Genome-wide Association and linkage Studies with Diverse Resources
多种资源的全基因组关联和关联研究
基本信息
- 批准号:7152311
- 负责人:
- 金额:$ 9.3万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-07-01 至 2011-06-30
- 项目状态:已结题
- 来源:
- 关键词:biomarkercancer riskchronic disease /disorderdata collection methodology /evaluationdisease /disorder proneness /riskepidemiologyfamily geneticsgenetic susceptibilityhuman datahuman population studylinkage disequilibriumsmethod developmentsample collectionsingle nucleotide polymorphismstatistics /biometry
项目摘要
Genome-wide association and linkage studies involving hundreds or thousands of Single Nucleotide
Polymorphisms (SNPs) are becoming increasingly common due to the rapid development of
biotechnologies. Among many statistical challenges arising from these studies, the typical limited sample
size is of particular concern because of high genotyping cost putting pressure to limit the number of
individuals genotyped; increased statistical significant level for fear of too many false positives due to
multiple comparisons; and moderate risk from each disease-associated variant allele in complex diseases.
This application considers two strategies to address this issue: (1) to increase sample size by pooling data
obtained from several sources; (2) to devise better statistical and computational tools for more efficient
usage of the data. Correspondly, the first aim is to develop estimation and inference procedures for genetic
association using data obtained from both population-based case-control and family-based studies,
accommodating diverse ascertainment schemes of cases and controls, whereas the second aim is to
develop analysis and regularization methods that enhance the possibility that the disease-associated
variants and their interactions can actually be identified. The second aim is also concerned with the
construction of risk predictive models from these SNPs.
The highly dense SNP markers also pose problems to a more traditional model-based linkage analysis for
gene discovery, because the methods for this analysis were developed assuming markers in linkage
equilibrium, an assumption that is likely violated with the density of the SNPs. The third aim is to develop
and evaluate estimating procedures for multipoint linkage analysis in the presence of linkage disequilibrium
among SNP markers.
涉及数百或数千个单核苷酸的全基因组关联和连锁研究
多态性(SNP)由于基因组学的快速发展而变得越来越普遍。
生物技术在这些研究产生的许多统计挑战中,典型的有限样本
由于高基因分型成本对限制基因型的数量施加了压力,
个体基因分型;增加统计学显著性水平,因为担心太多假阳性,
多重比较;以及复杂疾病中每个疾病相关变异等位基因的中度风险。
本申请考虑两种策略来解决这个问题:(1)通过合并数据来增加样本量
从几个来源获得;(2)设计更好的统计和计算工具,
数据的使用。相应地,第一个目标是开发遗传的估计和推理程序,
使用从基于人群的病例对照和基于家庭的研究中获得的数据,
适应病例和对照的不同确定方案,而第二个目标是
开发分析和规范化方法,提高疾病相关的可能性,
变体和它们的相互作用实际上可以被识别。第二个目标也与
从这些SNP构建风险预测模型。
高密度SNP标记也给更传统的基于模型的连锁分析带来了问题,
基因发现,因为这种分析的方法是在假设标记连锁的情况下开发的
平衡,这是一个可能违反SNP密度的假设。第三个目标是发展
并评估在连锁不平衡的存在下多点连锁分析的估计程序
在SNP标记中。
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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Li Hsu其他文献
Li Hsu的其他文献
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{{ truncateString('Li Hsu', 18)}}的其他基金
Statistical Methods for Inferring Gene-Phenotype Associations Using Omic Data from Gene Knockout and Human Phenotype Studies
使用基因敲除和人类表型研究的组学数据推断基因表型关联的统计方法
- 批准号:
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Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans
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- 批准号:
10372063 - 财政年份:2022
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$ 9.3万 - 项目类别:
Integrative Genomics into Genetic Association Studies of Blood Pressure and Stroke in African Americans
将基因组学整合到非裔美国人血压和中风的遗传关联研究中
- 批准号:
10656163 - 财政年份:2022
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Statistical Methods for Analysis of Tumor Heterogeneity in Genetic Epidemiology
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- 批准号:
9817026 - 财政年份:2015
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$ 9.3万 - 项目类别:
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic Epidemiology
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10432024 - 财政年份:2015
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Methods for Integrating Functional Data into Complex Disease Genetic Analyses
将功能数据整合到复杂疾病遗传分析中的方法
- 批准号:
9087202 - 财政年份:2015
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Methods for Integrating Functional Data into Complex Disease Genetic Analyses
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- 批准号:
9308935 - 财政年份:2015
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$ 9.3万 - 项目类别:
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic Epidemiology
遗传流行病学中肿瘤异质性分析的统计方法
- 批准号:
10602853 - 财政年份:2015
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$ 9.3万 - 项目类别:
Statistical Methods for Genetic Epidemiology Studies
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9027514 - 财政年份:2015
- 资助金额:
$ 9.3万 - 项目类别:
Statistical Methods for Analysis of Tumor Heterogeneity in Genetic Epidemiology
遗传流行病学中肿瘤异质性分析的统计方法
- 批准号:
10186707 - 财政年份:2015
- 资助金额:
$ 9.3万 - 项目类别:
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