A mathematical model for predicting the number of transferable blastocysts in next-generation sequencing-based preimplantation genetic testing

2021 ◽  
Author(s):  
Yunni Cai ◽  
Min Ding ◽  
YuTing Zhang ◽  
Yanxin Sun ◽  
Fei Lin ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Genetic Testing ◽  
Next Generation Sequencing ◽  
Next Generation ◽  
Preimplantation Genetic Testing ◽  
Generation Sequencing

scholarly journals Universal strategy for preimplantation genetic testing for cystic fibrosis based on next generation sequencing

2019 ◽  
Vol 37 (1) ◽  
pp. 213-222 ◽  
Author(s):  
Sandrine Chamayou ◽  
Maria Sicali ◽  
Debora Lombardo ◽  
Carmelita Alecci ◽  
Carmen Ragolia ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Genetic Testing ◽  
Next Generation Sequencing ◽  
Gene Mutations ◽  
Single Embryo Transfer ◽  
Cystic Fibrosis Gene ◽  
Next Generation ◽  
Preimplantation Genetic Testing ◽  
Preimplantation Stage ◽  
Generation Sequencing

Abstract Purpose We developed and applied a universal strategy for preimplantation genetic testing for all cystic fibrosis gene mutations (PGT-CF) based on next-generation sequencing (NGS). Methods A molecular protocol was designed to diagnose all CF mutations at preimplantation stage. The detection of CF mutations was performed by direct gene sequencing and linkage strategy testing 38 specific SNPs located upstream and inside the gene for PGT-CF. Seventeen couples at risk of CF transmission decided to undergo PGT-CF. Trophectoderm cell biopsies were performed on day 5–6 blastocysts. PGT for aneuploidy (PGT-A) was performed from the same samples. Tested embryos were transferred on further natural cycles. Results PGT was performed on 109 embryos. Fifteen CF mutations were tested. PGT-CF and PGT-A were conclusive for respectively 92.7% and 95.3% of the samples. A mean of 24.1 SNPs was informative per couple. After a single embryo transfer on natural cycle, 81.3% of the transferred tested embryos were implanted. Conclusions The present protocol based on the entire CFTR gene together with informative SNPs outside and inside the gene can be applied to diagnose all CF mutations at preimplantation stage.

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