Evidence map›Paper›PMID 26812061›Full record

ArticleHLA2016

Detection of 549 new HLA alleles in potential stem cell donors from the United States, Poland and Germany.

C J Hernández-Frederick, N Cereb, A S Giani, J Ruppel, A Maraszek, J Pingel, J Sauter, A H Schmidt, S Y Yang

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in HLA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

C J Hernández-FrederickDKMS German Bone Marrow Donor Center, Tübingen, Germany.
N CerebHistoGenetics Inc., Ossining, NY, USA.
A S GianiDKMS German Bone Marrow Donor Center, Tübingen, Germany.
J RuppelDelete Blood Cancer DKMS US, New York, NY, USA.
A MaraszekDKMS Polska, Warsaw, Poland.
J PingelDKMS German Bone Marrow Donor Center, Tübingen, Germany.
J SauterDKMS German Bone Marrow Donor Center, Tübingen, Germany.
A H SchmidtDKMS German Bone Marrow Donor Center, Tübingen, Germany.
S Y YangHistoGenetics Inc., Ossining, NY, USA.
German National Bone Marrow Donor Registry · DEHistoGenetics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We characterized 549 new human leukocyte antigen (HLA) class I and class II alleles found in newly registered stem cell donors as a result of high-throughput HLA typing. New alleles include 101 HLA-A, 132 HLA-B, 105 HLA-C, 2 HLA-DRB1, 89 HLA-DQB1 and 120 HLA-DPB1 alleles. Mainly, new alleles comprised single nucleotide variations when compared with homologous sequences. We identified nonsynonymous nucleotide mutations in 70.7% of all new alleles, synonymous variations in 26.4% and nonsense substitutions in 2.9% (null alleles). Some new alleles (55, 10.0%) were found multiple times, HLA-DPB1 alleles being the most frequent among these. Furthermore, as several new alleles were identified in individuals from ethnic minority groups, the relevance of recruiting donors belonging to such groups and the importance of ethnicity data collection in donor centers and registries is highlighted.

Indexed as

AllelesGenetic LociTissue DonorsEthnicityGene ExpressionGene FrequencyGermanyHLA AntigensHumansPolandPolymorphism, Single NucleotideProtein IsoformsStem CellsStem Cell TransplantationUnited StatesHLA AntigensProtein Isoformsgenetic diversityhematopoietic stem cell transplantationhuman leukocyte antigensnew allelesnext-generation sequencingsequencing-based typing

Identifiers

PMID26812061
PMCPMC5064838
OpenAlexW2310949241

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.