The epiGenetIcs Leads to aGe-relAted diseases (GILGA-mesh) Network

表观遗传学导致老年相关疾病 (GILGA-mesh) 网络

• 批准号: 9146268
• 负责人: Steve Horvath
• 金额: $ 31.35万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-30 至 2018-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9146268
• 关键词: Academia; Address; Affect; Age; Aging; Aging-Related Process; Baltimore; Bioinformatics; Biological; Biological Assay; Biological Markers; Birth; Blood; Chromatin; Chronic; Chronic Disease; Cognitive; Cohort Studies; Communities; Computer software; Consent Forms; DNA Methylation; Data; Data Quality; Degenerative Disorder; Disease; Disease susceptibility; Educational workshop; Elderly; Epidemiology; Epigenetic Process; Epithelium; Feasibility Studies; Funding; Future; Genomics; Geroscience; Goals; Grant; Health; Human; Industry; Interdisciplinary Study; Life Cycle Stages; Life Expectancy; Literature; Longitudinal Studies; Measurement; Measures; Mediating; Mediator of activation protein; MicroRNAs; Phenotype; Pilot Projects; Play; Population; Predisposition; Price; Recommendation; Reporting; Reproducibility; Research; Research Infrastructure; Research Personnel; Resources; Risk Factors; Role; Sampling; Selection Criteria; Systems Biology; Techniques; Technology; Testing; Time; TimeLine; Tissue Sample; Tissues; Untranslated RNA; Women' s Health; Writing; age effect; age related; analytical method; base; cell type; cohort; cost; design; disability; disease phenotype; epigenetic marker; fitness; frontier; histone modification; human study; human tissue; insight; meetings; mortality; multiple chronic conditions; novel; phenotypic data; prevent; prognostic; symposium; tool

 DESCRIPTION (provided by applicant): While life expectancy continues to rise, healthspan is not keeping pace because current disease treatments often decrease mortality without preventing the decline in overall health. It is crucial to understand how the underlying processes of aging affect susceptibility to chronic disease and related conditions. Epigenetic mechanisms have arguably become an important frontier in geroscience. We and others have shown that epigenetic biomarkers tend to be more strongly related with chronological age than existing biomarkers of aging. Importantly, we have recently demonstrated that epigenetic biomarkers of aging are prognostic of all-cause mortality in later life and correlate with measures of physical and cognitive fitness in older age. These data suggest that epigenetic mechanisms may play a role in mediating the effect of age on disease susceptibility. In this planning grant we lay out th framework needed to design a large-scale study that tests the overall hypothesis that "epigenetic changes during aging collectively underlie aging as a risk factor for chronic diseases and degenerative conditions". We will generate preliminary results by leveraging existing epigenetic and phenotypic data available to our team of co-investigators and collaborators. These resources include data from the ENCODE project, various epigenetic data generated in multiple tissues, and richly phenotyped cohorts, such as the Baltimore Longitudinal Study of Aging (BLSA), InCHIANTI, the Women's Health Initiative, and the Lothian Birth Cohorts. We will evaluate different platforms for measuring epigenetic age, DNA methylation levels, chromatin states, and non-coding RNAs in terms of their relevance to our overall hypothesis, data quality, coverage, and price. While there exists a large body of literature on epigenetics and aging, our proposal is novel in terms of its breadth and depth: we will lay the groundwork for a study that investigates multiple epigenetic processes (DNA methylation, histone modifications, non-coding RNAs), multiple human tissues, multiple chronic conditions, at multiple time points using multiple well characterized human cohort studies and state-of-the-art statistical and bioinformatics techniques. Using pilot data from these and other studies, we will assess the reliability and precision of cutting-edge epigenetic measures and to estimate the resources needed for a future study. We will also assess to what extent epigenetic features in accessible human tissues (e.g., blood, buccal epithelium) can serve as surrogates for affected tissues and cell types. By organizing two workshops at UCLA, we will establish a research network comprised of leading researchers in the fields of aging research, epigenetics, epidemiology, genomics, and systems biology.