Evidence map›Paper›PMID 40947766›Full record

ArticleInternational journal of immunogenetics2025

HLAtools, Searching Shared HLA Amino Acid Residue Prevalence, and the Global Frequency Browsers: New Computational Resources for Working With HLA Data and Visualizing Global Patterns of HLA Variation.

Livia Tran, Ryan Nickens, Vinh Luu, Effie W Petersdorf, Steven J Mack

Abstract read
In one paragraph

Article in International journal of immunogenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Classical HLA Allele and Haplotype Frequency Estimates in US Populations.bioRxiv : the preprint server for biology · 2026
    Article
  3. 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

5 authors.

Livia TranUniversity of California San Francisco, Oakland, California, USA.
Ryan NickensLafayette College, Easton, Pennsylvania, USA.
Vinh LuuUniversity of California, Berkeley, California, USA.
Effie W PetersdorfTranslational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.
Steven J MackUniversity of California San Francisco, Oakland, California, USA.ORCID https://orcid.org/0000-0001-9820-9547

Funding

Hematopopietic Stem Cell TransplantationU01AI069197 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Effie W Petersdorf · 2005 to 2026
$18.9M
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
STIMULUS - Science & Technology Immersion for Underrepresented Learners in the U.S.R25HL125451 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FUNG, ELLEN B, TREADWELL, MARSHA J · 2015 to 2024
$1.3M
National Institute of Allergy and Infectious Diseases (NIAID) R01AI128775National Institute of Allergy and Infectious Diseases (NIAID) U01AI069197NHLBI NIH HHS R25 HL125451NHLBI NIH HHS R25HL125451NIAID NIH HHS R01 AI128775NIAID NIH HHS U01 AI069197
6 · The paper itself

Abstract

The highly polymorphic HLA genes inform susceptibility and resistance to infectious and autoimmune diseases and cancers and are key for successful solid-organ and stem-cell transplantation therapies. Over 41,000 HLA alleles are known and are unevenly distributed across the human population. Here, we describe HLAtools, Searching Shared HLA Amino-Acid Residue Prevalence (SSHAARP) and the Global Frequency Browser (GFB), new informatic tools developed to facilitate working with HLA data and visualizing the global distribution of HLA variants in human populations. HLAtools is an R package that consumes static resources for HLA alleles and sequences and makes these data locally computable alongside data-query, data-customization and data-analysis functions. The package further includes new reference datasets that dissect and catalogue HLA regions and HLA gene structures and provide insight into the organization of HLA pseudogenes and gene fragments. SSHAARP is an R package that describes the frequency distributions of individual HLA haplotypes, alleles and amino-acid motifs as global heatmaps. Allele frequency maps for more than 800 HLA alleles can be browsed using the GFB web and mobile applications. HLAtools and SSHAARP are available from the Comprehensive R Archive Network, and the GFB apps are available on GitHub.

Indexed as

Amino AcidsComputational BiologyHLA AntigensSoftwareAllelesGene FrequencyHaplotypesHumansAmino AcidsHLA Antigensfrequency distributionglobal frequency browserheatmapHLAHLAtoolsinformaticsSSHAARP

Identifiers

PMID40947766
PMCPMC12595587

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.