Literature DB >> 17655577

Effective molecular RHD typing strategy for blood donations.

Helene Polin1, Martin Danzer, Katja Hofer, Waltraud Gassner, Christian Gabriel.   

Abstract

BACKGROUND: More than 50 weak D alleles and numerous partial D alleles have been described to date that can be identified by molecular methods as polymerase chain reaction (PCR) and DNA sequencing of the RHD gene. A real time-based RHD typing scheme was developed and tested during an 8-month period. STUDY DESIGN AND METHODS: A total of 53,347 blood donors and patients were tested with standardized immunohematologic methods. A total of 201 DNA samples with weak D reactions underwent molecular characterization by weak D real-time PCR, exon-screening real-time PCR, and nucleotide sequencing of RHD Exons 1 through 10. A total of 2,427 samples with D- phenotype were tested for the presence of RHD markers.
RESULTS: Molecular typing of 201 samples with weak D expression revealed 15 different known aberrant alleles as well as one new weak D type dubbed weak D Type 49. Approximately 60 percent of the alleles were determined as weak D Types 1 through 3 and detected by only one amplification run. Weak D Type 1 represented the most frequent allele (n = 72). Three samples with D- phenotype showed amplification of RHD-specific markers. Sequence-based typing (SBT) of these samples revealed a DEL allele, RHD(IVS3+1G>A), in two samples and one weak D Type 4.3.
CONCLUSIONS: The presented scheme for RHD genotyping of weak D red blood cell units was reliable for detection of aberrant alleles. Testing of D- blood samples as quality control seems to overcome limitations of standard serology by detection of samples with weak D or DEL phenotype.

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Year:  2007        PMID: 17655577     DOI: 10.1111/j.1537-2995.2007.01278.x

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  9 in total

1.  RHD PCR of D-Negative Blood Donors.

Authors:  Franz F Wagner
Journal:  Transfus Med Hemother       Date:  2013-05-08       Impact factor: 3.747

2.  Weak D in the Tunisian population.

Authors:  Mouna Ouchari; Houda Romdhane; Taher Chakroun; Saida Abdelkefi; Batoul Houissa; Slama Hmida; Saloua Jemni Yacoub
Journal:  Blood Transfus       Date:  2014-10-23       Impact factor: 3.443

Review 3.  Serological weak D phenotypes: a review and guidance for interpreting the RhD blood type using the RHD genotype.

Authors:  S Gerald Sandler; Leonard N Chen; Willy A Flegel
Journal:  Br J Haematol       Date:  2017-05-16       Impact factor: 6.998

4.  A simple diagnostic strategy for RhD typing in discrepant cases in the Indian population.

Authors:  Swati Kulkarni; Vasantha Kasiviswanathan; Kanjaksha Ghosh
Journal:  Blood Transfus       Date:  2012-07-12       Impact factor: 3.443

5.  It's time to phase in RHD genotyping for patients with a serologic weak D phenotype. College of American Pathologists Transfusion Medicine Resource Committee Work Group.

Authors:  S Gerald Sandler; Willy A Flegel; Connie M Westhoff; Gregory A Denomme; Meghan Delaney; Margaret A Keller; Susan T Johnson; Louis Katz; John T Queenan; Ralph R Vassallo; Clayton D Simon
Journal:  Transfusion       Date:  2014-12-01       Impact factor: 3.157

6.  Molecular typing for blood group antigens within 40 min by direct polymerase chain reaction from plasma or serum.

Authors:  Franz F Wagner; Willy A Flegel; Rita Bittner; Andrea Döscher
Journal:  Br J Haematol       Date:  2016-12-19       Impact factor: 6.998

7.  Implementing mass-scale red cell genotyping at a blood center.

Authors:  Willy A Flegel; Jerome L Gottschall; Gregory A Denomme
Journal:  Transfusion       Date:  2015-06-20       Impact factor: 3.157

8.  RHD variants in Polish blood donors routinely typed as D-.

Authors:  Agnieszka Orzińska; Katarzyna Guz; Helene Polin; Monika Pelc-Kłopotowska; Justyna Bednarz; Agata Gieleżyńska; Beata Sliwa; Małgorzata Kowalewska; Elżbieta Pawłowska; Bogusława Włodarczyk; Małgorzata Malaga Alicja Żmudzin; Magdalena Krzemienowska; Kshitij Srivastava; Bogumiła Michalewska; Christian Gabriel; Willy A Flegel; Ewa Brojer
Journal:  Transfusion       Date:  2013-05-01       Impact factor: 3.157

9.  Single Molecule Fluorescence Microscopy and Machine Learning for Rhesus D Antigen Classification.

Authors:  Daniela M Borgmann; Sandra Mayr; Helene Polin; Susanne Schaller; Viktoria Dorfer; Lisa Obritzberger; Tanja Endmayr; Christian Gabriel; Stephan M Winkler; Jaroslaw Jacak
Journal:  Sci Rep       Date:  2016-09-01       Impact factor: 4.379

  9 in total

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