Evidence map›Paper›PMID 31253979›Full record

ArticleNature genetics2019

High-throughput identification of human SNPs affecting regulatory element activity.

Joris van Arensbergen, Ludo Pagie, Vincent D FitzPatrick, Marcel de Haas, Marijke P Baltissen, Federico Comoglio, Robin H van der Weide, Hans Teunissen, Urmo Võsa, Lude Franke and 4 more

Abstract read
In one paragraph

Article in Nature genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed, 1 pooled it
–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

127 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Genome-wide rules of transcription factor cooperativity revealed throughbioRxiv : the preprint server for biology · 2025
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67 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

14 authors.

Joris van ArensbergenDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands. joris.van.arensbergen@gmail.com.ORCID http://orcid.org/0000-0001-9479-1066
Ludo PagieDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Vincent D FitzPatrickDepartment of Biological Sciences, Columbia University, New York, NY, USA.
Marcel de HaasDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Marijke P BaltissenDepartment of Molecular Biology, Oncode Institute, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, Nijmegen, the Netherlands.
Federico ComoglioDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Robin H van der WeideDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Hans TeunissenDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.
Urmo VõsaDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Lude FrankeDepartment of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
Elzo de WitDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-2883-1415
Michiel VermeulenDepartment of Molecular Biology, Oncode Institute, Radboud Institute for Molecular Life Sciences, Radboud University Nijmegen, Nijmegen, the Netherlands.ORCID http://orcid.org/0000-0003-0836-6894
Harmen J BussemakerDepartment of Biological Sciences, Columbia University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7274-5277
Bas van SteenselDivision of Gene Regulation, Oncode Institute, Netherlands Cancer Institute, Amsterdam, the Netherlands. b.v.steensel@nki.nl.ORCID http://orcid.org/0000-0002-0284-0404

Funding

Inferring regulatory circuitry from microarray dataR01HG003008 · NHGRI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI BUSSEMAKER, HARMEN J · 2004 to 2020
$7.0M
European Research Council 694466NHGRI NIH HHS R01 HG003008
6 · The paper itself

Abstract

Most of the millions of SNPs in the human genome are non-coding, and many overlap with putative regulatory elements. Genome-wide association studies (GWAS) have linked many of these SNPs to human traits or to gene expression levels, but rarely with sufficient resolution to identify the causal SNPs. Functional screens based on reporter assays have previously been of insufficient throughput to test the vast space of SNPs for possible effects on regulatory element activity. Here we leveraged the throughput and resolution of the survey of regulatory elements (SuRE) reporter technology to survey the effect of 5.9 million SNPs, including 57% of the known common SNPs, on enhancer and promoter activity. We identified more than 30,000 SNPs that alter the activity of putative regulatory elements, partially in a cell-type-specific manner. Integration of this dataset with GWAS results may help to pinpoint SNPs that underlie human traits.

Indexed as

Genetic Predisposition to DiseaseGenome, HumanPolymorphism, Single NucleotideRegulatory Elements, TranscriptionalGenome-Wide Association StudyHep G2 CellsHigh-Throughput Nucleotide SequencingHumansK562 CellsPhenotypeQuantitative Trait LociTranscription FactorsTranscription Factors

Identifiers

PMID31253979
PMCPMC6609452

What OpenQuestion holds

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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.