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Article
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Vox Sanguinis
Article . 2008 . Peer-reviewed
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Vox Sanguinis
Article . 2008
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Introduction of a real‐time based blood group genotyping approach

Authors: Christian Gabriel; Katja Hofer; Johannes Pröll; Agnes Zopf; U. Heilinger; Martin Danzer; Helene Polin;

Introduction of a real‐time based blood group genotyping approach

Abstract

Background and Objective  Genotyping may be applied for rare blood group polymorphisms in a high‐throughput mode as well for the molecular determination of blood groups due to unclear serological results.Material and Methods  We developed and validated a DNA typing method for the determination of KEL1/2, JK1/2, FY1/2, FY0, MNS1/2, MNS3/4, DO1/2, CO1/2 and LU1/2 alleles using a melting curve analysis downstream from a fully automated DNA extraction. All assays were validated in terms of specificity, sensitivity, assay variability and robustness. The usability was proven by a batch of 200 blood samples with partially known phenotype.Results  Assays for all blood groups were within the range of specificity (100%), assay variability and robustness (coefficient of variance < 3%). Genotypes of 200 random platelet donors were fully consistent with existing phenotype data. The obtained genotype distribution is in complete concordance with existing data for the European population underlined by a complete absence of CO2 homozygous donors and the FY0 allele among the cohort.Conclusion  We introduce an approach for blood group genotyping of particular samples or gene loci in glass capillary format and for medium‐throughput analysis in 96/384‐well format. The advantages of this real‐time polymerase chain reaction method are its automation potential, the flexibility regarding hardware and the rapid cycling time.

Keywords

Genotype, Reproducibility of Results, Blood Donors, DNA, Robotics, Nucleic Acid Denaturation, Polymerase Chain Reaction, Sensitivity and Specificity, Blood Grouping and Crossmatching, Computer Systems, Blood Group Antigens, Fluorescence Resonance Energy Transfer, Humans, Serologic Tests

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    27
    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.
    Average
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
bronze