Evidence map›Paper›PMID 25126587›Full record

ReviewJournal of immunology research2014

The relevance of HLA sequencing in population genetics studies.

Alicia Sanchez-Mazas, Diogo Meyer

Abstract readReview
In one paragraph

Review in Journal of immunology research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. HLA Alleles and Haplotype Distribution Across Russian Population Groups.International journal of molecular sciences · 2026
    Article
  2. HLA Genetics for the Human Diseases.Advances in experimental medicine and biology · 2024
    Review
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  18. Granuloma genes in sarcoidosis: what is new?Current opinion in pulmonary medicine · 2015
    Review
  19. Article
  20. 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

2 authors.

Alicia Sanchez-MazasDepartment of Genetics and Evolution-Anthropology Unit, University of Geneva and Institute of Genetics and Genomics of Geneva (IGE3), 12 Rue Gustave-Revilliod, 1211 Geneva 4, Switzerland.
Diogo MeyerDepartment of Genetics and Evolutionary Biology, University of São Paulo, Rua do Matão 277, São Paulo, SP 05508-090, Brazil.ORCID 0000-0002-7155-5674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing (NGS) is currently being adapted by different biotechnological platforms to the standard typing method for HLA polymorphism, the huge diversity of which makes this initiative particularly challenging. Boosting the molecular characterization of the HLA genes through efficient, rapid, and low-cost technologies is expected to amplify the success of tissue transplantation by enabling us to find donor-recipient matching for rare phenotypes. But the application of NGS technologies to the molecular mapping of the MHC region also anticipates essential changes in population genetic studies. Huge amounts of HLA sequence data will be available in the next years for different populations, with the potential to change our understanding of HLA variation in humans. In this review, we first explain how HLA sequencing allows a better assessment of the HLA diversity in human populations, taking also into account the methodological difficulties it introduces at the statistical level; secondly, we show how analyzing HLA sequence variation may improve our comprehension of population genetic relationships by facilitating the identification of demographic events that marked human evolution; finally, we discuss the interest of both HLA and genome-wide sequencing and genotyping in detecting functionally significant SNPs in the MHC region, the latter having also contributed to the makeup of the HLA molecular diversity observed today.

Indexed as

Genetics, PopulationHigh-Throughput Nucleotide SequencingEvolution, MolecularGene Expression RegulationGenetic Association StudiesHistocompatibility TestingHLA AntigensHumansPolymorphism, GeneticHLA Antigens

Identifiers

PMID25126587
PMCPMC4122113

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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.