Evidence map›Paper›PMID 33980847›Full record

ArticleNature communications2021

Landscape of allele-specific transcription factor binding in the human genome.

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 and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
15.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 194 citations in OpenAlex.

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  7. ModelingbioRxiv : the preprint server for biology · 2026
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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 2 countries.

Sergey Abramov *Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.ORCID 0000-0002-3334-5334
Alexandr Boytsov *Institute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.ORCID 0000-0002-2712-8368
Daria BykovaFaculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia.
Dmitry D PenzarInstitute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.
Ivan YevshinFederal Research Center for Information and Computational Technologies, Novosibirsk, Russia.
Semyon K KolmykovFederal Research Center for Information and Computational Technologies, Novosibirsk, Russia.
Marina V FridmanVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.
Alexander V FavorovVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-2595-1091
Ilya E VorontsovInstitute of Protein Research, Russian Academy of Sciences, Pushchino, Russia.ORCID 0000-0001-8888-0804
Eugene BaulinMoscow Institute of Physics and Technology, Dolgoprudny, Russia.ORCID 0000-0003-4694-9783
Fedor KolpakovFederal Research Center for Information and Computational Technologies, Novosibirsk, Russia.ORCID 0000-0002-0396-0256
Vsevolod J MakeevVavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia. vsevolod.makeev@vigg.ru.ORCID 0000-0001-9405-9748
Ivan V KulakovskiyInstitute of Protein Research, Russian Academy of Sciences, Pushchino, Russia. ivan.kulakovskiy@gmail.com.ORCID 0000-0002-6554-8128
Moscow Institute of Physics and Technology · RUSirius University of Science and Technology · RUEngelhardt Institute of Molecular Biology · RUInstitute of Protein Research · RUJohns Hopkins University · USLomonosov Moscow State University · RUVavilov Institute of General Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AllelesGenome, HumanChromatinDatabases, GeneticGene DosageGene Expression RegulationGenome-Wide Association StudyHumansNucleotide MotifsPhenotypePolymorphism, Single NucleotideProtein BindingQuantitative Trait LociRegulatory Sequences, Nucleic AcidTranscription FactorsChromatinTranscription Factors

Identifiers

PMID33980847
PMCPMC8115691
OpenAlexW3161754181

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.