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Assessing the quality of annotations in asthma gene expression experiments

BACKGROUND: The amount of data deposited in the Gene Expression Omnibus (GEO) has expanded significantly. It is important to ensure that these data are properly annotated with clinical data and descriptions of experimental conditions so that they can be useful for future analysis. This study assesse...

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Autores principales: Lacson, Ronilda, Mbagwu, Michael, Yousif, Hisham, Ohno-Machado, Lucila
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967749/
https://www.ncbi.nlm.nih.gov/pubmed/21044366
http://dx.doi.org/10.1186/1471-2105-11-S9-S8
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author Lacson, Ronilda
Mbagwu, Michael
Yousif, Hisham
Ohno-Machado, Lucila
author_facet Lacson, Ronilda
Mbagwu, Michael
Yousif, Hisham
Ohno-Machado, Lucila
author_sort Lacson, Ronilda
collection PubMed
description BACKGROUND: The amount of data deposited in the Gene Expression Omnibus (GEO) has expanded significantly. It is important to ensure that these data are properly annotated with clinical data and descriptions of experimental conditions so that they can be useful for future analysis. This study assesses the adequacy of documented asthma markers in GEO. Three objective measures (coverage, consistency and association) were used for evaluation of annotations contained in 17 asthma studies. RESULTS: There were 918 asthma samples with 20,640 annotated markers. Of these markers, only 10,419 had documented values (50% coverage). In one study carefully examined for consistency, there were discrepancies in drug name usage, with brand name and generic name used in different sections to refer to the same drug. Annotated markers showed adequate association with other relevant variables (i.e. the use of medication only when its corresponding disease state was present). CONCLUSIONS: There is inadequate variable coverage within GEO and usage of terms lacks consistency. Association between relevant variables, however, was adequate.
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spelling pubmed-29677492010-11-03 Assessing the quality of annotations in asthma gene expression experiments Lacson, Ronilda Mbagwu, Michael Yousif, Hisham Ohno-Machado, Lucila BMC Bioinformatics Proceedings BACKGROUND: The amount of data deposited in the Gene Expression Omnibus (GEO) has expanded significantly. It is important to ensure that these data are properly annotated with clinical data and descriptions of experimental conditions so that they can be useful for future analysis. This study assesses the adequacy of documented asthma markers in GEO. Three objective measures (coverage, consistency and association) were used for evaluation of annotations contained in 17 asthma studies. RESULTS: There were 918 asthma samples with 20,640 annotated markers. Of these markers, only 10,419 had documented values (50% coverage). In one study carefully examined for consistency, there were discrepancies in drug name usage, with brand name and generic name used in different sections to refer to the same drug. Annotated markers showed adequate association with other relevant variables (i.e. the use of medication only when its corresponding disease state was present). CONCLUSIONS: There is inadequate variable coverage within GEO and usage of terms lacks consistency. Association between relevant variables, however, was adequate. BioMed Central 2010-10-28 /pmc/articles/PMC2967749/ /pubmed/21044366 http://dx.doi.org/10.1186/1471-2105-11-S9-S8 Text en Copyright ©2010 Lacson et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Lacson, Ronilda
Mbagwu, Michael
Yousif, Hisham
Ohno-Machado, Lucila
Assessing the quality of annotations in asthma gene expression experiments
title Assessing the quality of annotations in asthma gene expression experiments
title_full Assessing the quality of annotations in asthma gene expression experiments
title_fullStr Assessing the quality of annotations in asthma gene expression experiments
title_full_unstemmed Assessing the quality of annotations in asthma gene expression experiments
title_short Assessing the quality of annotations in asthma gene expression experiments
title_sort assessing the quality of annotations in asthma gene expression experiments
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967749/
https://www.ncbi.nlm.nih.gov/pubmed/21044366
http://dx.doi.org/10.1186/1471-2105-11-S9-S8
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