Evidence map›Paper›PMID 35835762›Full record

ArticleNature communications2022

Natural Killer cells demonstrate distinct eQTL and transcriptome-wide disease associations, highlighting their role in autoimmunity.

James J Gilchrist, Seiko Makino, Vivek Naranbhai, Piyush K Sharma, Surya Koturan, Orion Tong, Chelsea A Taylor, Robert A Watson, Alba Verge de Los Aires, Rosalin Cooper and 8 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. CD11dGenes and immunity · 2026
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  14. CD56Frontiers in immunology · 2024
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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

18 authors at 2 institutions in 1 country.

James J Gilchrist *Department of Paediatrics, University of Oxford, Oxford, UK. james.gilchrist@paediatrics.ox.ac.uk.ORCID 0000-0003-2045-6788
Seiko Makino *Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Vivek Naranbhai *Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Piyush K SharmaMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Surya KoturanMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Orion TongMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-0659-5944
Chelsea A TaylorMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID 0000-0002-1635-4167
Robert A WatsonMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Alba Verge de Los AiresMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Rosalin CooperMRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Evelyn LauWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Sara DanielliWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Dan Hameiri-BowenWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0003-1592-6028
Wanseon LeeWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Esther NgWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Justin WhalleyWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.ORCID 0000-0002-0403-3091
Julian C Knight *Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK. julian.knight@well.ox.ac.uk.ORCID 0000-0002-0377-5536
Benjamin P Fairfax *MRC-Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK. benjamin.fairfax@oncology.ox.ac.uk.ORCID 0000-0001-7413-5002
Centre for Human Genetics · GBUniversity of Oxford · GB

Funding

Department of HealthWellcome TrustWellcome Trust 090532/Z/09/ZWellcome Trust 201488/Z/16/ZWellcome Trust 203141/Z/16/ZWellcome Trust 204969/Z/16/Z
6 · The paper itself

Abstract

Natural Killer cells are innate lymphocytes with central roles in immunosurveillance and are implicated in autoimmune pathogenesis. The degree to which regulatory variants affect Natural Killer cell gene expression is poorly understood. Here we perform expression quantitative trait locus mapping of negatively selected Natural Killer cells from a population of healthy Europeans (n = 245). We find a significant subset of genes demonstrate expression quantitative trait loci specific to Natural Killer cells and these are highly informative of human disease, in particular autoimmunity. A Natural Killer cell transcriptome-wide association study across five common autoimmune diseases identifies further novel associations at 27 genes. In addition to these cis observations, we find novel master-regulatory regions impacting expression of trans gene networks at regions including 19q13.4, the Killer cell Immunoglobulin-like Receptor region, GNLY, MC1R and UVSSA. Our findings provide new insights into the unique biology of Natural Killer cells, demonstrating markedly different expression quantitative trait loci from other immune cells, with implications for disease mechanisms.

Indexed as

Autoimmune DiseasesTranscriptomeAutoimmunityCarrier ProteinsGene Expression ProfilingGenome-Wide Association StudyHumansKiller Cells, NaturalPolymorphism, Single NucleotideCarrier ProteinsUVSSA protein, human

Identifiers

PMID35835762
PMCPMC9283523
OpenAlexW4285386406

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.