Evidence map›Paper›PMID 42261830›Full record

ArticleHLA2026

The Phenotype List String Grammar for Enhanced Protein and Antigen Reporting in the Immunogenetic Context.

Steven J Mack, Nicholas K Brown, Loren Gragert, Jan A Hofmann, William Lemieux, Benedict M Matern, Kazutoyo Osoegawa, Jürgen Sauter, Martin Maiers, Eric Spierings

Abstract read
In one paragraph

Article in HLA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Steven J MackDepartment of Pediatrics, University of California San Francisco, Oakland, California, USA.ORCID https://orcid.org/0000-0001-9820-9547
Nicholas K BrownDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-0046-2315
Loren GragertDepartment of Pathology and Laboratory Medicine, Tulane University, New Orleans, Louisiana, USA.ORCID https://orcid.org/0000-0002-5945-6518
Jan A HofmannDKMS Group, Tübingen, Germany.
William LemieuxCentre Hospitalier Universitaire (CHU) Sainte-Justine Research Center, Montréal, Quebec, Canada.ORCID https://orcid.org/0000-0001-5684-9773
Benedict M MaternCenter for Translational Immunology, University Medical Center, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0002-9548-732X
Kazutoyo OsoegawaHistocompatibility and Immunogenetics Laboratory, Stanford Blood Center, Palo Alto, California, USA.ORCID https://orcid.org/0000-0002-4633-4255
Jürgen SauterDKMS Group, Tübingen, Germany.ORCID https://orcid.org/0000-0001-8485-2945
Martin MaiersCIBMTR (Center for International Blood and Marrow Transplant Research), NMDP, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-0198-2064
Eric SpieringsCenter for Translational Immunology, University Medical Center, Utrecht, the Netherlands.ORCID https://orcid.org/0000-0001-9441-1019

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
HLA Immunogenetics and kidney allograft outcomesR01AI173095 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Malek Kamoun · 2023 to 2026
$3.1M
NIAID NIH HHS R01 AI128775NIAID NIH HHS R01 AI173095NIH HHS R01AI128775NIH HHS R01AI173095
6 · The paper itself

Abstract

Standardised data representation is fundamental to the integrity, interoperability and reproducibility of immunogenetics and histocompatibility testing. While well-established standards such as the genotype list (GL) String, histoimmunogenetics markup language (HML) and minimum information for reporting next-generation sequence genotyping exist for encoding HLA genotyping results, no equivalent syntax currently exists for describing phenotype- or antigen-level information that underlies antibody testing and immunological risk assessment. We introduce the phenotype list (PL) String grammar and the phenotype list string code (PLSC) syntax, structured, machine-readable grammars designed to represent antigen- and protein-level data across three contexts: (1) the HLA phenotype composition of assay reagents, (2) test results derived from those reagents and (3) clinical interpretations of HLA antibody specificities. PL String extends the hierarchical logic of the GL String grammar, while adapting a subset of GL String delimiters and rules to describe ambiguity, heterodimeric relationships and phenotypic composition. PL String incorporates explicit namespace definitions (e.g., World Health Organization HLA Nomenclature Committee for Factors of the HLA System, Organ Procurement and Transplantation Network, Eurotransplant and NMDP) to ensure traceability and compatibility with existing regulatory and operational frameworks. By harmonising how HLA phenotypic and antibody data are encoded, PL Strings enable automated data exchange between laboratories, registries and information systems, reducing transcription errors and improving computational interpretation. This new grammar establishes a foundation for interoperable representation of serologic and functional HLA data, facilitating reproducible research and enhancing clinical decision support in transplantation and immunogenetics. Technical specifications for PL Strings and PLSCs are available at plstring.org.

Indexed as

Histocompatibility TestingHLA AntigensImmunogeneticsGenotypeHumansPhenotypeHLA AntigensHL7 FHIRHLAphenotype list stringphenotype list string code

Identifiers

PMID42261830
PMCPMC13060008

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.