Evidence map›Paper›PMID 37770633›Full record

ArticleNature genetics2023

Multitissue H3K27ac profiling of GTEx samples links epigenomic variation to disease.

Lei Hou, Xushen Xiong, Yongjin Park, Carles Boix, Benjamin James, Na Sun, Liang He, Aman Patel, Zhizhuo Zhang, Benoit Molinie and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Nature genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
10.3field-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

30 citing papers in PubMed, 33 citations in OpenAlex.

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  13. H3K27ac Is Essential for Human Naive Pluripotency Modulated by m6A-Driven EP300 Expression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Review
  15. Improved chromatin QTL mapping with CACTI.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
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  19. Regulatory Plasticity of the Human Genome.Molecular biology and evolution · 2025
    Article
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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

16 authors at 1 institution in 2 countries.

Lei Hou *Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-0540-2706
Xushen Xiong *Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7090-7503
Yongjin ParkComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Carles BoixComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9212-856X
Benjamin JamesComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-6228-055X
Na SunComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Liang HeComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Aman PatelComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Zhizhuo ZhangComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
Benoit MolinieThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Nicholas Van WittenbergheThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Scott SteelmanThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Chad NusbaumThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.
François AguetThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9414-300X
Kristin G ArdlieThe Broad Institute of Harvard and MIT, Cambridge, MA, USA.
Manolis KellisComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. manoli@mit.edu.ORCID http://orcid.org/0000-0001-7113-9630
Broad Institute · US

Funding

Epigenomic, transcriptional and cellular dissection of Alzheimer's variantsR01AG058002 · NIA · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HYMAN, BRADLEY T., JAENISCH, RUDOLF · 2017 to 2021
$7.9M
Single-cell transcriptional and epigenomic dissection of Alzheimer's Disease and Related DementiasU01NS110453 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS, TSAI, LI-HUEI · 2018 to 2020
$4.0M
Epigenomic variation atlas across human tissues and individuals in GTExU01HG007610 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2014 to 2016
$3.0M
Interpreting non-coding variants using epigenomics, regulatory models, & validation experimentsR01HG008155 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2015 to 2017
$2.3M
Network-based prediction and validation of causal schizophrenia genes and variantsR01MH109978 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EGGAN, KEVIN C, KELLIS, MANOLIS · 2016 to 2020
$2.1M
Single Cell Transcriptional and Epigenomic Dissection of Schizophrenia and Bipoloar DiseaseU01MH119509 · NIMH · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KELLIS, MANOLIS · 2019 to 2019
$625k
NHGRI NIH HHS R01 HG008155NHGRI NIH HHS U01 HG007610NIA NIH HHS R01 AG058002NIMH NIH HHS R01 MH109978NIMH NIH HHS U01 MH119509NINDS NIH HHS U01 NS110453
6 · The paper itself

Abstract

Genetic variants associated with complex traits are primarily noncoding, and their effects on gene-regulatory activity remain largely uncharacterized. To address this, we profile epigenomic variation of histone mark H3K27ac across 387 brain, heart, muscle and lung samples from Genotype-Tissue Expression (GTEx). We annotate 282 k active regulatory elements (AREs) with tissue-specific activity patterns. We identify 2,436 sex-biased AREs and 5,397 genetically influenced AREs associated with 130 k genetic variants (haQTLs) across tissues. We integrate genetic and epigenomic variation to provide mechanistic insights for disease-associated loci from 55 genome-wide association studies (GWAS), by revealing candidate tissues of action, driver SNPs and impacted AREs. Lastly, we build ARE-gene linking scores based on genetics (gLink scores) and demonstrate their unique ability to prioritize SNP-ARE-gene circuits. Overall, our epigenomic datasets, computational integration and mechanistic predictions provide valuable resources and important insights for understanding the molecular basis of human diseases/traits such as schizophrenia.

Indexed as

EpigenomicsGenome-Wide Association StudyGene Regulatory NetworksGenetic Predisposition to DiseaseGenotypeHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID37770633
PMCPMC10562256
OpenAlexW4387141510

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.