Social Demographic Moderation of Genome Wide Associations for Body Mass Index
身体质量指数全基因组关联的社会人口调节
基本信息
- 批准号:8686010
- 负责人:
- 金额:$ 35.34万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-24 至 2016-05-31
- 项目状态:已结题
- 来源:
- 关键词:AdolescentAdultArchitectureArchivesBehaviorBehavior TherapyBehavioralBehavioral GeneticsBiologicalBiometryBody SizeBody mass indexCohort StudiesCollectionColoradoCommunitiesComplexConsentCopy Number PolymorphismDNADataDevelopmentDiseaseDizygotic TwinsEnvironmentEnvironmental Risk FactorEtiologyEvaluationEventExerciseFamilyFramingham Heart StudyFutureGeneral PopulationGenesGeneticGenetic MarkersGenetic Predisposition to DiseaseGenomeGenotypeHealthHumanHuman GenomeIndividualInstitutesInterviewLongitudinal StudiesMethodsModelingModificationMolecularMonitorObesityOutcomePharmacologic SubstancePhenotypePopulationPopulations at RiskResearchResearch PersonnelResourcesRespondentRoleSalivaSamplingSiblingsSingle Nucleotide PolymorphismSocial SciencesStratificationTestingTimeTwin Multiple BirthUnited StatesUniversitiesVariantWeightWorkagedbasebehavior influencecase controlcase-basedcohortdesignearly adolescencegene environment interactiongenetic associationgenetic variantgenome wide association studygenome-wideinnovationnutritionsocialtheorieswaist circumferenceyoung adult
项目摘要
DESCRIPTION (provided by applicant): Evidence from biometric and molecular studies indicates that genetic factors significantly influence body mass among humans. This has led to recent efforts to identify single nucleotide polymorphisms (SNPs) across to the entire human genome that are associated with adult and adolescent weight. However, all existing genome wide association (GWA) studies of body mass and obesity have focused on main genetic effects rather than interaction effects between genetic and environmental factors. This leads to gene-environment interaction (GxE) studies that focus on environmental factors that moderate genetic main effects. In the event that there are only genetic effects within particular environments (e.g., no main genetic effects), then current GWA models will overlook important genetic influences. Because body mass is strongly influenced by social environmental factors and because genetic associations for body mass are contingent upon social- environmental influences, environmental risk (and protective) factors must be included in the conceptual understandings and methodological approaches to GWA. While GxE studies involving a single genetic variant are increasingly common, no existing work has specifically focused on genome-wide approaches to GxE. Our approach is a fundamentally new way of examining genetic influences on body mass that extends established GWA methods and draws upon established GxE theory.
描述(由申请人提供):来自生物统计学和分子研究的证据表明,遗传因素显著影响人类的体重。这导致了最近的努力,以确定整个人类基因组的单核苷酸多态性(SNP)与成人和青少年的体重。然而,所有现有的体重和肥胖的全基因组关联(GWA)研究都集中在主要的遗传效应上,而不是遗传和环境因素之间的相互作用。这导致了基因-环境相互作用(GxE)的研究,重点是环境因素,适度的遗传主效应。如果只有特定环境中的遗传效应(例如,没有主要的遗传效应),那么目前的GWA模型将忽略重要的遗传影响。由于体重受到社会环境因素的强烈影响,并且由于体重的遗传关联取决于社会环境影响,因此环境风险(和保护)因素必须包括在GWA的概念理解和方法中。虽然涉及单一遗传变异的GxE研究越来越普遍,但目前还没有专门针对GxE的全基因组方法的研究。我们的方法是一种从根本上研究遗传对体重影响的新方法,它扩展了现有的GWA方法,并借鉴了现有的GxE理论。
项目成果
期刊论文数量(13)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The association between blood pressure and incident Alzheimer disease: a systematic review and meta-analysis.
血压与阿尔茨海默氏病入射之间的关联:系统评价和荟萃分析。
- DOI:10.1097/ede.0b013e31822708b5
- 发表时间:2011-09
- 期刊:
- 影响因子:0
- 作者:Power MC;Weuve J;Gagne JJ;McQueen MB;Viswanathan A;Blacker D
- 通讯作者:Blacker D
Genes in the dopaminergic system and delinquent behaviors across the life course: the role of social controls and risks.
- DOI:10.1177/0093854813514227
- 发表时间:2014-06
- 期刊:
- 影响因子:2.1
- 作者:Boardman JD;Menard S;Roettger ME;Knight KE;Boutwell BB;Smolen A
- 通讯作者:Smolen A
On the parsing of statistical information in family-based association testing.
基于家庭的关联测试中统计信息的解析。
- DOI:10.1038/ng0307-281
- 发表时间:2007
- 期刊:
- 影响因子:30.8
- 作者:McQueen,MatthewB;Weiss,Scott;Laird,NanM;Lange,Christoph
- 通讯作者:Lange,Christoph
Mutational load analysis of unrelated individuals.
- DOI:10.1186/1753-6561-5-s9-s55
- 发表时间:2011-11-29
- 期刊:
- 影响因子:0
- 作者:Howrigan, Daniel P;Simonson, Matthew A;McQueen, Matthew B
- 通讯作者:McQueen, Matthew B
Genomic screening in family-based association testing.
基于家庭的关联测试中的基因组筛查。
- DOI:10.1186/1471-2156-6-s1-s115
- 发表时间:2005
- 期刊:
- 影响因子:2.9
- 作者:Murphy,Amy;McQueen,MatthewB;Su,Jessica;Kraft,Peter;Lazarus,Ross;Laird,NanM;Lange,Christoph;VanSteen,Kristel
- 通讯作者:VanSteen,Kristel
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Jason D Boardman其他文献
Pathways between a polygenic index for education and years of completed schooling: the presentation of self and assessment of others
教育多基因指数与完成学业年限之间的路径:自我呈现和他人评估
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:1.3
- 作者:
Jason D Boardman;K. M. Harris;B. Finch - 通讯作者:
B. Finch
Jason D Boardman的其他文献
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{{ truncateString('Jason D Boardman', 18)}}的其他基金
Rural-Urban Differences in Polygenic Associations for Health and Health Behaviors
健康和健康行为多基因关联的城乡差异
- 批准号:
10734666 - 财政年份:2023
- 资助金额:
$ 35.34万 - 项目类别:
University of Colorado Interdisciplinary Training in Demography and Genetics
科罗拉多大学人口学和遗传学跨学科培训
- 批准号:
9280429 - 财政年份:2017
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
10246815 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
10458710 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
9978673 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
9613094 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
The Social and Genetic Epidemiology of Health Behaviors: An Integrated Approach
健康行为的社会和遗传流行病学:综合方法
- 批准号:
8737918 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
8597575 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
8727652 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
Integrating Genetics and Social Sciences Annual Conference
遗传学与社会科学融合年会
- 批准号:
9333414 - 财政年份:2013
- 资助金额:
$ 35.34万 - 项目类别:
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