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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...

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Autores principales: Einbeck, Jochen, Ainsbury, Elizabeth A., Sales, Rachel, Barnard, Stephen, Kaestle, Felix, Higueras, Manuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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