Evidence map›Paper›PMID 37403548›Full record

ArticleHLA2023

The genotype list string code syntax for exchanging nomenclature-level genotyping results in clinical and research data management and analysis systems.

Steven J Mack, Jürgen Sauter, James Robinson, Kazutoyo Osoegawa, Lloyd McKenzie, Joel Schneider, Martin Maiers, Robert P Milius

Abstract read
In one paragraph

Article in HLA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Steven J MackDepartment of Pediatrics, University of California, San Francisco, Oakland, California, USA.ORCID 0000-0001-9820-9547
Jürgen SauterDKMS, Tübingen, Germany.ORCID 0000-0001-8485-2945
James RobinsonAnthony Nolan Research Institute, London, UK.ORCID 0000-0002-2187-5944
Kazutoyo OsoegawaHistocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Palo Alto, California, USA.ORCID 0000-0002-4633-4255
Lloyd McKenzieDogwood Health Consulting, British Columbia, Canada.
Joel SchneiderNational Marrow Donor Program, Minneapolis, Minnesota, USA.ORCID 0009-0006-5215-1507
Martin MaiersNational Marrow Donor Program, Minneapolis, Minnesota, USA.ORCID 0000-0002-0198-2064
Robert P MiliusNational Marrow Donor Program, Minneapolis, Minnesota, USA.ORCID 0000-0001-8527-2221

Funding

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 AI128775
6 · The paper itself

Abstract

The nomenclatures used to describe HLA and killer-cell immunoglobulin-like receptor (KIR) alleles distinguish unique nucleotide and peptide sequences, and patterns of expression, but are insufficient for describing genotyping results, as description of ambiguities and relations across loci require terminology beyond allele names. The genotype list (GL) String grammar describes genotyping results for genetic systems with defined nomenclatures, like HLA and KIR, documenting what is known and unknown about a given genotyping result. However, the accuracy of a GL String is dependent on the reference database version under which it was generated. Here, we describe the GL string code (GLSC) system, which associates each GL String with meta-data describing the specific reference context in which the GL String was created, and in which it should be interpreted. GLSC is a defined syntax for exchanging GL Strings in the context of a specific gene-family namespace, allele-name code-system, and pertinent reference database version. GLSC allows HLA and KIR genotyping data to be transmitted, parsed and interpreted in the appropriate context, in an unambiguous manner, on modern data-systems, including Health Level 7 Fast Healthcare Interoperability Resource systems. Technical specification for GLSC can be found at https://glstring.org.

Indexed as

Data ManagementReceptors, KIRAllelesDatabases, FactualGenotypeHumansReceptors, KIRcodeable conceptelectronic healthcare record systemsgenotype list string codeHL7 FHIRHLAkiller-cell immunoglobulin-like receptor

Identifiers

PMID37403548
PMCPMC10530409

What OpenQuestion holds

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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.