Zhang Wenke, Liu Ying, Wang Li, Wang Hui, Ma Minyue, Xu Mengnan, Xu Xiaofei, Gao ZhiYing, Duan Jinliang, Cram David S, Yao Yuanqing
Department of Obstetrics and Gynecology, Chinese PLA General Hospital, Beijing, 100853, China.
Department of Obstetrics and Gynecology, Affiliated Hospital of the Chinese People's Armed Police Force Logistics College, Tianjin, 300162, China.
J Assist Reprod Genet. 2016 Jul;33(7):899-906. doi: 10.1007/s10815-016-0724-2. Epub 2016 May 11.
The purpose of this study was to apply next-generation sequencing (NGS) technology to identify chromosomally normal embryos for transfer in preimplantation genetic diagnosis (PGD) cycles for translocations.
A total of 21 translocation couples with a history of infertility and repeated miscarriage presented at our PGD clinic for 24-chromosome embryo testing using copy number variation sequencing (CNV-Seq).
Testing of 98 embryo samples identified 68 aneuploid (69.4 %) and 30 (30.6 %) euploid embryos. Among the aneuploid embryos, the most common abnormalities were segmental translocation imbalances, followed by whole autosomal trisomies and monosomies, segmental imbalances of non-translocation chromosomes, and mosaicism. In all unbalanced embryos resulting from reciprocal translocations, CNV-Seq precisely identified both segmental imbalances, extending from the predicted breakpoints to the chromosome termini. From the 21 PGD cycles, eight patients had all abnormal embryos and 13 patients had at least one normal/balanced and euploid embryo available for transfer. In nine intrauterine transfer cycles, seven healthy babies have been born. In four of the seven children tested at 18 weeks gestation, the karyotypes matched with the original PGD results.
In clinical PGD translocation cycles, CNV-Seq displayed the hallmarks of a comprehensive diagnostic technology for high-resolution 24-chromosome testing of embryos, capable of identifying true euploid embryos for transfer.
本研究旨在应用下一代测序(NGS)技术,在用于易位的植入前基因诊断(PGD)周期中识别染色体正常的胚胎用于移植。
共有21对有不孕和反复流产病史的易位夫妇到我们的PGD诊所,使用拷贝数变异测序(CNV-Seq)对24条染色体的胚胎进行检测。
对98个胚胎样本进行检测,识别出68个非整倍体胚胎(69.4%)和30个(30.6%)整倍体胚胎。在非整倍体胚胎中,最常见的异常是节段性易位不平衡,其次是整条常染色体三体和单体、非易位染色体的节段性不平衡以及嵌合体。在所有由相互易位产生的不平衡胚胎中,CNV-Seq精确识别了两个节段性不平衡,范围从预测的断点延伸到染色体末端。在21个PGD周期中,8名患者的所有胚胎均异常,13名患者至少有一个正常/平衡且整倍体的胚胎可供移植。在9个宫内移植周期中,已出生7名健康婴儿。在7名妊娠18周时接受检测的儿童中,有4名的核型与最初的PGD结果相符。
在临床PGD易位周期中,CNV-Seq展现出了一种用于胚胎24条染色体高分辨率检测的综合诊断技术的特征,能够识别真正的整倍体胚胎用于移植。