iPSC 模拟酪氨酸激酶抑制剂诱导的血管功能障碍
- 批准号:
10646316 - 财政年份:2018
- 资助金额:
$ 29.25万 - 项目类别:
Statistical and computational analysis in whole genome sequencing studies.
全基因组测序研究中的统计和计算分析。
- 批准号:
8750827 - 财政年份:2014
- 资助金额:
$ 29.25万 - 项目类别:
Multivariate statistical methods, flow cytometry, and network modeling.
多元统计方法、流式细胞术和网络建模。
- 批准号:
8891463 - 财政年份:2014
- 资助金额:
$ 29.25万 - 项目类别:
Multivariate statistical methods, flow cytometry, and network modeling.
多元统计方法、流式细胞术和网络建模。
- 批准号:
9056597 - 财政年份:2014
- 资助金额:
$ 29.25万 - 项目类别:
Multivariate statistical methods, flow cytometry, and network modeling.
多元统计方法、流式细胞术和网络建模。
- 批准号:
8664732 - 财政年份:2014
- 资助金额:
$ 29.25万 - 项目类别:
An approach to gene regulatory network inference.
基因调控网络推断的方法。
- 批准号:
8320163 - 财政年份:2011
- 资助金额:
$ 29.25万 - 项目类别:
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