Evidence map›Paper›PMID 26502339›Full record

ArticleNature genetics2015

Large-scale identification of sequence variants influencing human transcription factor occupancy in vivo.

Matthew T Maurano, Eric Haugen, Richard Sandstrom, Jeff Vierstra, Anthony Shafer, Rajinder Kaul, John A Stamatoyannopoulos

Erratum issuedAbstract read
In one paragraph

Article in Nature genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 149 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
149citing papers in PubMed, 1 pooled it
14.8field-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

149 citing papers in PubMed, 1 synthesis or guideline pooled it, 249 citations in OpenAlex.

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89 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Matthew T MauranoDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Eric HaugenDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-7444-8981
Richard SandstromDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0002-3356-1547
Jeff VierstraDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.ORCID http://orcid.org/0000-0001-6406-8563
Anthony ShaferDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
Rajinder KaulDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
John A StamatoyannopoulosDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

A Comprehensive catalog of human DNasel hypersensitive sitesU54HG004592 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2007 to 2011
$15.0M
A Comprehensive Catalog of Dnasel Hypersensitive SitesU54HG007010 · NHGRI · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2012 to 2016
$12.4M
Northwest Reference Epigenome Mapping CenterU01ES017156 · NIEHS · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2008 to 2014
$10.0M
Illumina HiSeq 2500 SequencerS10OD017999 · OD · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2014 to 2014
$600k
Applied Biosystems SOLiD 3 SystemS10RR026770 · NCRR · UNIVERSITY OF WASHINGTON · PI STAMATOYANNOPOULOS, JOHN A · 2010 to 2010
$437k
Regulatory Genomics of Human NeurodevelopmentF31MH094073 · NIMH · UNIVERSITY OF WASHINGTON · PI MAURANO, MATTHEW THOMAS · 2012 to 2013
$48k
NCRR NIH HHS 1S10RR026770NCRR NIH HHS S10 RR026770NHGRI NIH HHS U54 HG004592NHGRI NIH HHS U54HG004592NHGRI NIH HHS U54 HG007010NHGRI NIH HHS U54HG007010NIEHS NIH HHS U01ES01156NIEHS NIH HHS U01 ES017156NIH HHS 1S10OD01799NIH HHS S10 OD017999NIMH NIH HHS F31 MH094073NIMH NIH HHS F31MH094073
6 · The paper itself

Abstract

The function of human regulatory regions depends exquisitely on their local genomic environment and on cellular context, complicating experimental analysis of common disease- and trait-associated variants that localize within regulatory DNA. We use allelically resolved genomic DNase I footprinting data encompassing 166 individuals and 114 cell types to identify >60,000 common variants that directly influence transcription factor occupancy and regulatory DNA accessibility in vivo. The unprecedented scale of these data enables systematic analysis of the impact of sequence variation on transcription factor occupancy in vivo. We leverage this analysis to develop accurate models of variation affecting the recognition sites for diverse transcription factors and apply these models to discriminate nearly 500,000 common regulatory variants likely to affect transcription factor occupancy across the human genome. The approach and results provide a new foundation for the analysis and interpretation of noncoding variation in complete human genomes and for systems-level investigation of disease-associated variants.

Indexed as

Gene Expression RegulationChromatinGenetic VariationGenome, HumanGenomicsHumansPhenotypePolymorphism, Single NucleotidePromoter Regions, GeneticProtein BindingRegulatory Elements, TranscriptionalTranscription FactorsChromatinTranscription Factors

Identifiers

PMID26502339
PMCPMC4666772
OpenAlexW2185560378

What OpenQuestion holds

Textmetadata
LicenceTDM
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.