BACKGROUND: Non-invasive foetal RHD genotyping can predict haemolytic disease of the foetus and the newborn in pregnancies with anti-D alloantibodies and also avoid antenatal anti-D prophylaxis in pregnant women carrying an RHD negative foetus. Considering that the Argentine genetic background is the result of generations of intermixing between several ethnic groups, we evaluated the diagnostic performance of a non-invasive foetal RHD determination strategy to guide targeted antenatal RhD immunoprophylaxis. This algorithm is based on the analysis of four regions of the RHD gene in cell-free foetal DNA in maternal plasma and maternal and paternal RHD genotyping. MATERIALS AND METHODS: DNA from 298 serologically D negative pregnant women between 19-28 weeks gestation were RHD genotyped. Foetal RHD status was determined by real-time PCR in 296 maternal plasma samples. In particular cases, RHDΨ and RHD-CE-Ds alleles were investigated in paternal DNA. Umbilical cord blood was collected at birth, and serological and molecular studies were performed. RESULTS: Of the 298 maternal samples, 288 were D-/RHD- and 10 D-/RHD+ (2 RHD*DAR; 5 RHD-CE-Ds; 3 RHDΨ). Plasma from RHD*DAR carriers was not analysed. Real-time PCR showed 210 RHD+ and 78 RHD- foetuses and 8 inconclusive results. In this latter group, paternal molecular studies were useful to report a RHD negative status in 5 foetuses while only 3 remained inconclusive. All the results, except one false positive due to a silent allele (RHD[581insG]), agreed with the neonatal typing performed in cord blood. DISCUSSION: The protocol used for non-invasive prenatal RHD genotyping proved to be suitable to determine foetal RHD status in our admixed population. The knowledge of the genetic background of the population under study and maternal and paternal molecular analysis can reduce the number of inconclusive results when investigating foetal RHD status.
BACKGROUND:Non-invasive foetal RHD genotyping can predict haemolytic disease of the foetus and the newborn in pregnancies with anti-D alloantibodies and also avoid antenatal anti-D prophylaxis in pregnant women carrying an RHD negative foetus. Considering that the Argentine genetic background is the result of generations of intermixing between several ethnic groups, we evaluated the diagnostic performance of a non-invasive foetal RHD determination strategy to guide targeted antenatal RhD immunoprophylaxis. This algorithm is based on the analysis of four regions of the RHD gene in cell-free foetal DNA in maternal plasma and maternal and paternal RHD genotyping. MATERIALS AND METHODS: DNA from 298 serologically D negative pregnant women between 19-28 weeks gestation were RHD genotyped. Foetal RHD status was determined by real-time PCR in 296 maternal plasma samples. In particular cases, RHDΨ and RHD-CE-Ds alleles were investigated in paternal DNA. Umbilical cord blood was collected at birth, and serological and molecular studies were performed. RESULTS: Of the 298 maternal samples, 288 were D-/RHD- and 10 D-/RHD+ (2 RHD*DAR; 5 RHD-CE-Ds; 3 RHDΨ). Plasma from RHD*DAR carriers was not analysed. Real-time PCR showed 210 RHD+ and 78 RHD- foetuses and 8 inconclusive results. In this latter group, paternal molecular studies were useful to report a RHD negative status in 5 foetuses while only 3 remained inconclusive. All the results, except one false positive due to a silent allele (RHD[581insG]), agreed with the neonatal typing performed in cord blood. DISCUSSION: The protocol used for non-invasive prenatal RHD genotyping proved to be suitable to determine foetal RHD status in our admixed population. The knowledge of the genetic background of the population under study and maternal and paternal molecular analysis can reduce the number of inconclusive results when investigating foetal RHD status.
Authors: Sina P Müller; Iris Bartels; Werner Stein; Günther Emons; Kai Gutensohn; Michael Köhler; Tobias J Legler Journal: Transfusion Date: 2008-08-07 Impact factor: 3.157
Authors: G L Daniels; B H Faas; C A Green; E Smart; P A Maaskant-van Wijk; N D Avent; H A Zondervan; A E von dem Borne; C E van der Schoot Journal: Transfusion Date: 1998-10 Impact factor: 3.157
Authors: C Rouillac-Le Sciellour; V Sérazin; Y Brossard; O Oudin; C Le Van Kim; Y Colin; Y Guidicelli; M Menu; J-P Cartron Journal: Transfus Clin Biol Date: 2008-03-28 Impact factor: 1.406
Authors: Sebastián Blanco; Maria C Frutos; Luis H Carrizo; Nuria Nogués; Sandra V Gallego Journal: Blood Transfus Date: 2020-06-04 Impact factor: 3.443
Authors: Rozieyati Mohamed Saleh; Zulkafli Zefarina; Nor Fazila Che Mat; Geoffrey Keith Chambers; Hisham Atan Edinur Journal: Int J Prev Med Date: 2018-05-16