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High Dimensional Mediation Analysis for DNA Methylation Markers Mediating Cardiovascular Health Metrics and Cardiovascular Diseases

High Dimensional Mediation Analysis for DNA Methylation Markers Mediating Cardiovascular Health Metrics and Cardiovascular Diseases
DNA 甲基化标记介导心血管健康指标和心血管疾病的高维中介分析
批准号:
9918838
负责人:
Lifang Hou
金额:
$23.62万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-01 至 2023-02-28

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中文摘要
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英文摘要
Recent advances in the study of epigenetics and human diseases have prompted a substantial increase in research on the extent to which DNA methylation mediates the effects of environmental exposures on health outcomes. With new and advancing technologies, epigenome-wide DNA methylation data (EWAS) have become the standard for large, population-based epigenetic studies while simultaneously introducing new methodological challenges unique to the use of high-dimensional data in mediation analyses. Due to these challenges, previous studies on epigenetic-mediated effects were generally forced to focus on candidate (gene-specific) methylation markers. More systematic research into this area will remain stalled until the urgent need for analytical methods appropriate and specific to EWAS mediation analysis is met. We propose to develop and apply new analytical approaches to high-dimensional mediation analysis methods for epigenome-wide DNA methylation studies. We will integrate high-dimensional screening and model selection methods into the traditional mediation analysis framework. We will also address sophisticated practical issues in conducting this type of data analysis, specifically: grouping effects of DNA methylation markers on health outcomes, and the generally high correlation among methylation markers. Finally, we will compile and disseminate a user-friendly software package to facilitate implementation of the proposed methods. We will test our proposed methods using data from the Coronary Artery Risk Development in Young Adults Study (CARDIA), a large longitudinal study with available EWAS data that examines the risk factors, development, and determinants of clinical and subclinical cardiovascular disease. Our discoveries may lead to new insights into the mechanisms by which DNA methylation mediates the effects of environmental exposures on health outcomes. It may also inform the development of new interventions targeting these methylation markers and improving the prevention and treatment of disease.
期刊论文(1)
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会议论文
High-dimensional integrative copula discriminant analysis for multiomics data.
多组学数据的高维综合 copula 判别分析
DOI: 10.1002/sim.8758
发表时间: 2020-12-30
期刊: Statistics in medicine
影响因子: 2
作者: [He Y, Chen H, Sun H, Ji J, Shi Y, Zhang X, Liu L]
通讯作者: Liu L
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Epigenomic landscape of individual- and neighborhood-level social disadvantages and cardiovascular health disparity
Epigenomic landscape of individual- and neighborhood-level social disadvantages and cardiovascular health disparity
Epigenetic biomarkers of Cervical HPV in women with oral and oropharyngeal HPV, precancer and cancer
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