Evidence map›Paper›PMID 28774965›Full record

ArticleGenome research2017

Assembly and analysis of 100 full MHC haplotypes from the Danish population.

Jacob M Jensen, Palle Villesen, Rune M Friborg, Danish Pan-Genome Consortium, Thomas Mailund, Søren Besenbacher, Mikkel H Schierup

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. HLA Genetics for the Human Diseases.Advances in experimental medicine and biology · 2024
    Review
  7. JTK: targeted diploid genome assembler.Bioinformatics (Oxford, England) · 2023
    Article
  8. Review
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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

7 authors at 1 institution in 1 country.

Jacob M JensenBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Palle VillesenBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Rune M FriborgBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Danish Pan-Genome Consortium
Thomas MailundBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Søren BesenbacherBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Mikkel H SchierupBioinformatics Research Centre, Aarhus University, 8000 Aarhus C., Denmark.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes in the major histocompatibility complex (MHC, also known as HLA) play a critical role in the immune response and variation within the extended 4-Mb region shows association with major risks of many diseases. Yet, deciphering the underlying causes of these associations is difficult because the MHC is the most polymorphic region of the genome with a complex linkage disequilibrium structure. Here, we reconstruct full MHC haplotypes from de novo assembled trios without relying on a reference genome and perform evolutionary analyses. We report 100 full MHC haplotypes and call a large set of structural variants in the regions for future use in imputation with GWAS data. We also present the first complete analysis of the recombination landscape in the entire region and show how balancing selection at classical genes have linked effects on the frequency of variants throughout the region.

Indexed as

Genetics, PopulationAllelesChromosome MappingDenmarkGenetic VariationHaplotypesHumansLinkage DisequilibriumMajor Histocompatibility ComplexPolymorphism, Single Nucleotide

Identifiers

PMID28774965
PMCPMC5580718
OpenAlexW2744133360

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LicenceCC BY
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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.