Evidence map›Paper›PMID 39711219›Full record

ArticleHLA2024

HLA EPLET Frequencies Are Similar in Six Population Groups and Are Expressed by the Most Common HLA Alleles.

Massimo Mangiola, Mitchell Ellison, Marilyn Marrari, Qingyong Xu, Michal Mankowski, Doreen Sese, Bonnie E Lonze, Robert A Montgomery, Adriana Zeevi

Abstract read
In one paragraph

Article in HLA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. The Progress and Challenges of Implementing HLA Molecular Matching in Clinical Practice.Transplant international : official journal of the European Society for Organ Transplantation · 2025
    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

9 authors.

Massimo MangiolaNYU Langone Transplant Institute, New York, New York, USA.ORCID 0000-0002-5406-4005
Mitchell EllisonUniversity of Pittsburgh Medical Centre, Pittsburgh, Pennsylvania, USA.
Marilyn MarrariUniversity of Pittsburgh Medical Centre, Pittsburgh, Pennsylvania, USA.
Qingyong XuUniversity of Pittsburgh Medical Centre, Pittsburgh, Pennsylvania, USA.
Michal MankowskiNYU Langone Department of Surgery, New York, New York, USA.
Doreen SeseNYU Langone Transplant Institute, New York, New York, USA.
Bonnie E LonzeNYU Langone Transplant Institute, New York, New York, USA.
Robert A MontgomeryNYU Langone Transplant Institute, New York, New York, USA.
Adriana ZeeviUniversity of Pittsburgh Medical Centre, Pittsburgh, Pennsylvania, USA.

Funding

Increasing Equity and Utility in Deceased Donor Kidney Allocation with HLA Molecular MatchingR01DK139240 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LOREN GRAGERT, Michal A Mankowski · 2024 to 2026
$2.1M
A prospective clinical trial of immunosuppression reduction in recipients of low eplet mismatched renal allografts: the kidney for life initiativeR34AI177209 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LONZE, BONNIE ELIZABETH · 2023 to 2023
$254k
NIAID NIH HHS R34 AI177209NIDDK NIH HHS R01 DK139240
6 · The paper itself

Abstract

The degree of immunological compatibility between donors and recipients greatly impacts allograft survival. In the United States kidney allocation system, HLA antigen-level matching has been shown to cause ethnic disparities and thus, has been de-emphasised. However, priority points are still awarded for antigen-level zero-ABDR matching, zero-DR matching and one-DR matching. Recently, the degree of HLA molecular (eplet) mismatch has emerged as a more accurate measure of immunological risk, and eplet mismatch load has gained attention as a possible biomarker to improve HLA compatibility. However, little is known about the frequency of eplets in population groups, which is a necessary step to ensure that candidates from any ethnical background can have similar chances at a well-matched organ. Eplet frequencies were estimated using HLA alleles in the Common, Intermediate and Well-Documented (CIWD) 3.0.0 catalogue for six population groups: African-American (AFA), Asian-Pacific Islander (API), European/European descent (EURO), Middle East/North Coast of Africa (MENA), Hispanic/Latino (HIS) and Native-American (NAM). We determined that 98.6% (484 out of 491) of HLA eplets are expressed by the common HLA alleles in all population groups. Of the seven eplets that were expressed by less common HLA alleles, six were Class I eplets and one was expressed by HLA-DQB1 alleles and most were expressed by HLA alleles that were more commonly observed in European/European descent populations. Our observations indicate that HLA eplets will not cause any significant disparity if applied to HLA molecular compatibility, regardless of the ethnic origin of both recipients and donors.

Indexed as

AllelesGene FrequencyHistocompatibility TestingHLA AntigensEthnicityHumansKidney TransplantationPopulation GroupsTissue DonorsHLA AntigensCIWDequityHLA eplet frequencyHLA epletsmolecular compatibility

Identifiers

PMID39711219
PMCPMC11670879

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Registered trials

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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.