Evidence map›Paper›PMID 31961859›Full record

ArticlePLoS genetics2020

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation.

Gregory R Keele, Bryan C Quach, Jennifer W Israel, Grace A Chappell, Lauren Lewis, Alexias Safi, Jeremy M Simon, Paul Cotney, Gregory E Crawford, William Valdar and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.6field-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

34 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
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  9. Fibroblasts as an in vitro model of circadian genetic and genomic studies.Mammalian genome : official journal of the International Mammalian Genome Society · 2024
    Article
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  18. Technologies, strategies, and cautions when deconvoluting genome-wide association signals: FTO in focus.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023
    Review
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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

12 authors at 3 institutions in 1 country.

Gregory R KeeleCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-1843-7900
Bryan C QuachCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-1094-3104
Jennifer W IsraelDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-8574-0937
Grace A ChappellDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0002-7543-8336
Lauren LewisDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, United States of America.
Alexias SafiDepartment of Pediatrics, Duke University, Durham, North Carolina, United States of America.
Jeremy M SimonDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-3906-1663
Paul CotneyDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0003-1471-2423
Gregory E CrawfordDepartment of Pediatrics, Duke University, Durham, North Carolina, United States of America.
William ValdarDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-2419-0430
Ivan RusynDepartment of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0001-9340-7384
Terrence S FureyDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-5546-9672
University of North Carolina at Chapel Hill · USTexas A&M University · USDuke University · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
Chromatin regions, genes and pathways that confer susceptibility to chemical-induced DNA damageR01ES029911 · NIEHS · TEXAS A&M AGRILIFE RESEARCH · PI RUSYN, IVAN, THREADGILL, DAVID W. · 2019 to 2023
$3.3M
Statistical Modeling of Multiparental and Genetic Reference PopulationsR35GM127000 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Valdar · 2018 to 2026
$3.1M
Genes, genomes, and genotoxicity: in vivo epigenetic toxicology of 1,3-butadieneR01ES023195 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CRAWFORD, GREGORY E, FUREY, TERRENCE S. · 2013 to 2016
$2.2M
Statistical Modeling of Complex Traits in Genetic Reference Super-PopulationsR01GM104125 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VALDAR, WILLIAM · 2012 to 2016
$1.2M
NCI NIH HHS P30 CA016086NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30 ES025128NIEHS NIH HHS R01 ES023195NIEHS NIH HHS R01 ES029911NIGMS NIH HHS R01 GM104125NIGMS NIH HHS R35 GM127000
6 · The paper itself

Abstract

Gene transcription profiles across tissues are largely defined by the activity of regulatory elements, most of which correspond to regions of accessible chromatin. Regulatory element activity is in turn modulated by genetic variation, resulting in variable transcription rates across individuals. The interplay of these factors, however, is poorly understood. Here we characterize expression and chromatin state dynamics across three tissues-liver, lung, and kidney-in 47 strains of the Collaborative Cross (CC) mouse population, examining the regulation of these dynamics by expression quantitative trait loci (eQTL) and chromatin QTL (cQTL). QTL whose allelic effects were consistent across tissues were detected for 1,101 genes and 133 chromatin regions. Also detected were eQTL and cQTL whose allelic effects differed across tissues, including local-eQTL for Pik3c2g detected in all three tissues but with distinct allelic effects. Leveraging overlapping measurements of gene expression and chromatin accessibility on the same mice from multiple tissues, we used mediation analysis to identify chromatin and gene expression intermediates of eQTL effects. Based on QTL and mediation analyses over multiple tissues, we propose a causal model for the distal genetic regulation of Akr1e1, a gene involved in glycogen metabolism, through the zinc finger transcription factor Zfp985 and chromatin intermediates. This analysis demonstrates the complexity of transcriptional and chromatin dynamics and their regulation over multiple tissues, as well as the value of the CC and related genetic resource populations for identifying specific regulatory mechanisms within cells and tissues.

Indexed as

Chromatin Assembly and DisassemblyQuantitative Trait LociAnimalsChromatinKidneyKruppel-Like Transcription FactorsLiverLungMaleMiceOrgan SpecificityPhosphatidylinositol 3-KinasesChromatinKruppel-Like Transcription FactorsPhosphatidylinositol 3-KinasesPik3c2g protein, mouse

Identifiers

PMID31961859
PMCPMC7010298
OpenAlexW3002931708

What Socratic 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 Socratic graph.