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The Performance of Whole Genome Amplification Methods and Next-Generation Sequencing for Pre-Implantation Genetic Diagnosis of Chromosomal Abnormalities
Authors:Na Li  Li Wang  Hui Wang  Minyue Ma  Xiaohong Wang  Yi Li  Wenke Zhang
Institution:1. Department of Gynecology and Obstetrics, Reproductive Medicine Center, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, China; Department of Obstetrics and Gynecology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
2. Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing 100853, China
3. Department of Gynecology and Obstetrics, Reproductive Medicine Center, Tangdu Hospital, Fourth Military Medical University, Xi'an 710038, China
Abstract:Reliable and accurate pre-implantation genetic diagnosis(PGD) of patient's embryos by next-generation sequencing(NGS) is dependent on efficient whole genome amplification(WGA) of a representative biopsy sample. However, the performance of the current state of the art WGA methods has not been evaluated for sequencing. Using low template DNA(15 pg) and single cells, we showed that the two PCR-based WGA systems Sure Plex and MALBAC are superior to the REPLI-g WGA multiple displacement amplification(MDA) system in terms of consistent and reproducible genome coverage and sequence bias across the 24 chromosomes, allowing better normalization of test to reference sequencing data. When copy number variation sequencing(CNV-Seq) was applied to single cell WGA products derived by either Sure Plex or MALBAC amplification, we showed that known disease CNVs in the range of 3e15 Mb could be reliably and accurately detected at the correct genomic positions. These findings indicate that our CNV-Seq pipeline incorporating either Sure Plex or MALBAC as the key initial WGA step is a powerful methodology for clinical PGD to identify euploid embryos in a patient's cohort for uterine transplantation.
Keywords:Single cells  Whole genome amplification  Next-generation sequencing  Copy number variation  Pre-implantation genetic diagnosis
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