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A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay
Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure to ionizing radiation. While the existing literature has convincingly demons...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261578/ https://www.ncbi.nlm.nih.gov/pubmed/30485322 http://dx.doi.org/10.1371/journal.pone.0207464 |
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author | Einbeck, Jochen Ainsbury, Elizabeth A. Sales, Rachel Barnard, Stephen Kaestle, Felix Higueras, Manuel |
author_facet | Einbeck, Jochen Ainsbury, Elizabeth A. Sales, Rachel Barnard, Stephen Kaestle, Felix Higueras, Manuel |
author_sort | Einbeck, Jochen |
collection | PubMed |
description | Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure to ionizing radiation. While the existing literature has convincingly demonstrated a dose–response effect, and also presented approaches to dose estimation based on appropriately defined calibration curves, a more widespread practical use is still hampered by a certain lack of discussion and agreement on the specific dose–response modelling and uncertainty quantification strategies, as well as by the unavailability of implementations. This manuscript intends to fill these gaps, by stating explicitly the statistical models and techniques required for calibration curve estimation and subsequent dose estimation. Accompanying this article, a web applet has been produced which implements the discussed methods. |
format | Online Article Text |
id | pubmed-6261578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62615782018-12-19 A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay Einbeck, Jochen Ainsbury, Elizabeth A. Sales, Rachel Barnard, Stephen Kaestle, Felix Higueras, Manuel PLoS One Research Article Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure to ionizing radiation. While the existing literature has convincingly demonstrated a dose–response effect, and also presented approaches to dose estimation based on appropriately defined calibration curves, a more widespread practical use is still hampered by a certain lack of discussion and agreement on the specific dose–response modelling and uncertainty quantification strategies, as well as by the unavailability of implementations. This manuscript intends to fill these gaps, by stating explicitly the statistical models and techniques required for calibration curve estimation and subsequent dose estimation. Accompanying this article, a web applet has been produced which implements the discussed methods. Public Library of Science 2018-11-28 /pmc/articles/PMC6261578/ /pubmed/30485322 http://dx.doi.org/10.1371/journal.pone.0207464 Text en © 2018 Einbeck et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Einbeck, Jochen Ainsbury, Elizabeth A. Sales, Rachel Barnard, Stephen Kaestle, Felix Higueras, Manuel A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title | A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title_full | A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title_fullStr | A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title_full_unstemmed | A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title_short | A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay |
title_sort | statistical framework for radiation dose estimation with uncertainty quantification from the γ-h2ax assay |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6261578/ https://www.ncbi.nlm.nih.gov/pubmed/30485322 http://dx.doi.org/10.1371/journal.pone.0207464 |
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