Evidence map›Paper›PMID 28814792›Full record

ArticleNature communications2017

Genetic regulatory effects modified by immune activation contribute to autoimmune disease associations.

Sarah Kim-Hellmuth, Matthias Bechheim, Benno Pütz, Pejman Mohammadi, Yohann Nédélec, Nicholas Giangreco, Jessica Becker, Vera Kaiser, Nadine Fricker, Esther Beier and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Trial
  2. Article
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  4. Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026
    Article
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63 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

19 authors.

Sarah Kim-HellmuthNew York Genome Center, New York, NY, 10013, USA. skim@nygenome.org.ORCID http://orcid.org/0000-0001-8791-5729
Matthias BechheimInstitute of Molecular Medicine, University of Bonn, Bonn, 53127, Germany.
Benno PützStatistical Genetics, Max Planck Institute of Psychiatry, Munich, 80804, Germany.
Pejman MohammadiNew York Genome Center, New York, NY, 10013, USA.ORCID http://orcid.org/0000-0003-4457-8552
Yohann NédélecDepartment of Genetics, CHU Sainte-Justine Research Center, Montreal, Canada, H3T 1C5.
Nicholas GiangrecoDepartment of Systems Biology, Columbia University, New York, NY, 10032, USA.
Jessica BeckerInstitute of Human Genetics, University of Bonn, Bonn, 53127, Germany.
Vera KaiserInstitute of Molecular Medicine, University of Bonn, Bonn, 53127, Germany.
Nadine FrickerInstitute of Human Genetics, University of Bonn, Bonn, 53127, Germany.
Esther BeierInstitute of Molecular Medicine, University of Bonn, Bonn, 53127, Germany.
Peter BoorInstitute of Pathology and Department of Nephrology, University Clinic of RWTH Aachen, Aachen, 52074, Germany.ORCID http://orcid.org/0000-0001-9921-4284
Stephane E CastelNew York Genome Center, New York, NY, 10013, USA.
Markus M NöthenInstitute of Human Genetics, University of Bonn, Bonn, 53127, Germany.
Luis B BarreiroDepartment of Genetics, CHU Sainte-Justine Research Center, Montreal, Canada, H3T 1C5.
Joseph K PickrellNew York Genome Center, New York, NY, 10013, USA.
Bertram Müller-MyhsokStatistical Genetics, Max Planck Institute of Psychiatry, Munich, 80804, Germany.
Tuuli LappalainenNew York Genome Center, New York, NY, 10013, USA. tlappalainen@nygenome.org.
Johannes SchumacherInstitute of Human Genetics, University of Bonn, Bonn, 53127, Germany. johannes.schumacher@uni-bonn.de.
Veit HornungInstitute of Molecular Medicine, University of Bonn, Bonn, 53127, Germany.

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
PAGES: Physical Activity Genomics, Epigenomics/transcriptomics SiteU24DK112331 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI STUART C. SEALFON, Martin John Walsh · 2017 to 2026
$18.5M
Statistical models for fine-mapping and interpretation of schizophrenia-associated lociR01MH106842 · NIMH · NEW YORK GENOME CENTER · PI BUSSEMAKER, HARMEN J, LAPPALAINEN, TUULI · 2015 to 2024
$5.0M
European Research CouncilNHGRI NIH HHS UM1 HG008901NHLBI NIH HHS HHSN268201000002CNHLBI NIH HHS HHSN268201000009CNHLBI NIH HHS HHSN268201000029CNIDDK NIH HHS U24 DK112331NIMH NIH HHS R01 MH106842
6 · The paper itself

Abstract

The immune system plays a major role in human health and disease, and understanding genetic causes of interindividual variability of immune responses is vital. Here, we isolate monocytes from 134 genotyped individuals, stimulate these cells with three defined microbe-associated molecular patterns (LPS, MDP, and 5'-ppp-dsRNA), and profile the transcriptomes at three time points. Mapping expression quantitative trait loci (eQTL), we identify 417 response eQTLs (reQTLs) with varying effects between conditions. We characterize the dynamics of genetic regulation on early and late immune response and observe an enrichment of reQTLs in distal cis-regulatory elements. In addition, reQTLs are enriched for recent positive selection with an evolutionary trend towards enhanced immune response. Finally, we uncover reQTL effects in multiple GWAS loci and show a stronger enrichment for response than constant eQTLs in GWAS signals of several autoimmune diseases. This demonstrates the importance of infectious stimuli in modifying genetic predisposition to disease.Insight into the genetic influence on the immune response is important for the understanding of interindividual variability in human pathologies. Here, the authors generate transcriptome data from human blood monocytes stimulated with various immune stimuli and provide a time-resolved response eQTL map.

Indexed as

Acetylmuramyl-Alanyl-IsoglutamineAdjuvants, ImmunologicAdolescentAdultAutoimmune DiseasesGene ExpressionGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseHealthy VolunteersHumansIndicators and ReagentsLipidsLipopolysaccharidesMaleMonocytesAcetylmuramyl-Alanyl-IsoglutamineAdjuvants, ImmunologicIndicators and ReagentsLipidsLipofectamineLipopolysaccharidesRNA, Double-StrandedRNA, Messenger

Identifiers

PMID28814792
PMCPMC5559603

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.