A Conserved Sequence Approach for MS Association Studies
A Conserved Sequence Approach for MS Association Studies
批准号:
7160493
负责人:
DOUGLAS P MORTLOCK
金额:
$7.45万
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
项目状态:
已结题
起止时间:
2006-01-01 至 2008-12-31
关键词:
1q43AffectAntigensAutoimmune ProcessAutoimmune ResponsesAxonBindingBiological AssayCandidate Disease GeneCharacteristicsChromosomesCicatrixClassificationClinicalComplexConserved SequenceDataData SetDatabasesDemyelinationsDiseaseEnvironmental ExposureEtiologyExhibitsFamilyFunctional disorderGenesGeneticGenomicsGenotypeGoalsHLA AntigensHereditary DiseaseHeterogeneityHistocompatibility Antigens Class IIHumanHuman ChromosomesIndividualInflammatoryLocationMajor Histocompatibility ComplexMeasuresModelingMultiple SclerosisMusMyelin ProteinsMyelin SheathNerveNeuraxisNeurodegenerative DisordersPeptidesPhenotypePlayPolygenic TraitsPopulationPredispositionProcessRattusRegulatory ElementResearchResearch PersonnelResearch ProposalsRoleScanningScoreSequence AnalysisSusceptibility GeneT-LymphocyteTestingThinkingTimeTissuesUnited StatesValidationVariantbasecomparativecostfollow-upgenetic associationgenetic pedigreegenome sequencinginterestnovel strategiessuccesstool
中文摘要
描述(由申请人提供):基因组连锁筛选在过去十年中已成为复杂疾病遗传研究的主力。尽管这些筛选在识别复杂疾病感兴趣的区域方面取得了成功,但使用候选基因方法对连锁区域的随访在很大程度上未能识别致病位点。目前的建议的目标是采用一种新的方法来研究一个复杂的遗传疾病的连锁峰的规模遗传关联。该方法以多发性硬化症(MS)为模型,重点选择位于多物种保守序列中的SNP标记,使用新的比较序列分析工具鉴定。对于许多复杂的遗传疾病,研究人员已经进行了大量的基因组筛选,试图确定潜在的MS基因座区域。对MS所有连锁区域的所有候选基因进行彻底的随访已被证明在时间和成本方面都是令人望而却步的,并且最终未能确定主要组织相容性复合体之外的易感基因。这些MS候选基因的研究很可能受到与疾病病理生理直接相关的基因或调控元件的不完整鉴定和表征的阻碍。本研究计划旨在制定一种系统的方法来加快通过连锁研究确定的位置候选区域的后续研究,并将该方法应用于与ms有显著联系的基因组区域。我们假设,通过关注位于进化保守区域的snp,我们可以增加检测与疾病相关的变异的可能性。建议项目的具体目标是:1.)基于人、小鼠、大鼠和鸡基因组序列保守性的1q43染色体MS关联研究的SNP标记优先排序2)。测量位于1q43染色体上感兴趣的保守区域的密集snp群体与约200个多重和约600个单一MS家族的数据集之间的关联。本研究提出的后续连锁研究的新方法将增加成功识别1q43区域遗传因子的可能性,并可能展示加速寻找MS和其他复杂疾病基因的范例。
英文摘要
DESCRIPTION (provided by applicant): Genomic linkage screens have served as the workhorse of genetic studies for complex diseases over the past decade. Despite the success of these screens in identifying regions of interest for complex diseases, follow-up of linkage regions with candidate gene approaches have largely failed to identify causative loci. The goal of the current proposal is to employ a novel approach to investigate genetic association on the scale of a linkage peak for a complex genetic disease. Using multiple sclerosis (MS) as a model, this approach focuses on selection of SNP markers located in multi-species conserved sequences identified using new comparative sequence analysis tools. As for many complex genetic diseases, researchers have conducted numerous genomic screens in an attempt to identify regions potentially harboring MS loci. Thorough follow-up of all candidate genes in all regions of linkage for MS has proven to be prohibitive in terms of both time and cost, and has ultimately failed to identify susceptibility genes outside of the major histocompatibility complex. It is likely that these candidate gene studies for MS have been hampered by the incomplete identification and characterization of genes or regulatory elements that are directly related to disease pathophysiology. This research proposal aims to formulate a systematic approach to expedite the follow-up of positional candidate regions identified through linkage studies and apply this approach to a genomic region that demonstrates significant linkage to MS. We hypothesize that by focusing on SNPs located in evolutionarily conserved regions, we can increase the likelihood of detecting variants that are associated with disease. The specific aims of the proposed project are to: 1.) Prioritize SNP markers for an MS association study on chromosome 1q43 based on conservation between human, mouse, rat, and chick genome sequences; 2.) Measure association between a dense population of SNPs located in conserved regions of interest on chromosome 1q43 and a dataset of ~200 multiplex and ~600 simplex MS families. The novel approach for follow-up of linkage studies proposed in this study will increase the likelihood of successfully identifying a genetic factor in the 1q43 region and will potentially demonstrate a paradigm that expedites the search for genes in MS and other complex diseases.
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会议论文
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海外基金