Journal article
A simple, rapid, interpretable, actionable and implementable digital PCR based mortality index
Epigenetics, Vol.16(10), pp.1135-1149
2021
DOI: 10.1080/15592294.2020.1841874
PMID: 33138668
Abstract
Mortality assessments are conducted for both civil and commercial purposes. Recent advances in epigenetics have resulted in DNA methylation tools to assess risk and aid in this task. However, widely available array-based algorithms are not readily translatable into clinical tools and do not provide a good foundation for clinical recommendations. Further, recent work shows evidence of heritability and possible racial bias in these indices. Using a publicly available array data set, the Framingham Heart Study (FHS), we develop and test a five-locus mortality-risk algorithm using only previously validated methylation biomarkers that have been shown to be free of racial bias, and that provide specific assessments of smoking, alcohol consumption, diabetes and heart disease. We show that a model using age, sex and methylation measurements at these five loci outperforms the 513 probe Levine index and approximates the predictive power of the 1030 probe GrimAge index. We then show each of the five loci in our algorithm can be assessed using a more powerful, reference-free digital PCR approach, further demonstrating that it is readily clinically translatable. Finally, we show the loci do not reflect ethnically specific variation. We conclude that this algorithm is a simple, yet powerful tool for assessing mortality risk. We further suggest that the output from this or similarly derived algorithms using either array or digital PCR can be used to provide powerful feedback to patients, guide recommendations for additional medical assessments, and help monitor the effect of public health prevention interventions.
Details
- Title: Subtitle
- A simple, rapid, interpretable, actionable and implementable digital PCR based mortality index
- Creators
- Robert Philibert - Behavioral Diagnostics LLCJeffrey D Long - University of IowaJames A Mills - University of IowaS. R. H Beach - University of GeorgiaFrederick X Gibbons - University of ConnecticutMeg Gerrard - University of ConnecticutRon Simons - University of GeorgiaPaulo B Pinho - Optimum Life ReinsuranceDouglas Ingle - Association of Home Office UnderwritersKelsey Dawes - University of IowaTimur Dogan - Cardio Diagnostics IncMeeshanthini Dogan - Cardio Diagnostics Inc
- Resource Type
- Journal article
- Publication Details
- Epigenetics, Vol.16(10), pp.1135-1149
- Publisher
- Taylor & Francis
- DOI
- 10.1080/15592294.2020.1841874
- PMID
- 33138668
- ISSN
- 1559-2294
- eISSN
- 1559-2308
- Grant note
- DOI: 10.13039/100000002, name: National Institutes of Health, award: R01AG055393; DOI: 10.13039/100000002, name: National Institutes of Health, award: R01DA037648; DOI: 10.13039/100000002, name: National Institutes of Health, award: MH080898; DOI: 10.13039/100000002, name: National Institutes of Health
- Language
- English
- Electronic publication date
- 11/02/2020
- Date published
- 2021
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Psychiatry; Iowa Neuroscience Institute; Biostatistics
- Record Identifier
- 9984066105502771
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