Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations

Abstract Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the ontology and the annotations — evolve rapidly....

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Autores principales: Aurelie Tomczak, Jonathan M. Mortensen, Rainer Winnenburg, Charles Liu, Dominique T. Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston Haynes, Nigam H. Shah, Mark A. Musen, Purvesh Khatri
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/22ec44186f434485be70d5c0e2be2183
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spelling oai:doaj.org-article:22ec44186f434485be70d5c0e2be21832021-12-02T15:07:57ZInterpretation of biological experiments changes with evolution of the Gene Ontology and its annotations10.1038/s41598-018-23395-22045-2322https://doaj.org/article/22ec44186f434485be70d5c0e2be21832018-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-23395-2https://doaj.org/toc/2045-2322Abstract Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the ontology and the annotations — evolve rapidly. We used gene signatures derived from 104 disease analyses to systematically evaluate how enrichment analysis results were affected by evolution of the GO over a decade. We found low consistency between enrichment analyses results obtained with early and more recent GO versions. Furthermore, there continues to be a strong annotation bias in the GO annotations where 58% of the annotations are for 16% of the human genes. Our analysis suggests that GO evolution may have affected the interpretation and possibly reproducibility of experiments over time. Hence, researchers must exercise caution when interpreting GO enrichment analyses and should reexamine previous analyses with the most recent GO version.Aurelie TomczakJonathan M. MortensenRainer WinnenburgCharles LiuDominique T. AlessiVarsha SwamyFrancesco VallaniaShane LofgrenWinston HaynesNigam H. ShahMark A. MusenPurvesh KhatriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Aurelie Tomczak
Jonathan M. Mortensen
Rainer Winnenburg
Charles Liu
Dominique T. Alessi
Varsha Swamy
Francesco Vallania
Shane Lofgren
Winston Haynes
Nigam H. Shah
Mark A. Musen
Purvesh Khatri
Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
description Abstract Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the ontology and the annotations — evolve rapidly. We used gene signatures derived from 104 disease analyses to systematically evaluate how enrichment analysis results were affected by evolution of the GO over a decade. We found low consistency between enrichment analyses results obtained with early and more recent GO versions. Furthermore, there continues to be a strong annotation bias in the GO annotations where 58% of the annotations are for 16% of the human genes. Our analysis suggests that GO evolution may have affected the interpretation and possibly reproducibility of experiments over time. Hence, researchers must exercise caution when interpreting GO enrichment analyses and should reexamine previous analyses with the most recent GO version.
format article
author Aurelie Tomczak
Jonathan M. Mortensen
Rainer Winnenburg
Charles Liu
Dominique T. Alessi
Varsha Swamy
Francesco Vallania
Shane Lofgren
Winston Haynes
Nigam H. Shah
Mark A. Musen
Purvesh Khatri
author_facet Aurelie Tomczak
Jonathan M. Mortensen
Rainer Winnenburg
Charles Liu
Dominique T. Alessi
Varsha Swamy
Francesco Vallania
Shane Lofgren
Winston Haynes
Nigam H. Shah
Mark A. Musen
Purvesh Khatri
author_sort Aurelie Tomczak
title Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
title_short Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
title_full Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
title_fullStr Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
title_full_unstemmed Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations
title_sort interpretation of biological experiments changes with evolution of the gene ontology and its annotations
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/22ec44186f434485be70d5c0e2be2183
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