Evidence map›Paper›PMID 30575519›Full record

ArticleeLife2018

Genome-wide quantification of the effects of DNA methylation on human gene regulation.

Amanda J Lea, Christopher M Vockley, Rachel A Johnston, Christina A Del Carpio, Luis B Barreiro, Timothy E Reddy, Jenny Tung

Open access · goldAbstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

86 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Pooled it
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  11. Quantifying the impact of genetic mutations on enhancer dynamics.bioRxiv : the preprint server for biology · 2025
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  20. Associations between relative abundances ofFrontiers in microbiology · 2025
    Article

26 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

7 authors at 4 institutions in 3 countries.

Amanda J LeaDepartment of Biology, Duke University, North Carolina, United States.ORCID 0000-0002-8827-2750
Christopher M VockleyCenter for Genomic and Computational Biology, Duke University Medical School, North Carolina, United States.
Rachel A JohnstonDepartment of Evolutionary Anthropology, Duke University, North Carolina, United States.
Christina A Del CarpioDepartment of Evolutionary Anthropology, Duke University, North Carolina, United States.
Luis B BarreiroDepartment of Pediatrics, Sainte-Justine Hospital Research Centre, University of Montreal, Montreal, Canada.
Timothy E ReddyCenter for Genomic and Computational Biology, Duke University Medical School, North Carolina, United States.ORCID 0000-0002-7629-061X
Jenny TungDepartment of Biology, Duke University, North Carolina, United States.ORCID 0000-0003-0416-2958
Duke University · USBroad Institute · USUniversity of California, Los Angeles · USUniversity of Chicago · US

Funding

Decoding and Reprogramming the Corticosteroid Transcriptional Regulatory NetworkU01HG007900 · NHGRI · DUKE UNIVERSITY · PI REDDY, TIMOTHY E · 2015 to 2017
$5.9M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
Regulatory Mechanisms of CD4+ T Cell DifferentiationUM1HG009428 · NHGRI · DUKE UNIVERSITY · PI CIOFANI, MARIA, CRAWFORD, GREGORY E · 2017 to 2021
$4.6M
Supplement to AG057235: Stress and the Genome: Testing the Impact of Social Effects on Gene RegulationR01AG057235 · NIA · DUKE UNIVERSITY · PI BARREIRO, LUIS BRUNO, MICHOPOULOS, VASILIKI · 2017 to 2021
$2.9M
Stress and the Genome: Testing the Impact of Social Effects on Gene RegulationR01GM102562 · NIGMS · DUKE UNIVERSITY · PI BARREIRO, LUIS BRUNO, TUNG, JENNY · 2012 to 2016
$2.8M
Early adversity and DNA methylation in a primate model of stress and development.R01HD088558 · NICHD · DUKE UNIVERSITY · PI TUNG, JENNY · 2017 to 2021
$2.0M
Data commons for 'omic, microscopy and analysis core facilitiesS10OD018164 · OD · DUKE UNIVERSITY · PI WRAY, GREGORY A. · 2014 to 2014
$598k
Epigenetic Consequences of Social Status across the Life Span in a Primate ModelR21AG049936 · NIA · DUKE UNIVERSITY · PI ALBERTS, SUSAN C., TUNG, JENNY · 2014 to 2015
$319k
Quantifying the genome-wide functional consequences of DNA methylation associated with early life adversity.F32HD095616 · NICHD · DUKE UNIVERSITY · PI JOHNSTON, RACHEL ANN · 2018 to 2020
$185k
Testing novel models of glucocorticoid-induced transcription regulationF31HL129743 · NHLBI · DUKE UNIVERSITY · PI VOCKLEY, CHRISTOPHER · 2015 to 2015
$34k
NHGRI NIH HHS U01 HG007900NHGRI NIH HHS UM1 HG009428NHLBI NIH HHS F31 HL129743NIA NIH HHS R01 AG057235NIA NIH HHS R21 AG049936NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD088558NIGMS NIH HHS R01 GM102562NIH HHS S10 OD018164
6 · The paper itself

Abstract

Changes in DNA methylation are involved in development, disease, and the response to environmental conditions. However, not all regulatory elements are functionally methylation-dependent (MD). Here, we report a method, mSTARR-seq, that assesses the causal effects of DNA methylation on regulatory activity at hundreds of thousands of fragments (millions of CpG sites) simultaneously. Using mSTARR-seq, we identify thousands of MD regulatory elements in the human genome. MD activity is partially predictable using sequence and chromatin state information, and distinct transcription factors are associated with higher activity in unmethylated versus methylated DNA. Further, pioneer TFs linked to higher activity in the methylated state appear to drive demethylation of experimentally methylated sites. MD regulatory elements also predict methylation-gene expression relationships across individuals, where they are 1.6x enriched among sites with strong negative correlations. mSTARR-seq thus provides a map of MD regulatory activity in the human genome and facilitates interpretation of differential methylation studies.

Indexed as

DNA MethylationEpigenesis, GeneticGenome, HumanChromatinComputational BiologyCpG IslandsHigh-Throughput Nucleotide SequencingHumansK562 CellsRegulatory Sequences, Nucleic AcidSequence Analysis, DNATranscription FactorsChromatinTranscription FactorsDNA methylationepigenomicsgeneticsgenomicshigh-throughput reporter assayhuman

Identifiers

PMID30575519
PMCPMC6303109
OpenAlexW2952255603

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.