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

Bonder, M. J., Luijk, R., Zhernakova, D. V., Moed, M., Deelen, P., Vermaat, M., et al. (2016). Disease variants alter transcription factor levels and methylation of their binding sites. Nat Genet, 49(1), 131-138. doi:10.1038/ng.3721.

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Bonder, M. J., Author
Luijk, R., Author
Zhernakova, D. V., Author
Moed, M., Author
Deelen, P., Author
Vermaat, M., Author
van Iterson, M., Author
van Dijk, F., Author
van Galen, M., Author
Bot, J., Author
Slieker, R. C., Author
Jhamai, P. M., Author
Verbiest, M., Author
Suchiman, H. E., Author
Verkerk, M., Author
van der Breggen, R., Author
van Rooij, J., Author
Lakenberg, N., Author
Arindrarto, W., Author
Kielbasa, S. M., Author
Jonkers, I., Authorvan 't Hof, P., AuthorNooren, I., AuthorBeekman, M., AuthorDeelen, J.1, Author           van Heemst, D., AuthorZhernakova, A., AuthorTigchelaar, E. F., AuthorSwertz, M. A., AuthorHofman, A., AuthorUitterlinden, A. G., AuthorPool, R., Authorvan Dongen, J., AuthorHottenga, J. J., AuthorStehouwer, C. D., Authorvan der Kallen, C. J., AuthorSchalkwijk, C. G., Authorvan den Berg, L. H., Authorvan Zwet, E. W., AuthorMei, H., AuthorLi, Y., AuthorLemire, M., AuthorHudson, T. J., AuthorConsortium, Bios, AuthorSlagboom, P. E., Author           Wijmenga, C., AuthorVeldink, J. H., Authorvan Greevenbroek, M. M., Authorvan Duijn, C. M., AuthorBoomsma, D. I., AuthorIsaacs, A., AuthorJansen, R., Authorvan Meurs, J. B., Authort Hoen, P. A., AuthorFranke, L., AuthorHeijmans, B. T., Author more..
Affiliations:
1Deelen – Genetics and Biomarkers of Human Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_3394006              

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Free keywords: Binding Sites Cohort Studies *DNA Methylation Disease/*genetics Female *Gene Expression Regulation Genome, Human Genome-Wide Association Study Humans Male Middle Aged Phenotype Polymorphism, Single Nucleotide/*genetics *Quantitative Trait Loci Transcription Factors/*metabolism
 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.

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 Dates: 2017-012016-12-06
 Publication Status: Issued
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 Identifiers: Other: 27918535
DOI: 10.1038/ng.3721
ISSN: 1546-1718 (Electronic)1061-4036 (Linking)
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Title: Nat Genet
Source Genre: Journal
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Pages: - Volume / Issue: 49 (1) Sequence Number: - Start / End Page: 131 - 138 Identifier: -