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Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations

Annotations of evolutionary sequence constraint based on multi-species genome alignments and genome-wide maps of epigenomic marks and transcription factor binding provide important complementary information for understanding the human genome and genetic variation. Here we developed the Constrained N...

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Autores principales: Grujic, Olivera, Phung, Tanya N., Kwon, Soo Bin, Arneson, Adriana, Lee, Yuju, Lohmueller, Kirk E., Ernst, Jason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710766/
https://www.ncbi.nlm.nih.gov/pubmed/33268804
http://dx.doi.org/10.1038/s41467-020-19962-9
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author Grujic, Olivera
Phung, Tanya N.
Kwon, Soo Bin
Arneson, Adriana
Lee, Yuju
Lohmueller, Kirk E.
Ernst, Jason
author_facet Grujic, Olivera
Phung, Tanya N.
Kwon, Soo Bin
Arneson, Adriana
Lee, Yuju
Lohmueller, Kirk E.
Ernst, Jason
author_sort Grujic, Olivera
collection PubMed
description Annotations of evolutionary sequence constraint based on multi-species genome alignments and genome-wide maps of epigenomic marks and transcription factor binding provide important complementary information for understanding the human genome and genetic variation. Here we developed the Constrained Non-Exonic Predictor (CNEP) to quantify the evidence of each base in the genome being in an evolutionarily constrained non-exonic element from an input of over 60,000 epigenomic and transcription factor binding features. We find that the CNEP score outperforms baseline and related existing scores at predicting evolutionarily constrained non-exonic bases from such data. However, a subset of them are still not well predicted by CNEP. We developed a complementary Conservation Signature Score by CNEP (CSS-CNEP) that is predictive of those bases. We further characterize the nature of constrained non-exonic bases with low CNEP scores using additional types of information. CNEP and CSS-CNEP are resources for analyzing constrained non-exonic bases in the genome.
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spelling pubmed-77107662020-12-07 Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations Grujic, Olivera Phung, Tanya N. Kwon, Soo Bin Arneson, Adriana Lee, Yuju Lohmueller, Kirk E. Ernst, Jason Nat Commun Article Annotations of evolutionary sequence constraint based on multi-species genome alignments and genome-wide maps of epigenomic marks and transcription factor binding provide important complementary information for understanding the human genome and genetic variation. Here we developed the Constrained Non-Exonic Predictor (CNEP) to quantify the evidence of each base in the genome being in an evolutionarily constrained non-exonic element from an input of over 60,000 epigenomic and transcription factor binding features. We find that the CNEP score outperforms baseline and related existing scores at predicting evolutionarily constrained non-exonic bases from such data. However, a subset of them are still not well predicted by CNEP. We developed a complementary Conservation Signature Score by CNEP (CSS-CNEP) that is predictive of those bases. We further characterize the nature of constrained non-exonic bases with low CNEP scores using additional types of information. CNEP and CSS-CNEP are resources for analyzing constrained non-exonic bases in the genome. Nature Publishing Group UK 2020-12-02 /pmc/articles/PMC7710766/ /pubmed/33268804 http://dx.doi.org/10.1038/s41467-020-19962-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Grujic, Olivera
Phung, Tanya N.
Kwon, Soo Bin
Arneson, Adriana
Lee, Yuju
Lohmueller, Kirk E.
Ernst, Jason
Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title_full Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title_fullStr Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title_full_unstemmed Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title_short Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
title_sort identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710766/
https://www.ncbi.nlm.nih.gov/pubmed/33268804
http://dx.doi.org/10.1038/s41467-020-19962-9
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