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DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR
Telomere length (TL) is a marker of biological aging associated with several health outcomes. High throughput reproducible TL measurements are needed for large epidemiological studies. We compared the novel DNA methylation-based estimator (DNAmTL) with the high-throughput quantitative PCR (qPCR) and...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221337/ https://www.ncbi.nlm.nih.gov/pubmed/34083495 http://dx.doi.org/10.18632/aging.203126 |
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author | Pearce, Emily E. Horvath, Steve Katta, Shilpa Dagnall, Casey Aubert, Geraldine Hicks, Belynda D. Spellman, Stephen R. Katki, Hormuzd Savage, Sharon A. Alsaggaf, Rotana Gadalla, Shahinaz M. |
author_facet | Pearce, Emily E. Horvath, Steve Katta, Shilpa Dagnall, Casey Aubert, Geraldine Hicks, Belynda D. Spellman, Stephen R. Katki, Hormuzd Savage, Sharon A. Alsaggaf, Rotana Gadalla, Shahinaz M. |
author_sort | Pearce, Emily E. |
collection | PubMed |
description | Telomere length (TL) is a marker of biological aging associated with several health outcomes. High throughput reproducible TL measurements are needed for large epidemiological studies. We compared the novel DNA methylation-based estimator (DNAmTL) with the high-throughput quantitative PCR (qPCR) and the highly accurate flow cytometry with fluorescent in situ hybridization (flow FISH) methods using blood samples from healthy adults. We used Pearson’s correlation coefficient, Bland Altman plots and linear regression models for statistical analysis. Shorter DNAmTL was associated with older age, male sex, white race, and cytomegalovirus seropositivity (p<0.01 for all). DNAmTL was moderately correlated with qPCR TL (N=635, r=0.41, p < 0.0001) and flow FISH total lymphocyte TL (N=144, r=0.56, p < 0.0001). The agreements between flow FISH TL and DNAmTL or qPCR were acceptable but with wide limits of agreement. DNAmTL correctly classified >70% of TL categorized above or below the median, but the accuracy dropped with increasing TL categories. The ability of DNAmTL to detect associations with age and other TL-related factors in the absence of strong correlation with measured TL may indicate its capture of aspects of telomere maintenance mechanisms and not necessarily TL. The inaccuracy of DNAmTL prediction should be considered during data interpretation and across-study comparisons. |
format | Online Article Text |
id | pubmed-8221337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-82213372021-06-26 DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR Pearce, Emily E. Horvath, Steve Katta, Shilpa Dagnall, Casey Aubert, Geraldine Hicks, Belynda D. Spellman, Stephen R. Katki, Hormuzd Savage, Sharon A. Alsaggaf, Rotana Gadalla, Shahinaz M. Aging (Albany NY) Research Paper Telomere length (TL) is a marker of biological aging associated with several health outcomes. High throughput reproducible TL measurements are needed for large epidemiological studies. We compared the novel DNA methylation-based estimator (DNAmTL) with the high-throughput quantitative PCR (qPCR) and the highly accurate flow cytometry with fluorescent in situ hybridization (flow FISH) methods using blood samples from healthy adults. We used Pearson’s correlation coefficient, Bland Altman plots and linear regression models for statistical analysis. Shorter DNAmTL was associated with older age, male sex, white race, and cytomegalovirus seropositivity (p<0.01 for all). DNAmTL was moderately correlated with qPCR TL (N=635, r=0.41, p < 0.0001) and flow FISH total lymphocyte TL (N=144, r=0.56, p < 0.0001). The agreements between flow FISH TL and DNAmTL or qPCR were acceptable but with wide limits of agreement. DNAmTL correctly classified >70% of TL categorized above or below the median, but the accuracy dropped with increasing TL categories. The ability of DNAmTL to detect associations with age and other TL-related factors in the absence of strong correlation with measured TL may indicate its capture of aspects of telomere maintenance mechanisms and not necessarily TL. The inaccuracy of DNAmTL prediction should be considered during data interpretation and across-study comparisons. Impact Journals 2021-06-03 /pmc/articles/PMC8221337/ /pubmed/34083495 http://dx.doi.org/10.18632/aging.203126 Text en Copyright: © 2021 Pearce et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Pearce, Emily E. Horvath, Steve Katta, Shilpa Dagnall, Casey Aubert, Geraldine Hicks, Belynda D. Spellman, Stephen R. Katki, Hormuzd Savage, Sharon A. Alsaggaf, Rotana Gadalla, Shahinaz M. DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title | DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title_full | DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title_fullStr | DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title_full_unstemmed | DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title_short | DNA-methylation-based telomere length estimator: comparisons with measurements from flow FISH and qPCR |
title_sort | dna-methylation-based telomere length estimator: comparisons with measurements from flow fish and qpcr |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8221337/ https://www.ncbi.nlm.nih.gov/pubmed/34083495 http://dx.doi.org/10.18632/aging.203126 |
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