Evidence map›Paper›PMID 31779666›Full record

ArticleGenome biology2019

Common DNA sequence variation influences 3-dimensional conformation of the human genome.

David U Gorkin, Yunjiang Qiu, Ming Hu, Kipper Fletez-Brant, Tristin Liu, Anthony D Schmitt, Amina Noor, Joshua Chiou, Kyle J Gaulton, Jonathan Sebat and 3 more

Abstract read
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. bioRxiv : the preprint server for biology · 2025
    Article
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  12. Review
  13. Article
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  15. Article
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  18. Article
  19. Cell genomics · 2023
    Article
  20. Article
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

13 authors.

David U GorkinLudwig Institute for Cancer Research, La Jolla, CA, USA.
Yunjiang QiuLudwig Institute for Cancer Research, La Jolla, CA, USA.
Ming HuDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USA. hum@ccf.org.
Kipper Fletez-BrantMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Tristin LiuLudwig Institute for Cancer Research, La Jolla, CA, USA.
Anthony D SchmittLudwig Institute for Cancer Research, La Jolla, CA, USA.
Amina NoorDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Joshua ChiouDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Kyle J GaultonDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Jonathan SebatDepartment of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
Yun LiDepartment of Genetics, Department of Biostatistics, and Department of Computer Science, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA.
Kasper D HansenMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Bing RenLudwig Institute for Cancer Research, La Jolla, CA, USA. biren@ucsd.edu.ORCID 0000-0002-5435-1127

Funding

An Integrative Analysis of Structural Variation for the 1000 Genomes ProjectU41HG007497 · NHGRI · JACKSON LABORATORY · PI LEE, CHARLES · 2013 to 2017
$13.0M
San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI MURRE, CORNELIS, REN, BING · 2015 to 2019
$9.4M
Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Genetic Studies of Blood Cell Traits in Multi-Ethnic CohortsR01HL129132 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN, REINER, ALEXANDER P · 2016 to 2019
$2.7M
Analysis of genomics datasets at a massive scaleR01GM121459 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HANSEN, KASPER DANIEL · 2017 to 2021
$2.3M
NHGRI NIH HHS U41 HG007497NIDDK NIH HHS U54 DK107977NIGMS NIH HHS R01 GM121459NIGMS NIH HHS T32 GM008666NIH HHS U54DK107977
6 · The paper itself

Abstract

backgroundThe 3-dimensional (3D) conformation of chromatin inside the nucleus is integral to a variety of nuclear processes including transcriptional regulation, DNA replication, and DNA damage repair. Aberrations in 3D chromatin conformation have been implicated in developmental abnormalities and cancer. Despite the importance of 3D chromatin conformation to cellular function and human health, little is known about how 3D chromatin conformation varies in the human population, or whether DNA sequence variation between individuals influences 3D chromatin conformation.

resultsTo address these questions, we perform Hi-C on lymphoblastoid cell lines from 20 individuals. We identify thousands of regions across the genome where 3D chromatin conformation varies between individuals and find that this variation is often accompanied by variation in gene expression, histone modifications, and transcription factor binding. Moreover, we find that DNA sequence variation influences several features of 3D chromatin conformation including loop strength, contact insulation, contact directionality, and density of local cis contacts. We map hundreds of quantitative trait loci associated with 3D chromatin features and find evidence that some of these same variants are associated at modest levels with other molecular phenotypes as well as complex disease risk.

conclusionOur results demonstrate that common DNA sequence variants can influence 3D chromatin conformation, pointing to a more pervasive role for 3D chromatin conformation in human phenotypic variation than previously recognized.

Indexed as

Base SequenceGenetic VariationGenome, HumanNucleic Acid ConformationEpigenomeHumansQuantitative Trait LociTranscriptome

Identifiers

PMID31779666
PMCPMC6883528

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.