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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2014 . Peer-reviewed
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Article . 2015
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High‐throughput Kell, Kidd, and Duffy matrix‐assisted laser desorption/ionization, time‐of‐flight mass spectrometry–based blood group genotyping of 4000 donors shows close to full concordance with serotyping and detects new alleles

Authors: Stefan, Meyer; Caren, Vollmert; Nadine, Trost; Chantal, Brönnimann; Jochen, Gottschalk; Andreas, Buser; Beat M, Frey; +1 Authors

High‐throughput Kell, Kidd, and Duffy matrix‐assisted laser desorption/ionization, time‐of‐flight mass spectrometry–based blood group genotyping of 4000 donors shows close to full concordance with serotyping and detects new alleles

Abstract

BackgroundAfter the ABO (ABO) and Rh (RHD and RHCE) blood group systems, Kell (KEL), Kidd (SLC14A1), and Duffy (DARC) represent the second most important clinically relevant antigens.Study Design and MethodsSamples from 4000 Swiss blood donors, with serologic prevalues for K/k, Kpa/b, Jka/b, and Fya/b, and 48 additional samples of presumptive black African origin were genotyped using high‐throughput matrix‐assisted laser desorption/ionization, time‐of‐flight mass spectrometry, applying one single‐multiplex polymerase chain reaction/primer‐extension reaction simultaneously detecting 15 single‐nucleotide polymorphisms.ResultsGenotype/phenotype concordance for K/k, Kpa/b, Jka/b, and all Fya/b specificities were 100, 99.98, 99.93, and 99.20%, respectively. Discrepancies were caused by erroneous serologic profiles (n = 33), mainly attributed to weakly expressed Fyx (n = 28). Only three discrepancies had a genetic basis. They could all be explained by newly observed silenced alleles: one KEL*02N.34 and one FY*02N.03 with predicted R700Q and G261R amino acid exchanges, respectively, and one JK*B, with an as‐yet‐unidentified silencing cause. According to NCBI SNP database entry for rs8176034, another new allele, KEL*02.38, had been expected, and we formally demonstrated its presence. We furthermore identified individuals with rare phenotypes, such as Jsa/b heterozygotes among Caucasians, rare alleles, the “Swiss” JK*01N.03, and rare genotypes, such as one Fyx homozygote.ConclusionGenotyping proved its practicability in the daily routine setting and qualitatively outperformed serology. Technology is ideal for time‐insensitive donor genotyping and allows for a broad range of throughput needs. Consequently, from a technologic point of view, serotyping should be replaced by genotyping for donors' blood groups encoded by KEL, SLC14A1, and DARC.

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Keywords

Adult, Male, Membrane Glycoproteins, Genotyping Techniques, Metalloendopeptidases, Receptors, Cell Surface, Middle Aged, Polymorphism, Single Nucleotide, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Humans, Female, Kidd Blood-Group System, Databases, Nucleic Acid, Duffy Blood-Group System, Alleles, Switzerland

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    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!
41
Top 10%
Top 10%
Top 10%