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Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation
The extent to which the impact of regulatory genetic variants may depend on other factors, such as the expression levels of upstream transcription factors, remains poorly understood. Here we report a framework in which regulatory variants are first aggregated into sets, and using these as estimates...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969137/ https://www.ncbi.nlm.nih.gov/pubmed/31953380 http://dx.doi.org/10.1038/s41467-019-13762-6 |
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author | Wragg, D. Liu, Q. Lin, Z. Riggio, V. Pugh, C. A. Beveridge, A. J. Brown, H. Hume, D. A. Harris, S. E. Deary, I. J. Tenesa, A. Prendergast, J. G. D. |
author_facet | Wragg, D. Liu, Q. Lin, Z. Riggio, V. Pugh, C. A. Beveridge, A. J. Brown, H. Hume, D. A. Harris, S. E. Deary, I. J. Tenesa, A. Prendergast, J. G. D. |
author_sort | Wragg, D. |
collection | PubMed |
description | The extent to which the impact of regulatory genetic variants may depend on other factors, such as the expression levels of upstream transcription factors, remains poorly understood. Here we report a framework in which regulatory variants are first aggregated into sets, and using these as estimates of the total cis-genetic effects on a gene we model their non-additive interactions with the expression of other genes in the genome. Using 1220 lymphoblastoid cell lines across platforms and independent datasets we identify 74 genes where the impact of their regulatory variant-set is linked to the expression levels of networks of distal genes. We show that these networks are predominantly associated with tumourigenesis pathways, through which immortalised cells are able to rapidly proliferate. We consequently present an approach to define gene interaction networks underlying important cellular pathways such as cell immortalisation. |
format | Online Article Text |
id | pubmed-6969137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69691372020-01-21 Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation Wragg, D. Liu, Q. Lin, Z. Riggio, V. Pugh, C. A. Beveridge, A. J. Brown, H. Hume, D. A. Harris, S. E. Deary, I. J. Tenesa, A. Prendergast, J. G. D. Nat Commun Article The extent to which the impact of regulatory genetic variants may depend on other factors, such as the expression levels of upstream transcription factors, remains poorly understood. Here we report a framework in which regulatory variants are first aggregated into sets, and using these as estimates of the total cis-genetic effects on a gene we model their non-additive interactions with the expression of other genes in the genome. Using 1220 lymphoblastoid cell lines across platforms and independent datasets we identify 74 genes where the impact of their regulatory variant-set is linked to the expression levels of networks of distal genes. We show that these networks are predominantly associated with tumourigenesis pathways, through which immortalised cells are able to rapidly proliferate. We consequently present an approach to define gene interaction networks underlying important cellular pathways such as cell immortalisation. Nature Publishing Group UK 2020-01-17 /pmc/articles/PMC6969137/ /pubmed/31953380 http://dx.doi.org/10.1038/s41467-019-13762-6 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 Wragg, D. Liu, Q. Lin, Z. Riggio, V. Pugh, C. A. Beveridge, A. J. Brown, H. Hume, D. A. Harris, S. E. Deary, I. J. Tenesa, A. Prendergast, J. G. D. Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title | Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title_full | Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title_fullStr | Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title_full_unstemmed | Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title_short | Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
title_sort | using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6969137/ https://www.ncbi.nlm.nih.gov/pubmed/31953380 http://dx.doi.org/10.1038/s41467-019-13762-6 |
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