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

  • Marc Jan Bonder
  • , René Luijk
  • , Daria 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 Kielbasa
  • Iris Jonkers, Peter van 't Hof, Irene Nooren, Marian Beekman, Joris Deelen, Diana van Heemst, Alexandra Zhernakova, Ettje F Tigchelaar, Morris A Swertz, Albert Hofman, André G Uitterlinden, René 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,

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Most disease-associated genetic variants are noncoding, making it challenging to design experiments to understand their functional consequences. 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. The analysis of DNA methylation, a key component of the epigenome, offers highly complementary data on the regulatory potential of genomic regions. 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

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