OBJECTIVE: To develop and assess a polymerase chain reaction (PCR)-based preimplantation genetic diagnosis (PGD) approach for detection of chromosomal imbalances in embryos. DESIGN: A prospective study of embryos derived from chromosome translocation carriers that have undergone PGD using a novel molecular-based approach. SETTING: A reference molecular genetics laboratory specialized in the provision of transport PGD services and a private IVF clinic. PATIENT(S): Twenty-seven couples carrying 12 different reciprocal translocations and 2 Robertsonian translocations. INTERVENTION(S): Preimplantation genetic diagnosis from chromosome translocation carriers on blastomeres biopsied from cleavage stage embryos. MAIN OUTCOME MEASURE(S): Embryo diagnosis rate, pregnancy rate (PR), implantation rate, take-home-baby rate. RESULT(S): Overall, 241/251 (96.0%) embryos were successfully diagnosed for chromosome rearrangements. Preimplantation genetic screening was included in the protocol of 12 couples, involving analysis of 90 embryos, 84 (93.3%) of which were successfully diagnosed and 53 (63.1%) showed aneuploidies. Embryos suitable for transfer were identified in 24 cycles. Eighteen couples achieved a clinical pregnancy (75.0% PR/embryo transfer), with a total of 31 embryos implanted (59.6% implantation rate). Ten patients (1 triplet, 1 twin, and 8 singleton pregnancies) have delivered 13 healthy babies, and the other patients (3 twins and 5 singletons) have currently ongoing pregnancies. CONCLUSION(S): The PCR-based PGD protocol for translocations has the potential to overcome several inherent limitations of fluorescence in situ hybridization-based tests, providing potential improvements in terms of test performance, automation, turnaround time, sensitivity, and reliability.
OBJECTIVE: To develop and assess a polymerase chain reaction (PCR)-based preimplantation genetic diagnosis (PGD) approach for detection of chromosomal imbalances in embryos. DESIGN: A prospective study of embryos derived from chromosome translocation carriers that have undergone PGD using a novel molecular-based approach. SETTING: A reference molecular genetics laboratory specialized in the provision of transport PGD services and a private IVF clinic. PATIENT(S): Twenty-seven couples carrying 12 different reciprocal translocations and 2 Robertsonian translocations. INTERVENTION(S): Preimplantation genetic diagnosis from chromosome translocation carriers on blastomeres biopsied from cleavage stage embryos. MAIN OUTCOME MEASURE(S): Embryo diagnosis rate, pregnancy rate (PR), implantation rate, take-home-baby rate. RESULT(S): Overall, 241/251 (96.0%) embryos were successfully diagnosed for chromosome rearrangements. Preimplantation genetic screening was included in the protocol of 12 couples, involving analysis of 90 embryos, 84 (93.3%) of which were successfully diagnosed and 53 (63.1%) showed aneuploidies. Embryos suitable for transfer were identified in 24 cycles. Eighteen couples achieved a clinical pregnancy (75.0% PR/embryo transfer), with a total of 31 embryos implanted (59.6% implantation rate). Ten patients (1 triplet, 1 twin, and 8 singleton pregnancies) have delivered 13 healthy babies, and the other patients (3 twins and 5 singletons) have currently ongoing pregnancies. CONCLUSION(S): The PCR-based PGD protocol for translocations has the potential to overcome several inherent limitations of fluorescence in situ hybridization-based tests, providing potential improvements in terms of test performance, automation, turnaround time, sensitivity, and reliability.
Authors: Chris M J van Uum; Servi J C Stevens; Joseph C F M Dreesen; Marion Drüsedau; Hubert J Smeets; Bertien Hollanders-Crombach; Christine E M de Die-Smulders; Joep P M Geraedts; John J M Engelen; Edith Coonen Journal: Eur J Hum Genet Date: 2012-02-29 Impact factor: 4.246
Authors: E Mateu-Brull; L Rodrigo; V Peinado; A Mercader; I Campos-Galindo; F Bronet; S García-Herrero; M Florensa; M Milán; C Rubio Journal: J Assist Reprod Genet Date: 2019-11-06 Impact factor: 3.412
Authors: Alan R Thornhill; Alan H Handyside; Christian Ottolini; Senthil A Natesan; Jon Taylor; Karen Sage; Gary Harton; Kerry Cliffe; Nabeel Affara; Michalis Konstantinidis; Dagan Wells; Darren K Griffin Journal: J Assist Reprod Genet Date: 2015-01-06 Impact factor: 3.412
Authors: Joanne H Hsu; Hui Zeng; Kalistyn H Lemke; Aris A Polyzos; Jingly F Weier; Mei Wang; Anna R Lawin-O'Brien; Heinz-Ulrich G Weier; Benjamin O'Brien Journal: Int J Mol Sci Date: 2012-12-20 Impact factor: 5.923