Evidence map›Paper›PMID 28558647›Full record

ArticleBMC bioinformatics2017

Hapl-o-Mat: open-source software for HLA haplotype frequency estimation from ambiguous and heterogeneous data.

Christian Schäfer, Alexander H Schmidt, Jürgen Sauter

Abstract read
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Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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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

26 citing papers in PubMed.

  1. HLA Alleles and Haplotype Distribution Across Russian Population Groups.International journal of molecular sciences · 2026
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  11. Distribution ofFrontiers in pharmacology · 2022
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  14. Should results of HLA haplotype frequency estimations be normalized?International journal of immunogenetics · 2021
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  20. HLA Haplotype Frequencies and Genetic Profiles of the Kuwaiti Population.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2020
    Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Christian SchäferDKMS gemeinnützige GmbH, Kressbach 1, 72072, Tübingen, Germany.
Alexander H SchmidtDKMS gemeinnützige GmbH, Kressbach 1, 72072, Tübingen, Germany.
Jürgen SauterDKMS gemeinnützige GmbH, Kressbach 1, 72072, Tübingen, Germany. sauter@dkms.de.ORCID http://orcid.org/0000-0001-8485-2945

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of HLA haplotypes is helpful in many settings as disease association studies, population genetics, or hematopoietic stem cell transplantation. Regarding the recruitment of unrelated hematopoietic stem cell donors, HLA haplotype frequencies of specific populations are used to optimize both donor searches for individual patients and strategic donor registry planning. However, the estimation of haplotype frequencies from HLA genotyping data is challenged by the large amount of genotype data, the complex HLA nomenclature, and the heterogeneous and ambiguous nature of typing records.

resultsTo meet these challenges, we have developed the open-source software Hapl-o-Mat. It estimates haplotype frequencies from population data including an arbitrary number of loci using an expectation-maximization algorithm. Its key features are the processing of different HLA typing resolutions within a given population sample and the handling of ambiguities recorded via multiple allele codes or genotype list strings. Implemented in C++, Hapl-o-Mat facilitates efficient haplotype frequency estimation from large amounts of genotype data. We demonstrate its accuracy and performance on the basis of artificial and real genotype data.

conclusionsHapl-o-Mat is a versatile and efficient software for HLA haplotype frequency estimation. Its capability of processing various forms of HLA genotype data allows for a straightforward haplotype frequency estimation from typing records usually found in stem cell donor registries.

Indexed as

SoftwareAlgorithmsAllelesGene FrequencyGenotypeHaplotypesHistocompatibility TestingHLA AntigensHumansHLA AntigensBioinformaticsExpectation-maximization algorithmHaplotypeHLAImmunogeneticsOpen-source softwarePopulation genetics

Identifiers

PMID28558647
PMCPMC5450239

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LicenceCC BY
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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.