Evidence map›Paper›PMID 30340504›Full record

Trial reportGenome biology2018

Discovering in vivo cytokine-eQTL interactions from a lupus clinical trial.

Emma E Davenport, Tiffany Amariuta, Maria Gutierrez-Arcelus, Kamil Slowikowski, Harm-Jan Westra, Yang Luo, Ciyue Shen, Deepak A Rao, Ying Zhang, Stephen Pearson and 7 more

Open access · goldAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

32 citing papers in PubMed, 50 citations in OpenAlex.

  1. Trial
  2. Article
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  9. Article
  10. Article
  11. Article
  12. Article
  13. Methods and Insights from Single-Cell Expression Quantitative Trait Loci.Annual review of genomics and human genetics · 2023
    Review
  14. Single-cell genomics meets human genetics.Nature reviews. Genetics · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. A transcriptome atlas and interactive analysis platform for autoimmune disease.Database : the journal of biological databases and curation · 2022
    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

17 authors at 5 institutions in 2 countries.

Emma E DavenportCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.ORCID 0000-0002-8768-346X
Tiffany AmariutaCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Maria Gutierrez-ArcelusCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Kamil SlowikowskiCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Harm-Jan WestraCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Yang LuoCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Ciyue ShenDepartment of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA.
Deepak A RaoDivision of Rheumatology, Allergy, Immunology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Ying ZhangPfizer Inc., Cambridge, MA, 02139, USA.
Stephen PearsonPfizer New Haven Clinical Research Unit, New Haven, CT, 06511, USA.
David von SchackPfizer Inc., Cambridge, MA, 02139, USA.
Jean S BeebePfizer Inc., Cambridge, MA, 02139, USA.
Nan BingPfizer Inc., Cambridge, MA, 02139, USA.
Sally JohnBiogen, Cambridge, MA, 02142, USA.
Michael S VincentPfizer Inc., Cambridge, MA, 02139, USA.
Baohong ZhangPfizer Inc., Cambridge, MA, 02139, USA.
Soumya RaychaudhuriCenter for Data Sciences, Brigham and Women's Hospital, Boston, MA, 02115, USA. soumya@broadinstitute.org.
Broad Institute · USPfizer (United States) · USBiogen (United States) · USBrigham and Women's Hospital · USHarvard University · US

Funding

Metabolomics Core U19AI111224 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI MURRAY, MEGAN B, RAYCHAUDHURI, SOUMYA · 2015 to 2021
$20.4M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Genetic predictors of response to anti-TNF therapy in rheumatoid arthritisU01GM092691 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2010 to 2014
$7.5M
RA-SLE Molecular Deconstruction Leadership CenterUH2AR067677 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI BRENNER, MICHAEL B., RAYCHAUDHURI, SOUMYA · 2014 to 2020
$4.3M
Functionally specialized components of disease heritability in ENCODE dataU01HG009379 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI PRICE, ALKES L, RAYCHAUDHURI, SOUMYA · 2017 to 2021
$2.5M
Transcriptomics in synoviocytes defines pathogenesis of rheumatoid arthritisF31AR070582 · NIAMS · HARVARD MEDICAL SCHOOL · PI SLOWIKOWSKI, KAMIL · 2016 to 2017
$63k
Doris Duke Charitable Foundation #2013097NHGRI NIH HHS T32 HG002295NHGRI NIH HHS U01 HG009379NIAID NIH HHS U19 AI111224NIAMS NIH HHS F31 AR070582NIAMS NIH HHS F31AR070582NIAMS NIH HHS UH2 AR067677NIGMS NIH HHS U01 GM092691NIH HHS U01GM092691, UH2AR067677, U19AI111224
6 · The paper itself

Abstract

backgroundCytokines are critical to human disease and are attractive therapeutic targets given their widespread influence on gene regulation and transcription. Defining the downstream regulatory mechanisms influenced by cytokines is central to defining drug and disease mechanisms. One promising strategy is to use interactions between expression quantitative trait loci (eQTLs) and cytokine levels to define target genes and mechanisms.

resultsIn a clinical trial for anti-IL-6 in patients with systemic lupus erythematosus, we measure interferon (IFN) status, anti-IL-6 drug exposure, and whole blood genome-wide gene expression at three time points. We show that repeat transcriptomic measurements increases the number of cis eQTLs identified compared to using a single time point. We observe a statistically significant enrichment of in vivo eQTL interactions with IFN status and anti-IL-6 drug exposure and find many novel interactions that have not been previously described. Finally, we find transcription factor binding motifs interrupted by eQTL interaction SNPs, which point to key regulatory mediators of these environmental stimuli and therefore potential therapeutic targets for autoimmune diseases. In particular, genes with IFN interactions are enriched for ISRE binding site motifs, while those with anti-IL-6 interactions are enriched for IRF4 motifs.

conclusionsThis study highlights the potential to exploit clinical trial data to discover in vivo eQTL interactions with therapeutically relevant environmental variables.

Indexed as

Gene Expression RegulationCytokinesHumansLupus Erythematosus, SystemicQuantitative Trait LociCytokinesClinical trialsCytokineseQTLInteractions

Identifiers

PMID30340504
PMCPMC6195724
OpenAlexW2950637038

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.