Genomic Prediction Inc, 671 US Highway One, North Brunswick, NJ 08902, USA; Rutgers University, School of Graduate Studies, Molecular Biosciences, 25 Bishop Place, New Brunswick, NJ 08901, USA.
Eastern Virginia Medical School, Reproductive Clinical Science, PO Box 1980, Norfolk, VA 23501, USA.
Am J Hum Genet. 2023 Apr 6;110(4):565-574. doi: 10.1016/j.ajhg.2023.03.003. Epub 2023 Mar 27.
Preimplantation genetic testing commonly employs simplistic copy-number analyses to screen for aneuploidy in blastocyst trophectoderm biopsies. Interpreting intermediate copy number alone as evidence of mosaicism has led to suboptimal estimation of its prevalence. Because mosaicism originates from mitotic nondisjunction, utilizing SNP microarray technology to identify the cell-division origins of aneuploidy might provide a more accurate estimation of its prevalence. The present study develops and validates a method of determining the cell-division origin of aneuploidy in the human blastocyst by using both genotyping and copy-number data in parallel. The concordance of predicted origins with expected results was demonstrated in a series of truth models (99%-100%). This included determination of X chromosome origins from a subset of normal male embryos, determination of the origins of translocation chromosome-related imbalances via embryos from couples with structural rearrangements, and prediction of either mitotic or meiotic origins via multiple rebiopsies of embryos with aneuploidy. In a cohort of blastocysts with parental DNA (n = 2,277), 71% were euploid, 27% were meiotic aneuploid, and 2% were mitotic aneuploid, indicating a low frequency of bona fide mosaicism in the human blastocyst (mean maternal age: 34.4). Chromosome-specific trisomies in the blastocyst were also consistent with observations previously established in products of conception. The ability to accurately identify mitotic-origin aneuploidy in the blastocyst could benefit and better inform individuals whose IVF cycle results in all aneuploid embryos. Clinical trials with this methodology might also help provide a definitive answer regarding the reproductive potential of bona fide mosaic embryos.
胚胎植入前遗传学检测通常采用简单的拷贝数分析方法,对囊胚滋养外胚层活检进行非整倍体筛查。单纯将中间拷贝数解释为嵌合体的证据,导致对其流行率的估计不够理想。由于嵌合体起源于有丝分裂不分离,利用 SNP 微阵列技术识别非整倍体的细胞分裂起源,可能提供更准确的流行率估计。本研究开发并验证了一种方法,通过同时使用基因分型和拷贝数数据,确定人类囊胚中非整倍体的细胞分裂起源。在一系列真实模型中(99%-100%),预测起源与预期结果的一致性得到了证明。这包括从一组正常男性胚胎中确定 X 染色体起源,通过来自结构重排夫妇的胚胎确定易位染色体相关不平衡的起源,以及通过对非整倍体胚胎进行多次再活检来预测有丝分裂或减数分裂起源。在一组具有父母 DNA 的囊胚(n=2277)中,71%是整倍体,27%是减数分裂非整倍体,2%是有丝分裂非整倍体,表明人类囊胚中真正的嵌合体频率较低(平均母亲年龄:34.4 岁)。囊胚中的染色体特异性三体与先前在妊娠产物中建立的观察结果一致。在囊胚中准确识别有丝分裂起源的非整倍体,可能会使所有非整倍体胚胎的 IVF 周期结果受益,并更好地告知个人。这种方法的临床试验也可能有助于对真正的嵌合胚胎的生殖潜力提供明确的答案。