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Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18
Genome-wide association studies for non-syndromic orofacial clefting (OFC) have identified single nucleotide polymorphisms (SNPs) at loci where the presumed risk-relevant gene is expressed in oral periderm. The functional subsets of such SNPs are difficult to predict because the sequence underpinnin...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039683/ https://www.ncbi.nlm.nih.gov/pubmed/32031521 http://dx.doi.org/10.7554/eLife.51325 |
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author | Liu, Huan Duncan, Kaylia Helverson, Annika Kumari, Priyanka Mumm, Camille Xiao, Yao Carlson, Jenna Colavincenzo Darbellay, Fabrice Visel, Axel Leslie, Elizabeth Breheny, Patrick Erives, Albert J Cornell, Robert A |
author_facet | Liu, Huan Duncan, Kaylia Helverson, Annika Kumari, Priyanka Mumm, Camille Xiao, Yao Carlson, Jenna Colavincenzo Darbellay, Fabrice Visel, Axel Leslie, Elizabeth Breheny, Patrick Erives, Albert J Cornell, Robert A |
author_sort | Liu, Huan |
collection | PubMed |
description | Genome-wide association studies for non-syndromic orofacial clefting (OFC) have identified single nucleotide polymorphisms (SNPs) at loci where the presumed risk-relevant gene is expressed in oral periderm. The functional subsets of such SNPs are difficult to predict because the sequence underpinnings of periderm enhancers are unknown. We applied ATAC-seq to models of human palate periderm, including zebrafish periderm, mouse embryonic palate epithelia, and a human oral epithelium cell line, and to complementary mesenchymal cell types. We identified sets of enhancers specific to the epithelial cells and trained gapped-kmer support-vector-machine classifiers on these sets. We used the classifiers to predict the effects of 14 OFC-associated SNPs at 12q13 near KRT18. All the classifiers picked the same SNP as having the strongest effect, but the significance was highest with the classifier trained on zebrafish periderm. Reporter and deletion analyses support this SNP as lying within a periderm enhancer regulating KRT18/KRT8 expression. |
format | Online Article Text |
id | pubmed-7039683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-70396832020-02-26 Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 Liu, Huan Duncan, Kaylia Helverson, Annika Kumari, Priyanka Mumm, Camille Xiao, Yao Carlson, Jenna Colavincenzo Darbellay, Fabrice Visel, Axel Leslie, Elizabeth Breheny, Patrick Erives, Albert J Cornell, Robert A eLife Computational and Systems Biology Genome-wide association studies for non-syndromic orofacial clefting (OFC) have identified single nucleotide polymorphisms (SNPs) at loci where the presumed risk-relevant gene is expressed in oral periderm. The functional subsets of such SNPs are difficult to predict because the sequence underpinnings of periderm enhancers are unknown. We applied ATAC-seq to models of human palate periderm, including zebrafish periderm, mouse embryonic palate epithelia, and a human oral epithelium cell line, and to complementary mesenchymal cell types. We identified sets of enhancers specific to the epithelial cells and trained gapped-kmer support-vector-machine classifiers on these sets. We used the classifiers to predict the effects of 14 OFC-associated SNPs at 12q13 near KRT18. All the classifiers picked the same SNP as having the strongest effect, but the significance was highest with the classifier trained on zebrafish periderm. Reporter and deletion analyses support this SNP as lying within a periderm enhancer regulating KRT18/KRT8 expression. eLife Sciences Publications, Ltd 2020-02-07 /pmc/articles/PMC7039683/ /pubmed/32031521 http://dx.doi.org/10.7554/eLife.51325 Text en © 2020, Liu et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Liu, Huan Duncan, Kaylia Helverson, Annika Kumari, Priyanka Mumm, Camille Xiao, Yao Carlson, Jenna Colavincenzo Darbellay, Fabrice Visel, Axel Leslie, Elizabeth Breheny, Patrick Erives, Albert J Cornell, Robert A Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title | Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title_full | Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title_fullStr | Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title_full_unstemmed | Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title_short | Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18 |
title_sort | analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human krt8/18 |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039683/ https://www.ncbi.nlm.nih.gov/pubmed/32031521 http://dx.doi.org/10.7554/eLife.51325 |
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