Literature DB >> 23228153

Establishment of a medium-throughput approach for the genotyping of RHD variants and report of nine novel rare alleles.

Yann Fichou1, Cédric Le Maréchal, Déborah Jamet, Laurence Bryckaert, Chandran Ka, Marie-Pierre Audrézet, Gérald Le Gac, Isabelle Dupont, Jian-Min Chen, Claude Férec.   

Abstract

BACKGROUND: The routinely used serologic methods are robust in accurately typing standard D- or D+ blood. However, they result in discrepancy in weak or partial D blood, which requires genetic analysis. We have previously used denaturing high-performance liquid chromatography (DHPLC) to screen the entire RHD-coding sequence. However, DHPLC is technically challenging, labor-intensive, and time-consuming. To overcome these inconveniences, we sought to develop a new two-step approach. STUDY DESIGN AND METHODS: A total of 430 blood samples with D phenotype ambiguity were recruited for this study. The three most frequent weak D alleles (i.e., weak D, Type 1; weak D, Type 2; and weak D, Type 3), which altogether account for 60% to 90% of the atypical RHD alleles in the Caucasian population, were first identified by Tm-shift genotyping. The remaining unidentified samples were then subjected to a single-tube multiplex polymerase chain reaction (PCR) amplification of all 10 RHD exons followed by direct sequencing.
RESULTS: Optimal conditions for efficient and reliable identification of the three most common weak D variants by Tm-shift genotyping were established. All 10 RHD exons were successfully amplified in a single-multiplex PCR procedure. Employment of the two-step analysis identified RHD variants in 91.6% of the 430 studied samples. Two of the nine previously undescribed variants, c.335G>T and c.939G>A, were found to cause aberrant mRNA splicing by means of a splicing minigene assay.
CONCLUSION: The new two-step analysis proved to be much easier and cheaper than the DHPLC method and therefore is convenient to be used as a routine, medium-throughput approach for RHD genotyping.
© 2012 American Association of Blood Banks.

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Year:  2012        PMID: 23228153     DOI: 10.1111/trf.12009

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


  8 in total

1.  Insights into RHCE Molecular Analysis in Samples with Partial D Variants: the Experience of Western France.

Authors:  Yann Fichou; Cédric Le Maréchal; Virginie Scotet; Déborah Jamet; Claude Férec
Journal:  Transfus Med Hemother       Date:  2015-07-23       Impact factor: 3.747

2.  Distribution of Rhesus blood group antigens and weak D alleles in the population of Albania.

Authors:  Merita Xhetani; Irena Seferi; Claude Férec; Grigor Zoraqi; Yann Fichou
Journal:  Blood Transfus       Date:  2014-06-12       Impact factor: 3.443

3.  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

4.  Screening for DEL phenotype in RhD negative Indians.

Authors:  Swati Kulkarni; Disha S Parchure; Vidya Gopalkrishnan; Manisha Madkaikar
Journal:  J Clin Lab Anal       Date:  2017-06-23       Impact factor: 2.352

5.  Comprehensive Molecular Analysis of Serologically D-Negative and Weak/Partial D Phenotype in Thai Blood Donors.

Authors:  Jairak Thongbut; Loann Raud; Claude Férec; Charuporn Promwong; Pornlada Nuchnoi; Yann Fichou
Journal:  Transfus Med Hemother       Date:  2019-04-03       Impact factor: 3.747

6.  RHD-Positive Alleles among D- C/E+ Individuals from India.

Authors:  Swati S Kulkarni; Harita Gogri; Disha Parchure; Garima Mishra; Kanjaksha Ghosh; Sunil Rajadhyaksha; Manisha Madkaikar; Claude Férec; Yann Fichou
Journal:  Transfus Med Hemother       Date:  2018-01-10       Impact factor: 3.747

7.  Algorithm development and diagnostic accuracy testing for non-invasive foetal RHD genotyping: an Indian experience.

Authors:  Disha Parchure; Manisha Madkaikar; Swati Kulkarni
Journal:  Blood Transfus       Date:  2021-03-31       Impact factor: 5.752

8.  Molecular and computational analysis of 45 samples with a serologic weak D phenotype detected among 132,479 blood donors in northeast China.

Authors:  Xu Zhang; Guiji Li; Zhuren Zhou; Chaopeng Shao; Xuying Huang; Lichun Li; Xiaofeng Li; Ying Liu; Hua Fan; Jianping Li
Journal:  J Transl Med       Date:  2019-11-27       Impact factor: 5.531

  8 in total

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