Evidence map›Paper›PMID 32878183›Full record

ArticleInternational journal of molecular sciences2020

Complement C4 Gene Copy Number Variation Genotyping by High Resolution Melting PCR.

Claudia P Jaimes-Bernal, Monte Trujillo, Francisco José Márquez, Antonio Caruz

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Claudia P Jaimes-BernalImmunogenetics Unit, Department of Experimental Biology, Universidad de Jaén, 23071 Jaén, Spain.ORCID 0000-0002-8034-190X
Monte TrujilloTransfusion Blood Center, 23009 Jaen, Spain.ORCID 0000-0003-2487-2041
Francisco José MárquezImmunogenetics Unit, Department of Experimental Biology, Universidad de Jaén, 23071 Jaén, Spain.
Antonio CaruzImmunogenetics Unit, Department of Experimental Biology, Universidad de Jaén, 23071 Jaén, Spain.ORCID 0000-0002-5788-7840

Funding

Asociación Universitaria Iberoamericana de Postgrado Beca estudios de doctoradoMinisterio de Economía, Industria y Competitividad, Gobierno de España SAF2016-80125-R
6 · The paper itself

Abstract

backgroundComplement C4 gene copy number variation plays an important role as a determinant of genetic susceptibility to common diseases, such as systemic lupus erythematosus, schizophrenia, rheumatoid arthritis, and infectious diseases. This study aimed to develop an assay for the quantification of copy number variations in the C4 locus.

methodsthe assay was based on a gene ratio analysis copy enumeration (GRACE) PCR combined with high resolution melting (HRM) PCR. The test was optimized using samples of a known genotype and validated with 72 DNA samples from healthy blood donors.

resultsto validate the assay, standard curves were generated by plotting the C4/RP1 ratio values against copy number variation (CNV) for each gene, using genomic DNA with known C4 CNV. The range of copy numbers in control individuals was comparable to distributions observed in previous studies of European descent.

conclusionsthe method herein described significantly simplifies C4 CNV diagnosis to validate the assay.

Indexed as

DNA Copy Number VariationsGenetic Predisposition to DiseasePolymorphism, Single NucleotideComplement C4GenotypeHumansPolymerase Chain ReactionComplement C4complement C4copy number variation (CNV)DNA copy number variationsreal-time polymerase chain reaction

Identifiers

PMID32878183
PMCPMC7504122

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