Projects per year
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.
Original language | English |
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Article number | 343 |
Journal | Nature Communications |
Volume | 11 |
Issue number | 1 |
DOIs | |
Publication status | Published - 17 Jan 2020 |
Keywords / Materials (for Non-textual outputs)
- gene expression
- gene regulation
- genetic interaction
- haplotypes
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Dive into the research topics of 'Using regulatory variants to detect gene-gene interactions identifies networks of genes linked to cell immortalization'. Together they form a unique fingerprint.Projects
- 3 Finished
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The Disconnected Mind Phase 3
Cox, S. (Principal Investigator) & Deary, I. (Co-investigator)
1/04/16 → 31/03/23
Project: Research
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RA2665 Centre for Cognitive Ageing and Cognitive Epidemiology Phase 2.
Wardlaw, J. (Principal Investigator)
1/09/13 → 31/08/19
Project: Research
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A genome wide association study of non pathological cognitive ageing
Deary, I. (Principal Investigator), Porteous, D. (Co-investigator) & Tenesa, A. (Co-investigator)
1/09/08 → 31/08/10
Project: Research
Profiles
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James Prendergast
- Royal (Dick) School of Veterinary Studies - Personal Chair of Bioinformatics
Person: Academic: Research Active