Evidence map›Paper›PMID 40070842›Full record

ArticleFrontiers in immunology2025

HLA allele and haplotype frequencies of eight Indian populations based on 130,518 registered stem cell donors.

Ute V Solloch, Chinma Kaniyath Madhusoodhanan, Vinzenz Lange, Jürgen Sauter, Latha Jagannathan, Patrick Paul, Marcelo A Fernández-Viña, Alexander H Schmidt

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Ute V SollochDKMS Group, Tübingen, Germany.
Chinma Kaniyath MadhusoodhananDKMS Foundation, Bangalore, India.
Vinzenz LangeDKMS Life Science Lab, Dresden, Germany.
Jürgen SauterDKMS Group, Tübingen, Germany.
Latha JagannathanBangalore Medical Services Trust, Bangalore, India.
Patrick PaulDKMS Foundation, Bangalore, India.
Marcelo A Fernández-ViñaDepartment of Pathology, Stanford University, Stanford, CA, United States.
Alexander H SchmidtDKMS Group, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In hematopoietic stem cell transplantation, optimal results are achieved when donors and patients are matched regarding their human leukocyte antigen (HLA) genes. Population-specific HLA allele and haplotype frequency distributions determine the probabilities to find matched donors in a stem cell donor registry of given size and ethnic composition. Methods: To evaluate the needs of Indian patients with regard to future donor recruitment, we analyzed a large data set of Results and Discussion: In terms of genetic relatedness, we observed a division of the subpopulations into a Southern and a Northwestern Indian cluster and the Bengali/West Bengal sample which differed significantly from the seven other subpopulations. Patients from Southern Indian populations are the main beneficiaries from the DKMS-BMST registry in the current ethnic composition. A more even nationwide coverage will be achieved in the future with the opening of local recruitment offices in different parts of India.

Indexed as

AllelesGene FrequencyHaplotypesHematopoietic Stem Cell TransplantationHLA AntigensTissue DonorsFemaleHumansIndiaMaleRegistriesHLA Antigensdonor registryhaplotype frequencyHLAHSCTIndia

Identifiers

PMID40070842
PMCPMC11893841

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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.