Gemma Daina1,2, Laia Ramos1, Albert Obradors2,3, Mariona Rius1, Javier del Rey1,2, Olga Martinez-Pasarell4, Aida Pujol3, Jordi Benet1,2, Joaquima Navarro Ferreté1,2. 1. Unitat de Biologia Cel·lular i Genètica Mèdica, Facultat de Medicina, Departament de Biologia Cel·lular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, Barcelona, Spain. 2. Càtedra de Recerca Eugin-UAB, Barcelona, Spain. 3. Clínica Eugin, Barcelona, Spain. 4. Fundació Puigvert Hospital de Sant Pau i de la Santa Creu, Barcelona, Spain.
Abstract
OBJECTIVE: Enhancing implantation rates in preimplantation genetic diagnosis (PGD) cycles is still a challenging aspect to address. As aneuploidy can be one of the factors influencing the low implantation rates obtained, the aim of this work was to combine monogenic analysis with comprehensive aneuploidy screening (double factor) in order to transfer the selected (healthy and euploid) embryos in the same in-vitro fertilization (IVF) cycle. METHOD: In the present double-factor PGD (DF-PGD) approach, a single blastomere was biopsied from each embryo, and the whole genome amplification DNA product obtained was successfully used for both monogenic analysis and metaphase comparative genomic hybridization cytogenetic screening. The developed DF-PGD was applied to 62 embryos from seven families at risk for monogenic-inherited diseases in a total of seven IVF-DF-PGD cycles. RESULTS: While 68.2% of the diagnosed embryos were healthy for the monogenic diseases, only 43.3% of them were chromosomally normal considering aneuploidies and/or segmental chromosome imbalances. Six out of seven families had transferrable embryos according to DF-PGD results. Two healthy babies were born from the 11 selected embryo transfers. CONCLUSION: In families at risk for monogenic diseases, the DF-PGD is a useful tool to select healthy and potentially viable embryos for transfer, according to their chromosome complement.
OBJECTIVE: Enhancing implantation rates in preimplantation genetic diagnosis (PGD) cycles is still a challenging aspect to address. As aneuploidy can be one of the factors influencing the low implantation rates obtained, the aim of this work was to combine monogenic analysis with comprehensive aneuploidy screening (double factor) in order to transfer the selected (healthy and euploid) embryos in the same in-vitro fertilization (IVF) cycle. METHOD: In the present double-factor PGD (DF-PGD) approach, a single blastomere was biopsied from each embryo, and the whole genome amplification DNA product obtained was successfully used for both monogenic analysis and metaphase comparative genomic hybridization cytogenetic screening. The developed DF-PGD was applied to 62 embryos from seven families at risk for monogenic-inherited diseases in a total of seven IVF-DF-PGD cycles. RESULTS: While 68.2% of the diagnosed embryos were healthy for the monogenic diseases, only 43.3% of them were chromosomally normal considering aneuploidies and/or segmental chromosome imbalances. Six out of seven families had transferrable embryos according to DF-PGD results. Two healthy babies were born from the 11 selected embryo transfers. CONCLUSION: In families at risk for monogenic diseases, the DF-PGD is a useful tool to select healthy and potentially viable embryos for transfer, according to their chromosome complement.