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Tissue context determines the penetrance of regulatory DNA variation

Functional assessment of disease-associated sequence variation at non-coding regulatory elements is complicated by their high degree of context sensitivity to both the local chromatin and nuclear environments. Allelic profiling of DNA accessibility across individuals has shown that only a select min...

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Autores principales: Halow, Jessica M., Byron, Rachel, Hogan, Megan S., Ordoñez, Raquel, Groudine, Mark, Bender, M. A., Stamatoyannopoulos, John A., Maurano, Matthew T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121920/
https://www.ncbi.nlm.nih.gov/pubmed/33990600
http://dx.doi.org/10.1038/s41467-021-23139-3
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author Halow, Jessica M.
Byron, Rachel
Hogan, Megan S.
Ordoñez, Raquel
Groudine, Mark
Bender, M. A.
Stamatoyannopoulos, John A.
Maurano, Matthew T.
author_facet Halow, Jessica M.
Byron, Rachel
Hogan, Megan S.
Ordoñez, Raquel
Groudine, Mark
Bender, M. A.
Stamatoyannopoulos, John A.
Maurano, Matthew T.
author_sort Halow, Jessica M.
collection PubMed
description Functional assessment of disease-associated sequence variation at non-coding regulatory elements is complicated by their high degree of context sensitivity to both the local chromatin and nuclear environments. Allelic profiling of DNA accessibility across individuals has shown that only a select minority of sequence variation affects transcription factor (TF) occupancy, yet low sequence diversity in human populations means that no experimental assessment is available for the majority of disease-associated variants. Here we describe high-resolution in vivo maps of allelic DNA accessibility in liver, kidney, lung and B cells from 5 increasingly diverged strains of F1 hybrid mice. The high density of heterozygous sites in these hybrids enables precise quantification of effect size and cell-type specificity for hundreds of thousands of variants throughout the mouse genome. We show that chromatin-altering variants delineate characteristic sensitivity profiles for hundreds of TF motifs. We develop a compendium of TF-specific sensitivity profiles accounting for genomic context effects. Finally, we link maps of allelic accessibility to allelic transcript levels in the same samples. This work provides a foundation for quantitative prediction of cell-type specific effects of non-coding variation on TF activity, which will facilitate both fine-mapping and systems-level analyses of common disease-associated variation in human genomes.
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spelling pubmed-81219202021-05-18 Tissue context determines the penetrance of regulatory DNA variation Halow, Jessica M. Byron, Rachel Hogan, Megan S. Ordoñez, Raquel Groudine, Mark Bender, M. A. Stamatoyannopoulos, John A. Maurano, Matthew T. Nat Commun Article Functional assessment of disease-associated sequence variation at non-coding regulatory elements is complicated by their high degree of context sensitivity to both the local chromatin and nuclear environments. Allelic profiling of DNA accessibility across individuals has shown that only a select minority of sequence variation affects transcription factor (TF) occupancy, yet low sequence diversity in human populations means that no experimental assessment is available for the majority of disease-associated variants. Here we describe high-resolution in vivo maps of allelic DNA accessibility in liver, kidney, lung and B cells from 5 increasingly diverged strains of F1 hybrid mice. The high density of heterozygous sites in these hybrids enables precise quantification of effect size and cell-type specificity for hundreds of thousands of variants throughout the mouse genome. We show that chromatin-altering variants delineate characteristic sensitivity profiles for hundreds of TF motifs. We develop a compendium of TF-specific sensitivity profiles accounting for genomic context effects. Finally, we link maps of allelic accessibility to allelic transcript levels in the same samples. This work provides a foundation for quantitative prediction of cell-type specific effects of non-coding variation on TF activity, which will facilitate both fine-mapping and systems-level analyses of common disease-associated variation in human genomes. Nature Publishing Group UK 2021-05-14 /pmc/articles/PMC8121920/ /pubmed/33990600 http://dx.doi.org/10.1038/s41467-021-23139-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Halow, Jessica M.
Byron, Rachel
Hogan, Megan S.
Ordoñez, Raquel
Groudine, Mark
Bender, M. A.
Stamatoyannopoulos, John A.
Maurano, Matthew T.
Tissue context determines the penetrance of regulatory DNA variation
title Tissue context determines the penetrance of regulatory DNA variation
title_full Tissue context determines the penetrance of regulatory DNA variation
title_fullStr Tissue context determines the penetrance of regulatory DNA variation
title_full_unstemmed Tissue context determines the penetrance of regulatory DNA variation
title_short Tissue context determines the penetrance of regulatory DNA variation
title_sort tissue context determines the penetrance of regulatory dna variation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8121920/
https://www.ncbi.nlm.nih.gov/pubmed/33990600
http://dx.doi.org/10.1038/s41467-021-23139-3
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