Evidence map›Paper›PMID 32430947›Full record

ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2021

Substituting imputation of HLA antigens for high-resolution HLA typing: Evaluation of a multiethnic population and implications for clinical decision making in transplantation.

Rachel M Engen, Aneta M Jedraszko, Michael A Conciatori, Anat R Tambur

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Imputed HLA typing as a practical approach to molecular mismatch risk stratification in kidney transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Optimizing kidney allocation: challenges and solutions.Current opinion in organ transplantation · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Frontiers in immunology · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. HLA-DR/DQ eplet mismatch predictsFrontiers in genetics · 2024
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Rachel M EngenDepartment of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-0584-7951
Aneta M JedraszkoStanley Manne Children's Research Institute, Ann & Robert H Lurie Children's Hospital of Chicago, Chicago, Illinois, USA.
Michael A ConciatoriDepartment of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Anat R TamburDepartment of Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-0320-9825
Northwestern University · USLurie Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular mismatch analysis for assessment of histocompatibility in transplantation requires high-resolution HLA typing. Algorithms to "guesstimate" high-resolution from low-resolution typing exist, but their accuracy remains unknown. We converted high-resolution, sequence-based, HLA typing of 310 subjects from an ethnically heterogeneous population to low-resolution equivalents and tested the ability of the NMDP HaploStats and HLA Matchmaker programs to impute/reproduce the measured high-resolution HLA type, using the more common "winner-takes-all" approach. Only 35.6% of the HaploStats imputed HLA-A, -B, -C, -DRB1, and -DQB1 haplotypes had no mistakes, and the accuracy was significantly lower for non-Caucasians (29.1%) compared to Caucasians (45.2%) (odds ratio [OR], 0.5; 95% confidence interval [CI], 0.3-0.8; P = .004). HLA Matchmaker was not able to provide high-resolution haplotypes for 45.2% of Caucasian subjects and 63.5% of non-Caucasian subjects (P = .002). Of those with an imputed result, only 10.3% of Caucasians and 4.8% of non-Caucasians had accurate 10-allele high-resolution output. Eplet analysis revealed additional, inaccurate eplets in 37% of individuals, with 22.5% showing at least 2 additional, inaccurate eplets; incorrect eplets were more common among non-Caucasians (OR, 1.8; 95% CI, 1.1-2.9; P = .018). Given this high error rate, caution should be taken before using imputation tools for clinical or research purposes, especially for non-Caucasian individuals.

Indexed as

HistocompatibilityHLA AntigensAllelesClinical Decision-MakingGene FrequencyHaplotypesHistocompatibility TestingHLA-DRB1 ChainsHumansHLA AntigensHLA-DRB1 Chainsclinical research/ practicehistocompatibilitykidney transplantation/ nephrologymajor histocompatibility complex (MHC)organ allocationorgan procurement and allocationrisk assessment/ risk stratification

Identifiers

PMID32430947
OpenAlexW3028136291

What OpenQuestion holds

Textmetadata
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.