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Epigenetic clocks for gestational age: statistical and study design considerations
In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602851/ https://www.ncbi.nlm.nih.gov/pubmed/28932320 http://dx.doi.org/10.1186/s13148-017-0402-y |
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author | Simpkin, Andrew J. Suderman, Matthew Howe, Laura D. |
author_facet | Simpkin, Andrew J. Suderman, Matthew Howe, Laura D. |
author_sort | Simpkin, Andrew J. |
collection | PubMed |
description | In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data. |
format | Online Article Text |
id | pubmed-5602851 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56028512017-09-20 Epigenetic clocks for gestational age: statistical and study design considerations Simpkin, Andrew J. Suderman, Matthew Howe, Laura D. Clin Epigenetics Letter to the Editor In this letter to the editor, we highlight some concerns with a recently published method to estimate gestational age at delivery from DNA methylation data. We conduct novel analyses to highlight the implications of different choices in study design and statistical methods for the prediction of phenotypes from methylation data. BioMed Central 2017-09-15 /pmc/articles/PMC5602851/ /pubmed/28932320 http://dx.doi.org/10.1186/s13148-017-0402-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Letter to the Editor Simpkin, Andrew J. Suderman, Matthew Howe, Laura D. Epigenetic clocks for gestational age: statistical and study design considerations |
title | Epigenetic clocks for gestational age: statistical and study design considerations |
title_full | Epigenetic clocks for gestational age: statistical and study design considerations |
title_fullStr | Epigenetic clocks for gestational age: statistical and study design considerations |
title_full_unstemmed | Epigenetic clocks for gestational age: statistical and study design considerations |
title_short | Epigenetic clocks for gestational age: statistical and study design considerations |
title_sort | epigenetic clocks for gestational age: statistical and study design considerations |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5602851/ https://www.ncbi.nlm.nih.gov/pubmed/28932320 http://dx.doi.org/10.1186/s13148-017-0402-y |
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