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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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