Copy Number Variants (CNVs) and Subclinical Atherosclerosis in MESA
MESA 中的拷贝数变异 (CNV) 和亚临床动脉粥样硬化
基本信息
- 批准号:7824839
- 负责人:
- 金额:$ 50万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2009
- 资助国家:美国
- 起止时间:2009-09-30 至 2011-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAfricanAfrican AmericanAncillary StudyAreaAtherosclerosisAutoimmune DiseasesBiological AssayCalciumCandidate Disease GeneCardiovascular DiseasesCarotid ArteriesCaucasiansCaucasoid RaceCause of DeathChromosome MappingCommunitiesComplexComputer SimulationCoronary ArteriosclerosisCoronary arteryCoupledDataDepositionDetectionDiseaseDisease AssociationDisease susceptibilityEnvironmental Risk FactorEthnic OriginEthnic groupEtiologyEvaluationEventExperimental DesignsFamilyFamily StudyFoundationsFrequenciesFutureGene FrequencyGenesGeneticGenetic RiskGenetic VariationGenomeGenomicsGenotypeGoalsHeart DiseasesHigh Density LipoproteinsHispanicsHumanHuman GenomeInterventionLocationMapsMeasuresMinorMorbidity - disease rateNational Heart, Lung, and Blood InstituteOdds RatioParticipantPhenotypePopulationPreventionPublic HealthRegulationResearchResearch DesignResearch PersonnelResourcesRiskRisk FactorsRoleSNP genotypingSample SizeSamplingScanningStrokeTestingTherapeuticThickUnited StatesVariantbasecardiovascular disorder riskclinically significantcohortcoronary artery calcificationdata miningdata sharingdatabase of Genotypes and Phenotypesdisorder riskgenetic analysisgenetic risk factorgenetic variantgenome wide association studygenome-wideimprovedinnovationloss of functionloss of function mutationlow density lipoprotein inhibitormortalitytherapeutic target
项目摘要
DESCRIPTION (provided by applicant): This application addresses Broad Challenge Area (08): Genomics and specific Challenge Topic, 08-HL-104: Assess Genetic Variation in African Americans and determine its effect on disease. Coronary artery disease (CAD) is a leading cause of death worldwide and the largest killer in the United States. The goal of this study is to determine the role of structural variation in the genome (e.g., copy number variants, CNVs) contributing to subclinical cardiovascular disease (CVD) risk. This application proposes the "MESA CNV" ancillary study to determine the extent of genetic contribution to variation in coronary artery calcium (CAC), carotid artery wall thickness (IMT), and risk factors (HDL, LDL) in non- majority populations. While there are some studies investigating the genetics of coronary calcification, subclinical atherosclerosis and risk factors, the vast majority of studies involve SNP genotyping in Caucasian populations. The current proposal is unique for its combination of multiple measures of subclinical atherosclerosis and in its emphasis on non-majority U.S. ethnic groups and families and the role of structural genetic variants. Using the resources of the MESA Family Study, we propose to test the hypothesis that CNVs are located in selected regions of the genome and will contribute to the genetic risk for atherosclerosis. Further, a subset of the CNVs may reside in regions already identified by the existing GWAS studies and, therefore, increase the likelihood that the candidate gene may have a specific function in regulation, thereby identifying potential therapeutic targets. It is important to target the entire genome to identify potential CNV-influenced atherosclerosis risk loci. This project proposes to perform genomic evaluation of structural variants (CNVs) that may modify risk for atherosclerosis and have effects on its correlated phenotypes and risk factors. Some known CNVs are located near existing CVD susceptibility regions identified by linkage and association scans. This project will, in itself, provide important clues for fine mapping, gene action and function. The project is comprehensive, as it targets the entire genome for implication of CNVs on risk in atherosclerosis. It is highly innovative in its use of a unique resource of MESA African-American and Hispanic families previously genotyped, and proposes to perform comprehensive mapping and analysis to identify regional location, gene identification, and potential causal variant(s) associated with structural variation. This study will consist of two components, evaluation of common CNVs and detection of rare CNVs on atherosclerosis risk. The common CNV analysis will take advantage of the latest advances in the understanding human structural variation, combined with a powerful experimental design using family data, to extend the set of common CNVs that can be tested for CVD/atherosclerosis association. The large sample size of families will also provide an unprecedented statistical power to identify new associations with common CNVs. The rare CNV analysis will investigate a set of genetic variants so far unexplored by association studies: rare variants (minor allele frequency as low as 0.5% in the cohort) but with strong effects on disease risk (odds ratio in the 2-3 range). Owing to these strong effects, such associated rare variants will be outstanding candidates for future functional studies designed to improve our understanding of etiology. The proposed research will greatly advance the field of CVD and genetic basis of atherosclerosis and will provide a foundation for future functional studies. As part of the MESA Study (and MESA SHARe), these data will be coupled with the anticipated MESA genome-wide association scan using SNPs throughout the genome. In addition, consistent with the NHLBI regulations on genome-wide studies, all data will be deposited for use by the greater scientific community and will be accessible through dbGaP. The project represents an extension of the research performed to data by the MESA and MESA Family Study investigators and will be possible only through this collaborative effort. Atherosclerosis is a complex autoimmune disorder that arises from the action of multiple genetic and environmental risk factors with significant burden to the public health of the United States through its role in clinically significant events (heart disease, stroke) and increased morbidity/mortality. This research proposes to scan the human genome in order to identify structural variants (copy number variants, CNVs) that are associated with risk of atherosclerosis. Identification of genetic risk factors for atherosclerosis is the first step in risk prediction, intervention and developing therapeutics for prevention.
描述(由申请人提供):本申请涉及广泛挑战领域(08):基因组学和特定挑战主题,08-HL-104:评估非裔美国人的遗传变异并确定其对疾病的影响。冠状动脉疾病(CAD)是全球死亡的主要原因,也是美国最大的杀手。本研究的目的是确定基因组中结构变异的作用(例如,拷贝数变异,CNVs)的亚临床心血管疾病(CVD)的风险。本申请提出了“梅萨CNV”辅助研究,以确定遗传对非多数群体中冠状动脉钙(CAC)、颈动脉壁厚度(IMT)和风险因子(HDL、LDL)的变化的贡献程度。虽然有一些研究调查冠状动脉钙化,亚临床动脉粥样硬化和危险因素的遗传学,但绝大多数研究涉及高加索人群的SNP基因分型。目前的提案是独特的,因为它结合了亚临床动脉粥样硬化的多种措施,并强调了非多数美国种族群体和家庭以及结构遗传变异的作用。利用梅萨家族研究的资源,我们建议检验CNVs位于基因组的选定区域并将有助于动脉粥样硬化遗传风险的假设。此外,CNV的一个子集可能存在于现有GWAS研究已经鉴定的区域中,因此增加了候选基因在调控中具有特定功能的可能性,从而鉴定了潜在的治疗靶点。重要的是靶向整个基因组,以确定潜在的CNV影响的动脉粥样硬化风险位点。该项目建议对可能改变动脉粥样硬化风险并对其相关表型和危险因素产生影响的结构变异(CNVs)进行基因组评估。一些已知的CNVs位于通过连锁和关联扫描识别的现有CVD易感区域附近。该项目本身将为精细定位、基因作用和功能提供重要线索。该项目是全面的,因为它针对整个基因组的CNVs对动脉粥样硬化风险的影响。它在使用梅萨非洲裔美国人和西班牙裔家庭的独特资源方面具有高度创新性,并提出进行全面的绘图和分析,以确定区域位置,基因鉴定和与结构变异相关的潜在因果变异。这项研究将包括两个组成部分,评估常见的CNVs和检测罕见的CNVs对动脉粥样硬化的风险。常见CNV分析将利用了解人类结构变异的最新进展,结合使用家族数据的强大实验设计,扩展可用于检测CVD/动脉粥样硬化相关性的常见CNV集。大样本量的家庭也将提供前所未有的统计能力,以确定新的协会与共同的CNV。罕见的CNV分析将研究一组迄今为止未被关联研究探索的遗传变异:罕见变异(队列中的次要等位基因频率低至0.5%),但对疾病风险有强烈影响(比值比在2-3范围内)。由于这些强大的影响,这种相关的罕见变异将是未来功能研究的优秀候选者,旨在提高我们对病因学的理解。该研究将极大地推进CVD领域和动脉粥样硬化的遗传基础,并为未来的功能研究提供基础。作为梅萨研究(和梅萨SHARe)的一部分,这些数据将与预期的梅萨全基因组关联扫描结合起来,使用整个基因组的SNP。此外,根据NHLBI关于全基因组研究的规定,所有数据都将被保存,供更大的科学界使用,并将通过dbGaP访问。该项目代表了梅萨和梅萨家庭研究调查人员对数据进行研究的延伸,只有通过这种合作努力才有可能。动脉粥样硬化是一种复杂的自身免疫性疾病,由多种遗传和环境风险因素的作用引起,通过其在临床重大事件(心脏病、中风)中的作用和增加的发病率/死亡率,对美国的公共卫生造成重大负担。这项研究提出扫描人类基因组,以确定与动脉粥样硬化风险相关的结构变异(拷贝数变异,CNV)。确定动脉粥样硬化的遗传危险因素是风险预测、干预和开发预防疗法的第一步。
项目成果
期刊论文数量(0)
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Stephen S. Rich其他文献
Multi-ancestry genome-wide association analyses incorporating SNP-by-psychosocial interactions identify novel loci for serum lipids
纳入 SNP 与心理社会因素相互作用的多祖先全基因组关联分析确定了血清脂质的新位点
- DOI:
10.1038/s41398-025-03418-z - 发表时间:
2025-06-20 - 期刊:
- 影响因子:6.200
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Amy R. Bentley;Michael R. Brown;Solomon K. Musani;Karen L. Schwander;Thomas W. Winkler;Mario Sims;Tuomas O. Kilpeläinen;Hugues Aschard;Traci M. Bartz;Lawrence F. Bielak;Jin-Fang Chai;Kumaraswamy Naidu Chitrala;Nora Franceschini;Mariaelisa Graff;Xiuqing Guo;Fernando P. Hartwig;Andrea R.V.R. Horimoto;Elise Lim;Yongmei Liu;Alisa K. Manning;Ilja M. Nolte;Raymond Noordam;Melissa A. Richard;Albert V. Smith;Yun Ju Sung;Dina Vojinovic;Rujia Wang;Yujie Wang;Mary F. Feitosa;Sarah E. Harris;Leo-Pekka Lyytikäinen;Giorgio Pistis;Rainer Rauramaa;Peter J. van der Most;Erin Ware;Stefan Weiss;Wanqing Wen;Lisa R. Yanek;Dan E. Arking;Donna K. Arnett;Christie Ballantyne;Eric Boerwinkle;Yii-Der Ida Chen;Martha L. Daviglus;Lisa de las Fuentes;Paul S. de Vries;Joseph A. C. Delaney;Amanda M. Fretts;Lynette Ekunwe;Jessica D. Faul;Linda C. Gallo;Sami Heikkinen;Georg Homuth;M. Arfan Ikram;Carmen R. Isasi;Jost Bruno Jonas;Liisa Keltikangas-Järvinen;Pirjo Komulainen;Aldi T. Kraja;Jose E. Krieger;Lenore Launer;Jianjun Liu;Kurt Lohman;Annemarie I. Luik;Ani W. Manichaikul;Pedro Marques-Vidal;Yuri Milaneschi;Stanford E. Mwasongwe;Jeffrey R. O’Connell;Kenneth Rice;Stephen S. Rich;Pamela J. Schreiner;Lars Schwettmann;James M. Shikany;Xiao-ou Shu;Jennifer A. Smith;Harold Snieder;Nona Sotoodehnia;E. Shyong Tai;Kent D. Taylor;Lesley Tinker;Michael Y. Tsai;André G. Uitterlinden;Cornelia M. van Duijn;Diana van Heemst;Melanie Waldenberger;Robert B. Wallace;Hwee-Lin Wee;David R. Weir;Wen-Bin Wei;Ko Willems van Dijk;Gregory Wilson;Jie Yao;Kristin L. Young;Xiaoyu Zhang;Wei Zhao;Xiaofeng Zhu;Alan B. Zonderman;Ian J. Deary;Christian Gieger;Hans Jörgen Grabe;Timo A. Lakka;Terho Lehtimäki;Albertine J. Oldehinkel;Martin Preisig;Ya-Xing Wang;Wei Zheng;Michele K. Evans;Michael Province;James Gauderman;Vilmundur Gudnason;Catharina A. Hartman;Bernardo L. Horta;Sharon L. R. Kardia;Charles Kooperberg;Ching-Ti Liu;Dennis O. Mook-Kanamori;Brenda WJH Penninx;Alexandre C. Pereira;Patricia A. Peyser;Bruce M. Psaty;Jerome I. Rotter;Xueling Sim;Kari E. North;Dabeeru C. Rao;Laura Bierut;Clint L. Miller;Alanna C. Morrison;Charles N. Rotimi;Myriam Fornage;Ervin R. Fox - 通讯作者:
Ervin R. Fox
Still a geneticist's nightmare
仍然是遗传学家的噩梦
- DOI:
10.1038/nature18906 - 发表时间:
2016-07-13 - 期刊:
- 影响因子:48.500
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Analytic options for asthma genetics
哮喘遗传学的分析选项
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1998 - 期刊:
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Polygenic scores for obstructive sleep apnoea reveal pathways contributing to cardiovascular disease
阻塞性睡眠呼吸暂停的多基因评分揭示了导致心血管疾病的途径
- DOI:
10.1016/j.ebiom.2025.105790 - 发表时间:
2025-07-01 - 期刊:
- 影响因子:10.800
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Nuzulul Kurniansyah;Satu J. Strausz;Geetha Chittoor;Shreyash Gupta;Anne E. Justice;Yana Hrytsenko;Brendan T. Keenan;Brian E. Cade;Brian W. Spitzer;Heming Wang;Jennifer Huffman;Matthew R. Moll;Bernhard Haring;Su Yon Jung;Laura M. Raffield;Robert Kaplan;Jerome I. Rotter;Stephen S. Rich;Sina A. Gharib;Traci M. Bartz;Tamar Sofer - 通讯作者:
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Su1750 Transethnic Fine-Mapping of the <em>IL12B</em> Locus Identifies Two Independent Signals Associated With IBD Susceptibility and Disease Behaviors
- DOI:
10.1016/s0016-5085(13)61727-8 - 发表时间:
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Yoichi Kakuta;Marla Dubinsky;Dalin Li;Kyuyoung Song;Suk-Kyun Yang;Byong Duk Ye;Stephen S. Rich;Suna Onengut-Gumuscu;Esther A. Torres;Deepa Panikkath;Talin Haritunians;Stephan R. Targan;Jerome I. Rotter;Kent D. Taylor;Dermot P. McGovern - 通讯作者:
Dermot P. McGovern
Stephen S. Rich的其他文献
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{{ truncateString('Stephen S. Rich', 18)}}的其他基金
Expression and proteomic characterization of risk loci in type 1 diabetes
1 型糖尿病风险位点的表达和蛋白质组学特征
- 批准号:
7797933 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
The role of copy number variants (CNV) in type 1 diabetes
拷贝数变异 (CNV) 在 1 型糖尿病中的作用
- 批准号:
7798326 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
Human Exome Sequencing in Six Well-Phenotyped NHLBI Cohorts
六个表型良好的 NHLBI 队列中的人类外显子组测序
- 批准号:
7854840 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
Copy Number Variants (CNVs) and Subclinical Atherosclerosis in MESA
MESA 中的拷贝数变异 (CNV) 和亚临床动脉粥样硬化
- 批准号:
7937030 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
Human Exome Sequencing in Six Well-Phenotyped NHLBI Cohorts
六个表型良好的 NHLBI 队列中的人类外显子组测序
- 批准号:
7941978 - 财政年份:2009
- 资助金额:
$ 50万 - 项目类别:
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