Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods
About This Grant
PROJECT SUMMARY / ABSTRACT The objective of the proposed research is to develop a comprehensive framework to enhance the utility and accuracy of epigenetic clocks, which are tools used to predict chronological age or aging-related diseases from DNA methylation (DNAm) levels at specific cytosine-guanine dinucleotide (CpG) sites. Despite their widespread use, current epigenetic clocks suffer from the following issues: (i) reduced predictive power when applied to diverse study cohorts, (ii) lack of prediction interval that accounts for population heterogeneity, and (iii) insufficient use of data from higher-resolution platforms. To address these challenges, this proposal sets forth several aims. First, this project will develop a heterogeneity-aware transfer learning framework to improve the generalizability of existing epigenetic clocks to different populations, tissues, or cell types. This includes creating methods to correct biases and enhance prediction accuracy by leveraging information from established clocks while overcoming data-sharing constraints. Second, prediction intervals based on mean regression produce the same width across different subpopulations. This proposed work will establish a quantile regression framework to understand better and predict variations in age acceleration across different population segments. The key idea is to employ high- dimensional quantile regression and conformal inference to build adaptive prediction intervals. Furthermore, this proposed work will create an integrative method utilizing higher-resolution DNAm data to optimize the performance of epigenetic clocks originally developed with lower-resolution data. This method will use neural network transfer learning to integrate information across spatially correlated CpG sites. Lastly, the newly proposed methods will be implemented and disseminated to the scientific community with open-source software packages. The completion of this proposal will significantly improve the generalizability, adaptability, and transparency of epigenetic age calculators, enabling them to serve diverse populations better and incorporate data from newer, higher-resolution DNAm platforms. The availability of open-source software will also support further research and application of these improved models in aging research.
Grant Summary
Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods is a NIA - National Institute on Aging grant providing up to $462K for university, nonprofit, healthcare org. Applications are due 2031-01-31 (open). Check eligibility and apply with FindGrants.
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How to Apply
Up to $462K
2031-01-31
- 1Confirm your organization is eligible for Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods from NIA - National Institute on Aging, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIA - National Institute on Aging before the deadline.
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Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods: Frequently Asked Questions
Who is eligible for the Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods?
Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods is offered by NIA - National Institute on Aging and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods provide?
Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods provides up to $462K per award from NIA - National Institute on Aging. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods deadline?
Applications for Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods are due 2031-01-31 (open). Because deadlines can change, verify the date with the funder, NIA - National Institute on Aging, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods?
To apply for Addressing population and platform heterogeneity in epigenetic clocks via transfer learning and conformal prediction methods, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIA - National Institute on Aging.