Genome-wide Association in Families: Data Integrity, Design and Methods Issue
家庭全基因组关联:数据完整性、设计和方法问题
基本信息
- 批准号:7104529
- 负责人:
- 金额:$ 30.59万
- 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:2006-06-15 至 2009-05-31
- 项目状态:已结题
- 来源:
- 关键词:Mennoniteautomated data processingcardiovascular disorder riskclinical researchcooperative studydata quality /integrityfamily geneticsgene mutationgenotypehigh throughput technologyhuman subjectlinkage mappingmathematical modelmodel design /developmentpatient oriented researchsingle nucleotide polymorphism
项目摘要
DESCRIPTION (provided by applicant): Extensive genome-wide single nucleotide polymorphisms (SNPs) are now available. Theoretically, we can systematically consider all the regions of the genome to identify those regions associated with disease susceptibility or unfavorable risk factors. Important issues need to be resolved however, before we can practically use all the genetic information in genome-wide association studies. Methods need to be developed to detect and resolve genotyping errors and we need new, analytical strategies designed specifically for family data that will account for multiple comparisons.
Many large family-based studies, including our own, were initiated with the goal of first detecting linkage to identify chromosomal regions likely to harbor mutations having relatively large effects on important risk factors for heart disease. One of our studies, the Heritability and Phenotype Intervention (HAPI) Heart Study, includes extensive coronary heart disease risk factor data and 500,000 SNPs on 900 adults in Old Order Amish pedigrees. Our families are very suitable for genome-wide association studies and they offer special opportunities, compared to population-based samples, because families provide a direct test of allelic transmissions.
This application addresses two specific issues pertaining to genome-wide association studies in families. One relates to development, implementation, testing, and dissemination of efficient ways to clean and process genome-wide SNP data and then create haplotypes. The other relates to developing analytic strategies that combine information from population- and transmission-based association tests to improve power, minimize false positive rates, and enhance efficiency for detecting SNP-trait associations.
描述(由申请人提供):广泛的全基因组单核苷酸多态性(snp)现在是可用的。理论上,我们可以系统地考虑基因组的所有区域,以确定与疾病易感性或不利风险因素相关的区域。然而,在我们能够在全基因组关联研究中实际使用所有遗传信息之前,重要的问题需要得到解决。需要开发方法来检测和解决基因分型错误,我们需要专门为家庭数据设计的新的分析策略,以解释多重比较。
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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JEFFREY R O'CONNELL其他文献
JEFFREY R O'CONNELL的其他文献
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{{ truncateString('JEFFREY R O'CONNELL', 18)}}的其他基金
Elucidating the ancestry-specific genetic and environmental architecture of cardiometabolic traits across All of Us ethnic groups
阐明我们所有种族群体心脏代谢特征的祖先特异性遗传和环境结构
- 批准号:
10796028 - 财政年份:2023
- 资助金额:
$ 30.59万 - 项目类别:
High-performance mixed model toolset for integrative omics analysis of big data
用于大数据综合组学分析的高性能混合模型工具集
- 批准号:
9312511 - 财政年份:2017
- 资助金额:
$ 30.59万 - 项目类别:
Genome-wide Association in Families: Data Integrity, Design and Methods Issue
家庭全基因组关联:数据完整性、设计和方法问题
- 批准号:
7246523 - 财政年份:2006
- 资助金额:
$ 30.59万 - 项目类别:
Genome-wide Association in Families: Data Integrity, Design and Methods Issue
家庭全基因组关联:数据完整性、设计和方法问题
- 批准号:
7421072 - 财政年份:2006
- 资助金额:
$ 30.59万 - 项目类别:
RAPID MULTIPOINT METHODS FOR MAPPING COMPLEX DISEASES
用于绘制复杂疾病图谱的快速多点方法
- 批准号:
2864800 - 财政年份:1998
- 资助金额:
$ 30.59万 - 项目类别:
RAPID MULTIPOINT METHODS FOR MAPPING COMPLEX DISEASES
用于绘制复杂疾病图谱的快速多点方法
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6169588 - 财政年份:1998
- 资助金额:
$ 30.59万 - 项目类别:
RAPID MULTIPOINT METHODS FOR MAPPING COMPLEX DISEASES
用于绘制复杂疾病图谱的快速多点方法
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6043142 - 财政年份:1998
- 资助金额:
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