Evidence map›Paper›PMID 31566225›Full record

ArticleNucleic acids research2020

OGRDB: a reference database of inferred immune receptor genes.

William Lees, Christian E Busse, Martin Corcoran, Mats Ohlin, Cathrine Scheepers, Frederick A Matsen, Gur Yaari, Corey T Watson, AIRR Community, Andrew Collins and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

44 citing papers in PubMed, 70 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
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  11. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  12. IMGTNAR genomics and bioinformatics · 2025
    Article
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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

11 authors at 9 institutions in 7 countries.

William LeesInstitute of Structural and Molecular Biology, Birkbeck College, University of London, London WC1E 7HX, UK.
Christian E BusseDivision of B Cell Immunology, German Cancer Research Center, 69120 Heidelberg, Germany.
Martin CorcoranDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institute, Box 280, 171 77 Stockholm, Sweden.
Mats OhlinDepartment of Immunotechnology, Lund University, Medicon Village, S-223 81 Lund, Sweden.
Cathrine ScheepersCenter for HIV and STIs, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringam, Gauteng 2131, South Africa.
Frederick A MatsenPublic Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.
Gur YaariFaculty of Engineering, Bar Ilan University, Ramat Gan 5290002, Israel.
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY 40202, USA.
AIRR Community
Andrew CollinsSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales 2052, Australia.
Adrian J ShepherdInstitute of Structural and Molecular Biology, Birkbeck College, University of London, London WC1E 7HX, UK.
Institute of Structural and Molecular Biology · GBUNSW Sydney · AUBar-Ilan University · ILFred Hutch Cancer Center · USGerman Cancer Research Center · DEKarolinska Institutet · SELund University · SENational Health Laboratory Service · ZAUniversity of Louisville · US

Funding

An ethnically diverse genomic reference resource for the human heavy and light chain immunoglobulin lociR24AI138963 · NIAID · UNIVERSITY OF LOUISVILLE · PI Melissa Laird Smith, Corey Taylor Watson · 2018 to 2026
$5.5M
Immunoglobulin gene diversity in an African population and impact on antibody function in HIV infectionU01AI136677 · NIAID · WITS HEALTH CONSORTIUM (PTY), LTD · PI MORRIS, LYNN · 2017 to 2021
$1.2M
Population level characterization of human immunoglobulin heavy chain germline variants with impacts on variability in the Ab repertoire of healthy adultsR21AI142590 · NIAID · UNIVERSITY OF LOUISVILLE · PI MARASCO, WAYNE A., WATSON, COREY TAYLOR · 2019 to 2020
$477k
NIAID NIH HHS R21 AI142590NIAID NIH HHS R24 AI138963NIAID NIH HHS U01 AI136677
6 · The paper itself

Abstract

High-throughput sequencing of the adaptive immune receptor repertoire (AIRR-seq) is providing unprecedented insights into the immune response to disease and into the development of immune disorders. The accurate interpretation of AIRR-seq data depends on the existence of comprehensive germline gene reference sets. Current sets are known to be incomplete and unrepresentative of the degree of polymorphism and diversity in human and animal populations. A key issue is the complexity of the genomic regions in which they lie, which, because of the presence of multiple repeats, insertions and deletions, have not proved tractable with short-read whole genome sequencing. Recently, tools and methods for inferring such gene sequences from AIRR-seq datasets have become available, and a community approach has been developed for the expert review and publication of such inferences. Here, we present OGRDB, the Open Germline Receptor Database (https://ogrdb.airr-community.org), a public resource for the submission, review and publication of previously unknown receptor germline sequences together with supporting evidence.

Indexed as

Databases, GeneticGenomicsComputational BiologyHumansReceptors, ImmunologicSoftwareWeb BrowserReceptors, Immunologic

Identifiers

PMID31566225
PMCPMC6943078
OpenAlexW2977872441

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.