Author
Listed:
- Sergey Abramov
(Russian Academy of Sciences
Russian Academy of Sciences
Moscow Institute of Physics and Technology)
- Alexandr Boytsov
(Russian Academy of Sciences
Russian Academy of Sciences
Moscow Institute of Physics and Technology)
- Daria Bykova
(Lomonosov Moscow State University)
- Dmitry D. Penzar
(Russian Academy of Sciences
Russian Academy of Sciences
Moscow Institute of Physics and Technology
Lomonosov Moscow State University)
- Ivan Yevshin
(Federal Research Center for Information and Computational Technologies
Sirius University of Science and Technology
BIOSOFT.RU LLC)
- Semyon K. Kolmykov
(Federal Research Center for Information and Computational Technologies
Sirius University of Science and Technology
BIOSOFT.RU LLC)
- Marina V. Fridman
(Russian Academy of Sciences)
- Alexander V. Favorov
(Russian Academy of Sciences
Johns Hopkins University School of Medicine)
- Ilya E. Vorontsov
(Russian Academy of Sciences
Russian Academy of Sciences)
- Eugene Baulin
(Moscow Institute of Physics and Technology
Institute of Mathematical Problems of Biology RAS—The Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences)
- Fedor Kolpakov
(Federal Research Center for Information and Computational Technologies
Sirius University of Science and Technology
BIOSOFT.RU LLC)
- Vsevolod J. Makeev
(Russian Academy of Sciences
Moscow Institute of Physics and Technology
State Research Institute of Genetics and Selection of Industrial Microorganisms of the National Research Center Kurchatov Institute
Russian Academy of Sciences)
- Ivan V. Kulakovskiy
(Russian Academy of Sciences
Russian Academy of Sciences
Russian Academy of Sciences)
Abstract
Sequence variants in gene regulatory regions alter gene expression and contribute to phenotypes of individual cells and the whole organism, including disease susceptibility and progression. Single-nucleotide variants in enhancers or promoters may affect gene transcription by altering transcription factor binding sites. Differential transcription factor binding in heterozygous genomic loci provides a natural source of information on such regulatory variants. We present a novel approach to call the allele-specific transcription factor binding events at single-nucleotide variants in ChIP-Seq data, taking into account the joint contribution of aneuploidy and local copy number variation, that is estimated directly from variant calls. We have conducted a meta-analysis of more than 7 thousand ChIP-Seq experiments and assembled the database of allele-specific binding events listing more than half a million entries at nearly 270 thousand single-nucleotide polymorphisms for several hundred human transcription factors and cell types. These polymorphisms are enriched for associations with phenotypes of medical relevance and often overlap eQTLs, making candidates for causality by linking variants with molecular mechanisms. Specifically, there is a special class of switching sites, where different transcription factors preferably bind alternative alleles, thus revealing allele-specific rewiring of molecular circuitry.
Suggested Citation
Sergey Abramov & Alexandr Boytsov & Daria Bykova & Dmitry D. Penzar & Ivan Yevshin & Semyon K. Kolmykov & Marina V. Fridman & Alexander V. Favorov & Ilya E. Vorontsov & Eugene Baulin & Fedor Kolpakov , 2021.
"Landscape of allele-specific transcription factor binding in the human genome,"
Nature Communications, Nature, vol. 12(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23007-0
DOI: 10.1038/s41467-021-23007-0
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Citations
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Cited by:
- Timothy D. Arthur & Jennifer P. Nguyen & Agnieszka D’Antonio-Chronowska & Hiroko Matsui & Nayara S. Silva & Isaac N. Joshua & André D. Luchessi & William W. Young Greenwald & Matteo D’Antonio & Martin, 2024.
"Complex regulatory networks influence pluripotent cell state transitions in human iPSCs,"
Nature Communications, Nature, vol. 15(1), pages 1-19, December.
- Tian Zhou & Xinyi Zhu & Zhizhong Ye & Yong-Fei Wang & Chao Yao & Ning Xu & Mi Zhou & Jianyang Ma & Yuting Qin & Yiwei Shen & Yuanjia Tang & Zhihua Yin & Hong Xu & Yutong Zhang & Xiaoli Zang & Huihua D, 2022.
"Lupus enhancer risk variant causes dysregulation of IRF8 through cooperative lncRNA and DNA methylation machinery,"
Nature Communications, Nature, vol. 13(1), pages 1-16, December.
- Sourya Bhattacharyya & Ferhat Ay, 2024.
"Identifying genetic variants associated with chromatin looping and genome function,"
Nature Communications, Nature, vol. 15(1), pages 1-22, December.
- Devesh Bhimsaria & José A. Rodríguez-Martínez & Jacqui L. Mendez-Johnson & Debostuti Ghoshdastidar & Ashwin Varadarajan & Manju Bansal & Danette L. Daniels & Parameswaran Ramanathan & Aseem Z. Ansari, 2023.
"Hidden modes of DNA binding by human nuclear receptors,"
Nature Communications, Nature, vol. 14(1), pages 1-16, December.
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