Literature DB >> 23280558

Clinical application of midtrimester non-invasive fetal RHD genotyping and identification of RHD variants in a mixed-ethnic population.

M Grande1, E Ordoñez, V Cirigliano, J Cid, E Grau, A Pericot, I Teixido, J L Marin, A Borrell.   

Abstract

OBJECTIVE: This study aims to assess the suitability of non-invasive prenatal RHD genotyping in non-immunized midtrimester pregnant women from a mixed ethnic population, to prevent unnecessary anti-D immunoglobulin prophylaxis and to identify RHD variants
METHODS: Rhesus D-negative pregnant women were offered fetal RHD genotyping at 24 gestational weeks. A total of 284 samples were tested for RHD status using multiplex rt-PCR amplification of exons 5 and 7 of the RHD gene and exons 6 and 10 in selected cases. Women carrying RHD-negative fetuses were counseled about their option to avoid routine antenatal anti-D immunoglobulin administration. Diagnostic accuracy of RHD genotyping was compared with postnatal Rhesus D serotyping.
RESULTS: A total of 184 positives (65%), 91 negatives (32%) and 7 cases (2.5%) compatibles with RHD variants were detected by RHD genotyping. No false negative results were found, and a single false positive was observed in a twin pregnancy. Genotyping was accepted when offered by 94% of women (284/302), and anti-D immunoglobulin was avoided in 95% (90/95) of RHD-negative fetuses.
CONCLUSIONS: Non-invasive routine antenatal RHD genotyping at 24 weeks of pregnancy is a highly accurate method, resulting in the avoidance of 95% of unnecessary administrations of anti-D immunoglobulin, with no false negative results.
© 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 23280558     DOI: 10.1002/pd.4035

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  8 in total

1.  Determination of Fetal RHD Genotype Including the RHD Pseudogene in Maternal Plasma.

Authors:  Karen Chinoca Ziza; Adolfo Wenjaw Liao; Marcia Dezan; Carla Luana Dinardo; Eduardo Jens; Rossana Pulcineli Vieira Francisco; Alfredo Mendrone Junior; Marcelo Zugaib; José Eduardo Levi
Journal:  J Clin Lab Anal       Date:  2016-09-06       Impact factor: 2.352

Review 2.  Noninvasive Fetal RhD Blood Group Genotyping: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2020-11-02

3.  Fetal Rhesus D Genotyping and Sex Determination from Maternal Plasma of Rhesus D-Negative Antenatal Population: The Usefulness of Conventional Polymerase Chain Reaction in Resource-limited Settings.

Authors:  Otchere Addai-Mensah; Edward Y Afriyie; Samuel Asamoah Sakyi; Christian Obirikorang; Max Efui Annani-Akollor; Eddie-Williams Owiredu; Francis A Amponsah; Richard Vikpebah Duneeh; Evans Asamoah Adu
Journal:  Obstet Gynecol Int       Date:  2020-10-16

4.  Prenatal non-invasive foetal RHD genotyping: diagnostic accuracy of a test as a guide for appropriate administration of antenatal anti-D immunoprophylaxis.

Authors:  Silvia Manfroi; Chiara Calisesi; Pietro Fagiani; Annalisa Gabriele; Gianluca Lodi; Simonetta Nucci; Susanna Pelliconi; Laura Righini; Vanda Randi
Journal:  Blood Transfus       Date:  2018-04-09       Impact factor: 3.443

5.  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

Review 6.  Recent advances in prenatal genetic screening and testing.

Authors:  Ignatia B Van den Veyver
Journal:  F1000Res       Date:  2016-10-28

7.  High-throughput, non-invasive prenatal testing for fetal rhesus D status in RhD-negative women: a systematic review and meta-analysis.

Authors:  Huiqin Yang; Alexis Llewellyn; Ruth Walker; Melissa Harden; Pedro Saramago; Susan Griffin; Mark Simmonds
Journal:  BMC Med       Date:  2019-02-14       Impact factor: 8.775

8.  Evaluation of sample stability and automated DNA extraction for fetal sex determination using cell-free fetal DNA in maternal plasma.

Authors:  Elena Ordoñez; Laura Rueda; M Paz Cañadas; Carme Fuster; Vincenzo Cirigliano
Journal:  Biomed Res Int       Date:  2013-10-07       Impact factor: 3.411

  8 in total

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