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Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment

Environmental health risk assessors are challenged to understand and incorporate new data streams as the field of toxicology continues to adopt new molecular and systems biology technologies. Systematic screening reviews can help risk assessors and assessment teams determine which studies to conside...

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Autores principales: McConnell, Emma R., Bell, Shannon M., Cote, Ila, Wang, Rong-Lin, Perkins, Edward J., Garcia-Reyero, Natàlia, Gong, Ping, Burgoon, Lyle D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273947/
https://www.ncbi.nlm.nih.gov/pubmed/25531884
http://dx.doi.org/10.1371/journal.pone.0110379
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author McConnell, Emma R.
Bell, Shannon M.
Cote, Ila
Wang, Rong-Lin
Perkins, Edward J.
Garcia-Reyero, Natàlia
Gong, Ping
Burgoon, Lyle D.
author_facet McConnell, Emma R.
Bell, Shannon M.
Cote, Ila
Wang, Rong-Lin
Perkins, Edward J.
Garcia-Reyero, Natàlia
Gong, Ping
Burgoon, Lyle D.
author_sort McConnell, Emma R.
collection PubMed
description Environmental health risk assessors are challenged to understand and incorporate new data streams as the field of toxicology continues to adopt new molecular and systems biology technologies. Systematic screening reviews can help risk assessors and assessment teams determine which studies to consider for inclusion in a human health assessment. A tool for systematic reviews should be standardized and transparent in order to consistently determine which studies meet minimum quality criteria prior to performing in-depth analyses of the data. The Systematic Omics Analysis Review (SOAR) tool is focused on assisting risk assessment support teams in performing systematic reviews of transcriptomic studies. SOAR is a spreadsheet tool of 35 objective questions developed by domain experts, focused on transcriptomic microarray studies, and including four main topics: test system, test substance, experimental design, and microarray data. The tool will be used as a guide to identify studies that meet basic published quality criteria, such as those defined by the Minimum Information About a Microarray Experiment standard and the Toxicological Data Reliability Assessment Tool. Seven scientists were recruited to test the tool by using it to independently rate 15 published manuscripts that study chemical exposures with microarrays. Using their feedback, questions were weighted based on importance of the information and a suitability cutoff was set for each of the four topic sections. The final validation resulted in 100% agreement between the users on four separate manuscripts, showing that the SOAR tool may be used to facilitate the standardized and transparent screening of microarray literature for environmental human health risk assessment.
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spelling pubmed-42739472014-12-31 Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment McConnell, Emma R. Bell, Shannon M. Cote, Ila Wang, Rong-Lin Perkins, Edward J. Garcia-Reyero, Natàlia Gong, Ping Burgoon, Lyle D. PLoS One Research Article Environmental health risk assessors are challenged to understand and incorporate new data streams as the field of toxicology continues to adopt new molecular and systems biology technologies. Systematic screening reviews can help risk assessors and assessment teams determine which studies to consider for inclusion in a human health assessment. A tool for systematic reviews should be standardized and transparent in order to consistently determine which studies meet minimum quality criteria prior to performing in-depth analyses of the data. The Systematic Omics Analysis Review (SOAR) tool is focused on assisting risk assessment support teams in performing systematic reviews of transcriptomic studies. SOAR is a spreadsheet tool of 35 objective questions developed by domain experts, focused on transcriptomic microarray studies, and including four main topics: test system, test substance, experimental design, and microarray data. The tool will be used as a guide to identify studies that meet basic published quality criteria, such as those defined by the Minimum Information About a Microarray Experiment standard and the Toxicological Data Reliability Assessment Tool. Seven scientists were recruited to test the tool by using it to independently rate 15 published manuscripts that study chemical exposures with microarrays. Using their feedback, questions were weighted based on importance of the information and a suitability cutoff was set for each of the four topic sections. The final validation resulted in 100% agreement between the users on four separate manuscripts, showing that the SOAR tool may be used to facilitate the standardized and transparent screening of microarray literature for environmental human health risk assessment. Public Library of Science 2014-12-22 /pmc/articles/PMC4273947/ /pubmed/25531884 http://dx.doi.org/10.1371/journal.pone.0110379 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
McConnell, Emma R.
Bell, Shannon M.
Cote, Ila
Wang, Rong-Lin
Perkins, Edward J.
Garcia-Reyero, Natàlia
Gong, Ping
Burgoon, Lyle D.
Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title_full Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title_fullStr Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title_full_unstemmed Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title_short Systematic Omics Analysis Review (SOAR) Tool to Support Risk Assessment
title_sort systematic omics analysis review (soar) tool to support risk assessment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273947/
https://www.ncbi.nlm.nih.gov/pubmed/25531884
http://dx.doi.org/10.1371/journal.pone.0110379
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