A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes
Summary: Epigenetic aging clocks are computational models that use DNA methylation sites to predict age. Since cheek swabs are non-invasive and painless, collecting DNA from buccal tissue is highly desirable. Here, we review 11 existing clocks that have been applied to buccal tissue. Two of these we...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | iScience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004222015760 |
| _version_ | 1811344220153184256 |
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| author | Adiv A. Johnson Nicole S. Torosin Maxim N. Shokhirev Trinna L. Cuellar |
| author_facet | Adiv A. Johnson Nicole S. Torosin Maxim N. Shokhirev Trinna L. Cuellar |
| author_sort | Adiv A. Johnson |
| collection | DOAJ |
| description | Summary: Epigenetic aging clocks are computational models that use DNA methylation sites to predict age. Since cheek swabs are non-invasive and painless, collecting DNA from buccal tissue is highly desirable. Here, we review 11 existing clocks that have been applied to buccal tissue. Two of these were exclusively trained on adults and, while moderately accurate, have not been used to capture health-relevant differences in epigenetic age. Using 130 common CpGs utilized by two or more existing buccal clocks, we generate a proof-of-concept predictor in an adult methylomic dataset. In addition to accurately estimating age (r = 0.95 and mean absolute error = 3.88 years), this clock predicted that Down syndrome subjects were significantly older relative to controls. A literature and database review of CpG-associated genes identified numerous genes (e.g., CLOCK, ELOVL2, and VGF) and molecules (e.g., alpha-linolenic acid, glycine, and spermidine) reported to influence lifespan and/or age-related disease in model organisms. |
| first_indexed | 2024-04-13T19:43:54Z |
| format | Article |
| id | doaj.art-07aa71e761ed4c6d861a3ed97068d85e |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-13T19:43:54Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-07aa71e761ed4c6d861a3ed97068d85e2022-12-22T02:32:46ZengElsevieriScience2589-00422022-11-012511105304A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genesAdiv A. Johnson0Nicole S. Torosin1Maxim N. Shokhirev2Trinna L. Cuellar3Longevity Sciences, Inc. (dba Tally Health), Greenwich, CT, USA; Corresponding authorLongevity Sciences, Inc. (dba Tally Health), Greenwich, CT, USALongevity Sciences, Inc. (dba Tally Health), Greenwich, CT, USALongevity Sciences, Inc. (dba Tally Health), Greenwich, CT, USASummary: Epigenetic aging clocks are computational models that use DNA methylation sites to predict age. Since cheek swabs are non-invasive and painless, collecting DNA from buccal tissue is highly desirable. Here, we review 11 existing clocks that have been applied to buccal tissue. Two of these were exclusively trained on adults and, while moderately accurate, have not been used to capture health-relevant differences in epigenetic age. Using 130 common CpGs utilized by two or more existing buccal clocks, we generate a proof-of-concept predictor in an adult methylomic dataset. In addition to accurately estimating age (r = 0.95 and mean absolute error = 3.88 years), this clock predicted that Down syndrome subjects were significantly older relative to controls. A literature and database review of CpG-associated genes identified numerous genes (e.g., CLOCK, ELOVL2, and VGF) and molecules (e.g., alpha-linolenic acid, glycine, and spermidine) reported to influence lifespan and/or age-related disease in model organisms.http://www.sciencedirect.com/science/article/pii/S2589004222015760EpigeneticsChronobiologyBioinformaticsArtificial intelligence |
| spellingShingle | Adiv A. Johnson Nicole S. Torosin Maxim N. Shokhirev Trinna L. Cuellar A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes iScience Epigenetics Chronobiology Bioinformatics Artificial intelligence |
| title | A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes |
| title_full | A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes |
| title_fullStr | A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes |
| title_full_unstemmed | A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes |
| title_short | A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes |
| title_sort | set of common buccal cpgs that predict epigenetic age and associate with lifespan regulating genes |
| topic | Epigenetics Chronobiology Bioinformatics Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2589004222015760 |
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