Evidence map›Paper›PMID 22457641›Full record

ArticlePLoS genetics2012

Widespread site-dependent buffering of human regulatory polymorphism.

Matthew T Maurano, Hao Wang, Tanya Kutyavin, John A Stamatoyannopoulos

Abstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
–field-weighted citation impact
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

45 citing papers in PubMed.

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  14. Mother-child transmission of epigenetic information by tunable polymorphic imprinting.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Matthew T MauranoDepartment of Genome Sciences, University of Washington, Seattle, Washington, United States of America.
Hao Wang
Tanya Kutyavin
John A Stamatoyannopoulos

Funding

A Comprehensive catalog of human DNasel hypersensitive sitesU54HG004592 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2007 to 2011
$15.0M
NHGRI NIH HHS U54 HG004592NHGRI NIH HHS U54HG004592
6 · The paper itself

Abstract

The average individual is expected to harbor thousands of variants within non-coding genomic regions involved in gene regulation. However, it is currently not possible to interpret reliably the functional consequences of genetic variation within any given transcription factor recognition sequence. To address this, we comprehensively analyzed heritable genome-wide binding patterns of a major sequence-specific regulator (CTCF) in relation to genetic variability in binding site sequences across a multi-generational pedigree. We localized and quantified CTCF occupancy by ChIP-seq in 12 related and unrelated individuals spanning three generations, followed by comprehensive targeted resequencing of the entire CTCF-binding landscape across all individuals. We identified hundreds of variants with reproducible quantitative effects on CTCF occupancy (both positive and negative). While these effects paralleled protein-DNA recognition energetics when averaged, they were extensively buffered by striking local context dependencies. In the significant majority of cases buffering was complete, resulting in silent variants spanning every position within the DNA recognition interface irrespective of level of binding energy or evolutionary constraint. The prevalence of complex partial or complete buffering effects severely constrained the ability to predict reliably the impact of variation within any given binding site instance. Surprisingly, 40% of variants that increased CTCF occupancy occurred at positions of human-chimp divergence, challenging the expectation that the vast majority of functional regulatory variants should be deleterious. Our results suggest that, even in the presence of "perfect" genetic information afforded by resequencing and parallel studies in multiple related individuals, genomic site-specific prediction of the consequences of individual variation in regulatory DNA will require systematic coupling with empirical functional genomic measurements.

Indexed as

Binding SitesPolymorphism, GeneticTranscription FactorsAllelesAnimalsCCCTC-Binding FactorCell LineDNA-Binding ProteinsGenetic LinkageGenotypeHumansPolymorphism, Single NucleotideRegulatory Sequences, Nucleic AcidRepressor ProteinsCCCTC-Binding FactorCTCF protein, humanDNA-Binding ProteinsRepressor ProteinsTranscription Factors

Identifiers

PMID22457641
PMCPMC3310774

What OpenQuestion holds

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Registered trials

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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.