Department of Obstetrics and Gynecology, Center for Reproductive Medicine, Peking University Third Hospital, Beijing, 100191, China.
Key Laboratory of Assisted Reproduction, Ministry of Education and Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing, 100191, China.
J Assist Reprod Genet. 2020 May;37(5):1239-1250. doi: 10.1007/s10815-020-01753-2. Epub 2020 Apr 29.
Preimplantation genetic diagnosis (PGD) analysis can be challenging for couples who carry more than one genetic condition. In this study, we describe a new PGD strategy to select which embryo(s) to transfer for two clinically challenging cases. Both cases lack essential family members for linkage analysis including de novo mutation combined with reciprocal translocation.
Diverging from conventional method, we performed direct point mutation detection, quantitative analysis of gene copy number, combined with linkage analysis assisted by SNP information from single sperm (or polar bodies), thus establishing an all-in-one protocol for single embryonic cell preimplantation diagnosis for two co-existing genetic conditions (monogenic disease and chromosomal abnormality) on the NGS-based platform.
Using this newly developed method, 15 embryos from two cases were screened, and two embryos were determined as free of the monogenic disease and specific chromosomal abnormalities created by the prospective father's reciprocal translocations.
This novel PGD strategy could effectively select unaffected embryo(s) for couples affected with or carrying a monogenetic disease and a reciprocal chromosome translocation concurrently.
对于携带一种以上遗传疾病的夫妇,胚胎植入前遗传学诊断(PGD)分析具有一定挑战性。在本研究中,我们描述了一种新的 PGD 策略,用于选择要移植的胚胎,以应对两个具有临床挑战性的病例。这两个病例都缺乏进行连锁分析所必需的家庭成员,包括新生突变和相互易位。
与传统方法不同,我们进行了直接点突变检测、基因拷贝数的定量分析,并结合单精子(或极体)的 SNP 信息进行连锁分析,从而在基于 NGS 的平台上建立了一种用于两种共存遗传疾病(单基因疾病和染色体异常)的单个胚胎细胞植入前诊断的一体化方案。
使用这种新开发的方法,对两个病例的 15 个胚胎进行了筛选,确定了两个胚胎没有受单基因疾病和由准父亲相互易位引起的特定染色体异常的影响。
这种新的 PGD 策略可有效选择受单基因疾病和相互易位影响或携带此类疾病的夫妇的不受影响的胚胎。