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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
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.
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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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