Evidence map›Paper›PMID 22454046›Full record

ArticleImmunogenetics2012

Constraints on haplotype structure and variable gene frequencies suggest a functional hierarchy within cattle MHC class I.

Gemma F Codner, James Birch, John A Hammond, Shirley A Ellis

Abstract read
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In one paragraph

Article in Immunogenetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cattle NK Cell Heterogeneity and the Influence of MHC Class I.Journal of immunology (Baltimore, Md. : 1950) · 2015
    Article
  7. Article
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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

4 authors.

Gemma F CodnerLivestock Infectious Disease Programme, Institute for Animal Health, Compton RG20 7NN, UK.
James Birch
John A Hammond
Shirley A Ellis

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00001410
6 · The paper itself

Abstract

Six major histocompatibility complex (MHC) classical class I genes have been identified in cattle, and up to three of these are expressed in variable combinations on different haplotypes. The origin and functional significance of this genetic complexity is unknown. However, an improved assembly of the cattle genome, an expanded database of full-length cDNA sequences and high-resolution frequency data concerning expressed class I genes in an economically important cattle breed combine to provide a new opportunity to study the significance of cattle MHC class I diversity. Analysis of these new data supports assignment of alleles to six discrete genes and further shows that all these classical genes share a common ancestor with a single non-classical gene, NC1. While haplotype structure is variable, with thirteen gene configurations identified, there are nevertheless clear constraints relating to both the number and combination of genes. Haplotypes expressing two classical genes are most frequently observed, and the classical class I gene 2 is almost invariably present. The frequency data support the dominance of gene 2, showing that close to 100 % of individuals carry at least one copy. This indicates a hierarchy in the functional importance of particular genes and haplotype structures. Haplotype frequency in cattle populations is therefore likely to impact on differential disease susceptibilities. This knowledge will be important for development of informed breeding strategies aimed at increasing the ability of cattle to survive in the face of future unpredictable pathogen exposure.

Indexed as

HaplotypesAnimalsCattleGene FrequencyGenetic VariationHistocompatibility Antigens Class IPolymorphism, GeneticHistocompatibility Antigens Class I

Identifiers

What OpenQuestion holds

Textmetadata
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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.