Evidence map›Paper›PMID 30564239›Full record

ArticleFrontiers in immunology2018

Allele-Level

Ines Wagner, Daniel Schefzyk, Jens Pruschke, Gerhard Schöfl, Bianca Schöne, Nicole Gruber, Kathrin Lang, Jan Hofmann, Christine Gnahm, Bianca Heyn and 9 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances inFrontiers in immunology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. DonorFrontiers in immunology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. High population frequencies ofFrontiers in immunology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

19 authors.

Ines WagnerDKMS Life Science Lab, Dresden, Germany.
Daniel SchefzykDKMS, Tübingen, Germany.
Jens PruschkeDKMS, Tübingen, Germany.
Gerhard SchöflDKMS Life Science Lab, Dresden, Germany.
Bianca SchöneDKMS Life Science Lab, Dresden, Germany.
Nicole GruberDKMS Life Science Lab, Dresden, Germany.
Kathrin LangDKMS Life Science Lab, Dresden, Germany.
Jan HofmannDKMS, Tübingen, Germany.
Christine GnahmDKMS, Tübingen, Germany.
Bianca HeynDKMS Life Science Lab, Dresden, Germany.
Wesley M MarinSan Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Ravi DandekarSan Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Jill A HollenbachSan Francisco School of Medicine, University of California, San Francisco, San Francisco, CA, United States.
Johannes ScheteligDKMS, Tübingen, Germany.
Julia PingelDKMS, Tübingen, Germany.
Paul J NormanDivision of Biomedical Informatics and Personalized Medicine, and Department of Immunology, University of Colorado Anschutz Medical, Aurora, CO, United States.
Jürgen SauterDKMS, Tübingen, Germany.
Alexander H SchmidtDKMS Life Science Lab, Dresden, Germany.
Vinzenz LangeDKMS Life Science Lab, Dresden, Germany.

Funding

Insights Into Immune-Related Diseases Born from Population GenomicsU01AI090905 · NIAID · UNIVERSITY OF COLORADO DENVER · PI Paul John Norman · 2010 to 2026
$10.9M
KIR association studies in neurological diseasesU19NS095774 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERNANDEZ-VINA, MARCELO, OKSENBERG, JORGE R. · 2015 to 2019
$7.0M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
NIAID NIH HHS R01 AI128775NIAID NIH HHS U01 AI090905NINDS NIH HHS U19 NS095774
6 · The paper itself

Abstract

The killer-cell immunoglobulin-like receptor (

Indexed as

AlgorithmsAllelesDNA Copy Number VariationsGene DosageGenotypeHematopoietic Stem Cell TransplantationHigh-Throughput Nucleotide SequencingHumansKiller Cells, NaturalReceptors, KIRWorkflowReceptors, KIRallele-level resolutionhigh-throughputkiller cell immunoglobulin-like receptorsKIRKIR genotypingnext generation sequencingNGS

Identifiers

PMID30564239
PMCPMC6288436

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.