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Joe Burrage

Researcher at University of Exeter

Publications -  53
Citations -  2432

Joe Burrage is an academic researcher from University of Exeter. The author has contributed to research in topics: DNA methylation & Epigenetics. The author has an hindex of 20, co-authored 42 publications receiving 1713 citations. Previous affiliations of Joe Burrage include University of Edinburgh.

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Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci

TL;DR: Fetal brain mQTLs were enriched amongst risk loci identified in a recent large-scale genome-wide association study (GWAS) of schizophrenia, a severe psychiatric disorder with a hypothesized neurodevelopmental component and can be used to refine GWAS loci through the identification of discrete sites of variable fetal brain methylation associated with schizophrenia risk variants.
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Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins

TL;DR: DNA methylation at sites robustly associated with environmental exposures such as tobacco smoking and obesity is also influenced by additive genetic effects, highlighting the need to control for genetic background in analyses of exposure-associated DNA methylation differences.
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LSH and G9a/GLP complex are required for developmentally programmed DNA methylation

TL;DR: Comparison of Hells(-/-) MEFs with wild-type MEFs and embryonic stem (ES) cells suggests that LSH is important for de novo DNA methylation events that accompany the establishment and differentiation of embryonic lineage cells, and a mechanism whereby LSH promotes binding of DNA methyltransferases and the G9a/GLP complex to specific loci and facilitates developmentally programmedDNA methylation and stable gene silencing during lineage commitment and differentiation is suggested.
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Leveraging DNA methylation quantitative trait loci to characterize the relationship between methylomic variation, gene expression and complex traits

TL;DR: A comprehensive analysis of common genetic variation on DNA methylation (DNAm) by using the Illumina EPIC array to profile samples from the UK Household Longitudinal study is undertaken and the utility of these data for interpreting the functional consequences of common Genetic variation associated with > 60 human traits is demonstrated.