Novel Statistical Methods for Oral Microbiome Data Analysis
口腔微生物组数据分析的新统计方法
基本信息
- 批准号:10525318
- 负责人:
- 金额:$ 15.22万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:16S ribosomal RNA sequencingAffectBiologicalBiological MarkersBypassCardiovascular DiseasesCategoriesClinicalClinical TrialsCommunity HealthComplexComputer softwareDataData AnalysesDental cariesDevelopmentDiabetes MellitusDietDiseaseDisputesEcologyEquationExposure toFoundationsFutureGlucose IntoleranceGoalsHealthHomeHumanIndividualInsulin ResistanceIntuitionLeadLinear RegressionsLinkMeasuresMediatingMediationMediator of activation proteinMetabolicMetadataMethodologyMethodsMicrobeModelingMouth DiseasesNoiseOralOral cavityOral healthOutcomeParentsParticipantPathway interactionsPeriodontitisPhenotypePlayPrediabetes syndromeProceduresReproducibility of ResultsResearchResourcesRespiratory SystemRiskRisk FactorsRisk MarkerRoleSamplingSignal TransductionSolidStatistical Data InterpretationStatistical MethodsTaxonomyTestingbasecomplex dataepidemiology studyfollow-upgastrointestinal systemhigh dimensionalityinflammatory markerinnovationinsightinterestmicrobialmicrobiomemicrobiome analysismicrobiome compositionmicrobiome researchmicrobiotanew therapeutic targetnon-Gaussian modelnoveloral infectionoral microbial communityoral microbiomephysical statepredict clinical outcomerecruitresponsesemiparametricsoundsuccessuser-friendly
项目摘要
PROJECT SUMMARY
The oral cavity harbors a great diversity of microbiota that play an important role in human health. Studies have
shown that alterations in the oral microbiome are closely associated with oral diseases such as periodontitis and
dental caries, as well as numerous extra-oral disorders such as diabetes and cardiovascular diseases. Large-
scale epidemiological studies, including our motivating Oral Infections, Glucose Intolerance and Insulin
Resistance Study (ORIGINS), have collected rich data to further investigate the association and mechanistic
pathways between the oral microbial communities and health outcomes. However, microbiome data are
complex, subject to constraints such as compositionality, zero inflation, overdispersion, taxonomic hierarchy,
and high dimensionality. Most existing statistical analyses rely on ad hoc data manipulation and transformation
approaches to bypass these constraints, often leading to uninterpretable and irreproducible results. There is a
pressing need for more principled statistical methods. This proposal will develop novel association and mediation
methods that fully accommodate the unique data features and harness the power of microbiome data. We will
build upon a nascent relative-shift regression framework that provides a highly intuitive and interpretable way of
modeling compositional data. In Aim 1, we will significantly extend the scope of the relative-shift model by
generalizing it to non-Gaussian responses and nolinear relationships. The new methods can better depict the
complex association between microbiota and diverse phenotypes. In Aim 2, we will develop novel mediation
methods with microbial exposures (Sub-Aim 2a) and microbial mediators (Sub-Aim 2b). The methods will provide
a solid foundation for quantifying and testing mediation effects pertaining to microbiome data. The proposed
methods will be applied to the ORIGINS data to identify crucial oral microbiota associated with oral/extra-oral
phenotypes and to delineate the mediation pathways. The methods and an accompanying software package will
also have general utilities in other microbiome studies and promise to enhance our understanding of the
microbiome’s critical role in human health.
项目总结
口腔中含有丰富多样的微生物区系,对人类健康起着重要的作用。研究表明,
研究表明,口腔微生物群的改变与牙周炎和口腔疾病密切相关
龋齿,以及糖尿病和心血管疾病等许多口腔外疾病。大号-
大规模流行病学研究,包括我们的诱因口腔感染、糖耐量异常和胰岛素
抗性研究(起源),收集了丰富的数据,进一步研究了这种联系和机制
口腔微生物群落和健康结果之间的途径。然而,微生物组数据是
复杂,受诸如组合性、零膨胀、过度分散、分类层次、
和高维度。大多数现有的统计分析依赖于即席数据操作和转换
绕过这些限制的方法往往导致无法解释和不可重现的结果。有一个
迫切需要更有原则性的统计方法。这项提议将发展新的联合和调解
完全适应独特的数据特征并利用微生物组数据的力量的方法。我们会
建立在新兴的相对移位回归框架之上,该框架提供了一种高度直观和可解释的方式
对成分数据进行建模。在目标1中,我们将通过以下方式显著扩展相对移位模型的范围
将其推广到非高斯响应和非线性关系。新的方法可以更好地描述
微生物区系与不同表型之间的复杂联系。在目标2中,我们将开发新的调解
方法采用微生物暴露(次级目标2a)和微生物介体(次级目标2b)。这些方法将提供
为量化和测试与微生物组数据有关的中介效应奠定坚实的基础。建议数
方法将应用于来源数据,以确定与口腔/口腔外相关的关键口腔微生物区系
表型,并勾画调解途径。这些方法和随附的软件包将
在其他微生物组研究中也有普遍的实用价值,并承诺加强我们对
微生物群在人类健康中的关键作用。
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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Ryan T. Demmer其他文献
SARS-CoV-2 Infection Among Symptom-Free Healthcare Workers
无症状医护人员感染 SARS-CoV-2
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Ryan T. Demmer;Angela Ulrich;T. Wiggen;A. Strickland;B. Naumchik;Shalini Kulasingam;S. Stovitz;C. Marotz;P. Belda;Greg Humphrey;P. De Hoff;L. Laurent;Susan Kline;R. Knight - 通讯作者:
R. Knight
PERIODONTITIS, ORAL HEALTHCARE PRACTICES, AND THE RISK OF ABDOMINAL AORTIC ANEURYSM: THE ATHEROSCLEROSIS RISK IN COMMUNITIES STUDY
- DOI:
10.1016/s0735-1097(22)02473-1 - 发表时间:
2022-03-08 - 期刊:
- 影响因子:
- 作者:
Romil Parikh;James Pankow;Pamela L. Lutsey;Lin Yee Chen;James Beck;Kunihiro Matsushita;Ryan T. Demmer;Weihong Tang - 通讯作者:
Weihong Tang
Su1140 - Depression and Insomnia among Individuals with Celiac Disease or on A Gluten-Free Diet in the United States: Results from the National Health and Nutrition Examination Survey (NHANES) 2009-2014
- DOI:
10.1016/s0016-5085(17)31799-7 - 发表时间:
2017-04-01 - 期刊:
- 影响因子:
- 作者:
Haley M. Zylberberg;Ryan T. Demmer;Joseph A. Murray;Peter H.R. Green;Benjamin Lebwohl - 通讯作者:
Benjamin Lebwohl
Linking Chronic Kidney Disease to Incident Heart Failure and Adverse Cardiac Remodeling Through the Plasma Proteome: The Atherosclerosis Risk In Communities Study
通过血浆蛋白质组将慢性肾病与突发性心力衰竭和不良心脏重构联系起来:社区动脉粥样硬化风险研究
- DOI:
10.1016/j.jchf.2025.102512 - 发表时间:
2025-08-01 - 期刊:
- 影响因子:11.800
- 作者:
Leo F. Buckley;Pranav Dorbala;Victoria Lamberson;Brian L. Claggett;Yue Ren;Morgan E. Grams;Josef Coresh;Kunihiro Matsushita;Ryan T. Demmer;Ruth F. Dubin;Rajat Deo;Peter Ganz;Christie M. Ballantyne;Ron C. Hoogeveen;Bing Yu;Amil M. Shah - 通讯作者:
Amil M. Shah
Epidemiologic Features of Recovery From SARS-CoV-2 Infection
SARS-CoV-2 感染恢复的流行病学特征
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:13.8
- 作者:
E. Oelsner;Yifei Sun;P. Balte;Norrina B Allen;Howard F. Andrews;April Carson;Shelley A Cole;Josef Coresh;David J. Couper;Mary Cushman;Martha L Daviglus;Ryan T. Demmer;Mitchell S V Elkind;Linda C. Gallo;Jose D Gutierrez;Virginia J. Howard;C. Isasi;Suzanne E. Judd;A. Kanaya;N. Kandula;Robert C. Kaplan;G. L. Kinney;Anna M Kucharska;Daniel T. Lackland;Joyce S Lee;Barry J. Make;Yuan;Joanne M Murabito;Arnita F. Norwood;Victor E Ortega;K. Pettee Gabriel;B. Psaty;Elizabeth A. Regan;D. Sotres;David Schwartz;J. Shikany;B. Thyagarajan;Russell P. Tracy;Jason G Umans;Ramachandran S. Vasan;Sally E. Wenzel;P. Woodruff;V. Xanthakis;Ying Zhang;Wendy S. Post - 通讯作者:
Wendy S. Post
Ryan T. Demmer的其他文献
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{{ truncateString('Ryan T. Demmer', 18)}}的其他基金
Novel Statistical Methods for Oral Microbiome Data Analysis
口腔微生物组数据分析的新统计方法
- 批准号:
10657765 - 财政年份:2022
- 资助金额:
$ 15.22万 - 项目类别:
Multivariate analysis of microbial absolute abundance in population-based studies
基于人群的研究中微生物绝对丰度的多变量分析
- 批准号:
10226477 - 财政年份:2020
- 资助金额:
$ 15.22万 - 项目类别:
The Influence of Physical Activity on the Gut Microbiome of Pre-Diabetic Adults
体力活动对糖尿病前期成人肠道微生物群的影响
- 批准号:
10038089 - 财政年份:2020
- 资助金额:
$ 15.22万 - 项目类别:
Multivariate analysis of microbial absolute abundance in population-based studies.
基于人群的研究中微生物绝对丰度的多变量分析。
- 批准号:
9508100 - 财政年份:2018
- 资助金额:
$ 15.22万 - 项目类别:
Subgingival microbial community structure and insulin resistance
龈下微生物群落结构与胰岛素抵抗
- 批准号:
8513304 - 财政年份:2012
- 资助金额:
$ 15.22万 - 项目类别:
Subgingival microbial community structure and insulin resistance
龈下微生物群落结构与胰岛素抵抗
- 批准号:
8385439 - 财政年份:2012
- 资助金额:
$ 15.22万 - 项目类别:
Periodontal Infections and Type 2 Diabetes Mellitus Risk
牙周感染和 2 型糖尿病风险
- 批准号:
8294388 - 财政年份:2010
- 资助金额:
$ 15.22万 - 项目类别:
Periodontal Infections and Type 2 Diabetes Mellitus Risk
牙周感染和 2 型糖尿病风险
- 批准号:
8902549 - 财政年份:2010
- 资助金额:
$ 15.22万 - 项目类别:
Periodontal Infections and Type 2 Diabetes Mellitus Risk
牙周感染和 2 型糖尿病风险
- 批准号:
8120346 - 财政年份:2010
- 资助金额:
$ 15.22万 - 项目类别:
Periodontal Infections and Type 2 Diabetes Mellitus Risk
牙周感染和 2 型糖尿病风险
- 批准号:
8075185 - 财政年份:2010
- 资助金额:
$ 15.22万 - 项目类别:
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