Evidence map›Paper›PMID 37456901›Full record

ArticlePeerJ2023

Improved haplotype resolution of highly duplicated MHC genes in a long-read genome assembly using MiSeq amplicons.

Samantha Mellinger, Martin Stervander, Max Lundberg, Anna Drews, Helena Westerdahl

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. MHC Diversity Across Time and Space.Ecology and evolution · 2025
    Review
  4. Article
  5. Article
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

5 authors at 2 institutions in 2 countries.

Samantha MellingerDepartment of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden.
Martin StervanderDepartment of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden.
Max LundbergDepartment of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden.
Anna DrewsDepartment of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden.
Helena WesterdahlDepartment of Biology, Molecular Ecology and Evolution Lab, Lund University, Lund, Sweden.
Lund University · SELinnaeus University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-read sequencing offers a great improvement in the assembly of complex genomic regions, such as the major histocompatibility complex (MHC) region, which can contain both tandemly duplicated MHC genes (paralogs) and high repeat content. The MHC genes have expanded in passerine birds, resulting in numerous MHC paralogs, with relatively high sequence similarity, making the assembly of the MHC region challenging even with long-read sequencing. In addition, MHC genes show rather high sequence divergence between alleles, making diploid-aware assemblers incorrectly classify haplotypes from the same locus as sequences originating from different genomic regions. Consequently, the number of MHC paralogs can easily be over- or underestimated in long-read assemblies. We therefore set out to verify the MHC diversity in an original and a haplotype-purged long-read assembly of one great reed warbler

Indexed as

Major Histocompatibility ComplexPasseriformesAnimalsGenomeGenomicsHaplotypesHistocompatibility Antigens Class IHistocompatibility Antigens Class IAmplicon sequencingCopy number variationFamilyHaploid genome assemblyLinkage analysisMajor histocompatibility complexMHC diversity

Identifiers

PMID37456901
PMCPMC10349553
OpenAlexW4384029904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.