课题基金 / 基金详情

Genomic Wide Association Study of Colorectal Cancer

Genomic Wide Association Study of Colorectal Cancer
结直肠癌的全基因组关联研究
批准号:
7293575
负责人:
GRAHAM CASEY
金额:
$183.03万
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-09-27 至 2008-03-31

项目摘要

项目成果

GRAHAM CASEY的其他基金

相似基金

相关文献

中文摘要
翻译
描述(由申请人提供):利用nci支持的结直肠癌研究合作家庭登记处(Colon CFR)的既定资源,进行结直肠癌的两阶段全基因组关联研究。具体而言,我们提出以下目标。目的1:使用基于人群的病例对照研究设计对结直肠癌进行全基因组关联研究。这一目标将通过结肠CFR招募的992例基于人群的病例和超过1020例年龄和家族史分层的基于人群的对照进行基因分型,基因组中平均每5 kb间隔1个snp。仅包括微卫星稳定型(MSS)或微卫星不稳定低型(MSI-L)表型和错配修复(MMR)突变阴性病例。主要分析包括单snp关联测试和基于单倍型的分析,这些分析代表了人类基因组中发现的所有约400万种常见变异的关联。单核苷酸多态性和单倍型将使用一种基于统计显著性的新选择策略进行排序,并将先前的基因组数据整合到分层建模过程中,以产生更有可能代表“真正积极”和“重要”关联的单核苷酸多态性子集。目的2:使用额外的snp在相同的病例对照结直肠癌人群中证实阳性关联。使用通过Aim 1生成的信息,我们将在同一研究样本中使用来自每个区域的平均4个额外snp来确认1000个最重要区域的snp与CRC风险之间的任何关联。snp (htsnp或tsnp)的选择将基于来自国际HapMap项目和其他类似项目(如Perlegen)的信息,以及选择具有已知或预测功能影响的变体(例如,先前涉及CRC或非同义snp)。将使用Aim 1中分析的所有病例和对照确定额外的snp基因分型和关联。目标3:阳性关联将在第二个独立的基于家庭的病例对照CRC人群中得到验证。利用目标1和目标2的信息,将确定每个地区最具信息量的snp,并在612例额外的家族性MSS或MSI-L病例和950例同代相对对照(未受影响的兄弟姐妹、同父异母兄弟姐妹和表亲)中验证关联。将使用目标1、2和3中分析的所有病例和对照来确定相关性。为了确定与结直肠癌风险最密切相关的变异,将联合进行单变异分析和单倍型特异性检测,考虑两个阶段的关联证据以及与环境暴露的相互作用。目标4:将在目标3中所有可用的家庭系谱成员中验证正相关。最后的分析将包括对所有可用的系谱成员(约3000名受试者,包括病例和对照)进行额外的基因分型,以确定基因组区域/ snp的亚群,包括对家庭内部和家庭之间受影响的对之间的单倍型共享进行测试。
英文摘要
DESCRIPTION (provided by applicant): pose a two-stage genome-wide association study of colorectal cancer using the established resources of the NCI-supported Cooperative Family Registry for Colorectal Cancer Studies (Colon CFR). Specifically, we propose the following Aims. Aim 1: Perform a genome-wide association study for CRC using a population-based case-control study design. This aim will be accomplished by genotyping 992 population-based cases and over 1,020 age - and family history- stratified population-based controls recruited through the Colon CFR with >500,000 SNPs spaced on average 1 every 5 kb in the genome. Only microsatellite stable (MSS) or microsatellite instability low (MSI-L) phenotype and mismatch repair (MMR) mutation negative cases will be included. The primary analysis includes single-SNP association tests and haplotype-based analyses that represent associations with all ~4 million common variants found in the human genome. SNPs and haplotypes will be rank-ordered using a novel selection strategy based on statistical significance and the incorporation of prior genomic data into a hierarchical modeling procedure to yield a subset of SNPs that is more likely to represent "true positive" and "important" associations. Aim 2: Positive associations will be confirmed in the same case-control CRC population using additional SNPs. Using the information generated through Aim 1, we will confirm any association between SNPs in the 1,000 most significant regions and CRC risk in this same study sample using on average 4 additional SNPs from each region. Selection of SNPs (either htSNPs or tSNPs), will be based on information from the International HapMap Project and other similar projects (e.g., Perlegen), as well as selecting variants with known or predicted functional effects (e.g., previously implicated in CRC or non-synonymous SNPs, respectively). The additional SNPs will be genotyped and associations determined using all cases and controls analyzed in Aim 1. Aim 3: Positive associations will be validated in a second independent family-based case-control CRC population. Using information from Aims 1 and 2, the most informative SNPs will be identified for each region and association validated in 612 additional familial MSS or MSI-L cases and 950 same-generation relative controls (unaffected siblings, half-siblings, and cousins). Association will be determined using all cases and controls analyzed in Aims 1, 2 and 3. To identify variants that are most strongly associated with CRC risk, single-variant analyses and haplotype-specific tests will be performed jointly considering evidence of association from both stages, and interactions with environmental exposures. Aim 4: Positive associations will be validated among all available pedigree members in families from Aim 3. A final analysis will incorporate additional genotyping on all available pedigree members (~3,000 total subjects, including cases and controls) for the subset of genomic regions/SNPs attaining significance, including tests of haplotype sharing amongst affected pairs within and between families.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Biology of Colorectal Cancer Risk Enhancers
Functional Characterization of Glioma GWAS Variants
Functional Characterization of Glioma GWAS Variants
Using functional genomics to inform gene environment interactions for colorectal cancer
海外基金