Literature DB >> 25900316

Duffy blood group phenotype-genotype correlations using high-resolution melting analysis PCR and microarray reveal complex cases including a new null FY*A allele: the role for sequencing in genotyping algorithms.

G H Lopez1, J Morrison2, J A Condon3, B Wilson2, J R Martin2, Y-W Liew2, R L Flower1, C A Hyland1.   

Abstract

BACKGROUND AND OBJECTIVES: Duffy blood group phenotypes can be predicted by genotyping for single nucleotide polymorphisms (SNPs) responsible for the Fy(a) /Fy(b) polymorphism, for weak Fy(b) antigen, and for the red cell null Fy(a-b-) phenotype. This study correlates Duffy phenotype predictions with serotyping to assess the most reliable procedure for typing.
MATERIALS AND METHODS: Samples, n = 155 (135 donors and 20 patients), were genotyped by high-resolution melt PCR and by microarray. Samples were in three serology groups: 1) Duffy patterns expected n = 79, 2) weak and equivocal Fy(b) patterns n = 29 and 3) Fy(a-b-) n = 47 (one with anti-Fy3 antibody).
RESULTS: Discrepancies were observed for five samples. For two, SNP genotyping predicted weak Fy(b) expression discrepant with Fy(b-) (Group 1 and 3). For three, SNP genotyping predicted Fy(a) , discrepant with Fy(a-b-) (Group 3). DNA sequencing identified silencing mutations in these FY*A alleles. One was a novel FY*A 719delG. One, the sample with the anti-Fy3, was homozygous for a 14-bp deletion (FY*01N.02); a true null.
CONCLUSION: Both the high-resolution melting analysis and SNP microarray assays were concordant and showed genotyping, as well as phenotyping, is essential to ensure 100% accuracy for Duffy blood group assignments. Sequencing is important to resolve phenotype/genotype conflicts which here identified alleles, one novel, that carry silencing mutations. The risk of alloimmunisation may be dependent on this zygosity status.
© 2015 International Society of Blood Transfusion.

Entities:  

Keywords:  Duffy blood group genotyping; Duffy null FY*01N.07; RBC antigens and antibodies; high-resolution melting analysis; serological testing

Mesh:

Substances:

Year:  2015        PMID: 25900316     DOI: 10.1111/vox.12273

Source DB:  PubMed          Journal:  Vox Sang        ISSN: 0042-9007            Impact factor:   2.144


  5 in total

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Authors:  Gabriela Höher; Marilu Fiegenbaum; Silvana Almeida
Journal:  Blood Transfus       Date:  2017-01-30       Impact factor: 3.443

2.  Frequency of Mia (MNS7) and Classification of Mia-Positive Hybrid Glycophorins in an Australian Blood Donor Population.

Authors:  Genghis H Lopez; Brett Wilson; Robyn M Turner; Glenda M Millard; Nicole S Fraser; Naomi M Roots; Yew-Wah Liew; Catherine A Hyland; Robert L Flower
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3.  Atypical Chemokine Receptor 1 (DARC/ACKR1) in Breast Tumors Is Associated with Survival, Circulating Chemokines, Tumor-Infiltrating Immune Cells, and African Ancestry.

Authors:  Brittany D Jenkins; Rachel N Martini; Rupali Hire; Andrea Brown; Briana Bennett; I'nasia Brown; Elizabeth W Howerth; Mary Egan; Jamie Hodgson; Clayton Yates; Rick Kittles; Dhananjay Chitale; Haythem Ali; David Nathanson; Petros Nikolinakos; Lisa Newman; Michele Monteil; Melissa B Davis
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-04       Impact factor: 4.090

4.  Identification of Anti-Gerbich Antibody in an Emirati Marrow Hematopoietic Progenitor Cell Donor with Fy(a-b-) Phenotype.

Authors:  Seung Jun Choi; Eunkyung Lee; Sinyoung Kim; Chuhl Joo Lyu; Hyun Ok Kim
Journal:  Yonsei Med J       Date:  2018-12       Impact factor: 2.759

Review 5.  The biology of unconventional invasion of Duffy-negative reticulocytes by Plasmodium vivax and its implication in malaria epidemiology and public health.

Authors:  Lemu Golassa; Lucas Amenga-Etego; Eugenia Lo; Alfred Amambua-Ngwa
Journal:  Malar J       Date:  2020-08-24       Impact factor: 2.979

  5 in total

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