Evidence map›Paper›PMID 22785613›Full record

ArticleGenes and immunity2012

Fine-tuned characterization of RCCX copy number variants and their relationship with extended MHC haplotypes.

Z Bánlaki, M Doleschall, K Rajczy, G Fust, A Szilágyi

Open access · bronzeAbstract read
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In one paragraph

Article in Genes and immunity, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

  1. Complex genetic variation in nearly complete human genomes.bioRxiv : the preprint server for biology · 2024
    Article
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  4. CAH-X Syndrome: Genetic and Clinical Profile.Molecular diagnosis & therapy · 2022
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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

5 authors at 2 institutions in 1 country.

Z Bánlaki3rd Department of Internal Medicine, Research Laboratory, Semmelweis University, Budapest, Hungary.
M Doleschall
K Rajczy
G Fust
A Szilágyi
Semmelweis University · HUHungarian National Blood Transfusion Service · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human RCCX is a common multiallelic copy number variation locus whose number of segments varies between one and four in a chromosome. The monomodular form normally comprises four functional genes, but in duplicated RCCX segments generally only the gene-encoding complement component C4 produces a protein. C4 genes can code either for a C4A or a C4B isotype protein and exhibit dichotomous size variation. Distinct RCCX variants show association with numerous diseases; however, identification of the basis of these associations is often challenging, not least because the RCCX is localized in the major histocompatibility complex (MHC) region, a genomic area characterized by exceedingly long-range linkage disequilibrium. Here we present a detailed analysis on RCCX variants and their relationship with so-called 'ancestral' or 'conserved extended' MHC haplotypes in healthy Caucasians. In addition to former investigations, precise order and size of all C4A and C4B genes were determined even in trimodular RCCX structures. Considering C4 copy numbers, length, isotype specificity and CYP21A2 copy numbers, we have identified 15 distinct RCCX variants and described the RCCX structures involved in 29 repeatedly occurring MHC haplotypes. The findings should become a useful tool for future RCCX- and MHC-related disease association studies.

Indexed as

DNA Copy Number VariationsHaplotypesComplement C4aComplement C4bHumansMajor Histocompatibility ComplexSteroid 21-HydroxylaseWhite PeopleComplement C4aComplement C4bCYP21A2 protein, humanSteroid 21-Hydroxylase

Identifiers

PMID22785613
OpenAlexW2065103866

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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.