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Using regulatory variants to detect gene–gene interactions identifies networks of genes linked to cell immortalisation.

Authors :
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.
Source :
Nature Communications; 1/17/2020, Vol. 11 Issue 1, p1-14, 14p
Publication Year :
2020

Abstract

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. For most human genes nearby regulatory variants explain only a small proportion of their expression variation between individuals. Here the authors show how the impact of a gene's set of nearby regulatory variant is often linked to the expression levels of distal genes, providing insights into gene networks. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
141253265
Full Text :
https://doi.org/10.1038/s41467-019-13762-6