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Dataset . 2022
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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Quantitative PCR from human genomic DNA: the determination of gene copy numbers for congenital adrenal hyperplasia and RCCX copy number variation

Authors: Doleschall, Márton; Darvasi, Ottó; Herold, Zoltán; Doleschall, Zoltán; Nyirő, Gábor; Somogyi, Anikó; Igaz, Péter; +1 Authors

Quantitative PCR from human genomic DNA: the determination of gene copy numbers for congenital adrenal hyperplasia and RCCX copy number variation

Abstract

The dataset is related a study in which we aimed to simultaneously assess the performance of 7 quantitative polymerase chain reaction (qPCR) assays for the gene copy number (GCN) determination of the genetic elements of RCCX copy number variation (CNV). A single laboratory method validations of duplex qPCR assays with hydrolysis probes on CYP21A1P and CYP21A2 genes, which are responsible for congenital adrenal hyperplasia, were performed using 46 human genomic DNA samples. We also performed the verifications on 5 qPCR assays for the genetic elements of RCCX CNV such as C4A gene, C4B, gene, RCCX CNV breakpoint, HERV-K(C4) CNV deletion and insertion alleles. The dataset contains the data of genomic DNA samples, the raw quantification cycle values of all qPCR experiments, the peak heights and dosage quotient of multiplex ligation-dependent probe amplification (MLPA) experiments, and the detailed GCN results based on qPCR and MLPA. All other analyses are available in our publication under the same title.

Keywords

CYP21A2, gene copy number, accuracy, RCCX CNV, quantitative PCR, copy number variation, congenital adrenal hyperplasia, molecular biology, precision, clinical chemistry, genetic testing

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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