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Published in: BMC Medical Genetics 1/2014

Open Access 01-12-2014 | Research article

Molecular basis of DEL phenotype in the Chinese population

Authors: Juan Gu, Xue-Dong Wang, Chao-Peng Shao, Jun Wang, An-Yuan Sun, Li-Hua Huang, Zhao-Lin Pan

Published in: BMC Medical Genetics | Issue 1/2014

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Abstract

Background

Rh blood group system is the most complex and immunogenetic blood group system. Prevalent RHD alleles vary in different populations. We conducted the present study to examine the genotype of DEL individuals and to elucidate whether novel alleles exist in the Chinese population.

Methods

DEL phenotype was identified by a serologic adsorption-elution method. The nucleotide sequences of ten RHD exons and exon-intron boundary regions were evaluated by RHD gene-specific PCR-SSP and sequencing.

Results

Of 42306 samples from individual donors and patients, 165 samples were typed as D-negative. Among these D-negative samples, 41 DEL individuals were observed. Thirty-seven DELs were confirmed to have the RHD1227A allele. Two DELs seemed to have RHD-CE-D hybrid alleles, including one RHD-CE (4–7)-D and one RHD-CE (2–5)-D. Two novel RHD alleles were found among the rest of the DEL samples, including one RHD93T > A and one RHD838G > A.

Conclusion

In this study, about 24.85% (41/165) of the apparent D-negative Chinese individuals were DEL. RHD1227G > A is the most frequent allele in Chinese DEL phenotypes, accounting for 90.24% (37/41). The RHD-CE-D hybrid allele might be the second most frequent DEL allele in the Chinese population. Our study would contribute to the understanding of the molecular mechanism underlying D antigen expression of DEL individuals and provide useful information for designing suitable genotyping strategies in RhD-negative individuals in Asia.
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Metadata
Title
Molecular basis of DEL phenotype in the Chinese population
Authors
Juan Gu
Xue-Dong Wang
Chao-Peng Shao
Jun Wang
An-Yuan Sun
Li-Hua Huang
Zhao-Lin Pan
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Medical Genetics / Issue 1/2014
Electronic ISSN: 1471-2350
DOI
https://doi.org/10.1186/1471-2350-15-54

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