Disease variants alter transcription factor levels and methylation of their binding sites

Marc Jan Bonder, Rene Luijk, Dania V. Zhernakova, Matthijs Moed, Patrick Deelen, Martijn Vermaat, Maarten van Iterson, Freerk van Dijk, Michiel van Galen, Jan Bot, Roderick C. Slieker, P. Mila Jhamai, Michael Verbiest, H. Eka D. Suchiman, Marijn Verkerk, Ruud van der Breggen, Jeroen van Rooij, Nico Lakenberg, Wibowo Arindrarto, Szymon M. KielbasaIris Jonkers, Peter van 't Hof, Irene Nooren, Marian Beekman, Joris Deelen, Diana van Heemst, Alexandra Zhernakova, Ettje F. Tigchelaar, Morris A. Swertz, Albert Hofman, Andre G. Uitterlinden, Rene Pool, Jenny van Dongen, Jouke J. Hottenga, Coen D. A. Stehouwer, Carla J. H. van der Kallen, Casper G. Schalkwijk, Leonard H. van den Berg, Erik W. van Zwet, Hailiang Mei, Yang Li, Mathieu Lemire, Thomas J. Hudson, P. Eline Slagboom, Cisca Wijmenga, Jan H. Veldink, Marleen M. J. van Greevenbroek, Cornelia M. van Duijn, Dorret I. Boomsma, Aaron Isaacs, BIOS Consortium, Bastiaan T. Heijmans*, Lude Franke*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Most disease-associated genetic variants are noncoding, making it challenging to design experiments to understand their functional consequences(1,2). Identification of expression quantitative trait loci (eQTLs) has been a powerful approach to infer the downstream effects of disease-associated variants, but most of these variants remain unexplained(3,4). The analysis of DNA methylation, a key component of the epigenome(5,6), offers highly complementary data on the regulatory potential of genomic regions(7,8). Here we show that disease-associated variants have widespread effects on DNA methylation in trans that likely reflect differential occupancy of trans binding sites by cis-regulated transcription factors. Using multiple omics data sets from 3,841 Dutch individuals, we identified 1,907 established trait-associated SNPs that affect the methylation levels of 10,141 different CpG sites in trans (false discovery rate (FDR) <0.05). These included SNPs that affect both the expression of a nearby transcription factor (such as NFKB1, CTCF and NKX2-3) and methylation of its respective binding site across the genome. Trans methylation QTLs effectively expose the downstream effects of disease-associated variants.

Original languageEnglish
Pages (from-to)131-138
Number of pages8
JournalNature Genetics
Volume49
Issue number1
DOIs
Publication statusPublished - Jan 2017

Keywords

  • GENOME-WIDE ASSOCIATION
  • GENE-EXPRESSION
  • SUSCEPTIBILITY LOCI
  • ARCHITECTURE
  • PROTEINS
  • DNA
  • FAMILY

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