Clinical Sciences, Research Group Genetics, Reproduction and Development, Centre for Medical Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090, Brussels, Belgium.
Support for Quantitative and Qualitative Research, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussels, Belgium.
J Assist Reprod Genet. 2024 Jul;41(7):1907-1915. doi: 10.1007/s10815-024-03141-6. Epub 2024 May 16.
Our objective is to predict the cumulative live birth rate (CLBR) and identify the specific subset within the population undergoing preimplantation genetic testing for monogenic disorders (PGT-M) and chromosomal structural rearrangements (PGT-SR) which is likely to exhibit a diminished expected CLBR based on various patient demographics.
We performed a single-centre retrospective cohort study including 1522 women undergoing 3130 PGT cycles at a referral centre for PGT. A logistic regression analysis was performed to predict the CLBR per ovarian stimulation in women undergoing PGT-M by polymerase chain reaction (PCR) or single-nucleotide polymorphism (SNP) array, and in women undergoing PGT-SR by SNP array, array comparative genomic hybridization (CGH) or next-generation sequencing (NGS).
The mean age of women was 32.6 years, with a mean AMH of 2.75 µg/L. Female age and AMH significantly affected the expected CLBR irrespective of the inheritance mode or PGT technology. An expected CLBR < 10% was reached above the age of 42 years and AMH ≤ 1.25 µg/L. We found no significant difference in outcome per ovarian stimulation between the different PGT technologies, i.e. PCR, SNP array, array CGH and NGS. Whereas per embryo transfer, we noticed a significantly higher probability of live birth when SNP array, array CGH and NGS were used as compared to PCR.
In a PGT-setting, couples with an unfavourable female age and AMH should be informed of the prognosis to allow other reproductive choices. The heatmap produced in this study can be used as a visual tool for PGT couples.
我们的目的是预测累积活产率(CLBR),并确定在进行单基因疾病(PGT-M)和染色体结构重排(PGT-SR)的胚胎植入前遗传学检测的人群中,基于各种患者人口统计学数据,哪些特定亚组可能表现出预期 CLBR 降低。
我们进行了一项单中心回顾性队列研究,纳入了在进行胚胎植入前遗传学检测的转诊中心接受 3130 次 PGT 周期的 1522 名女性。我们对通过聚合酶链反应(PCR)或单核苷酸多态性(SNP)阵列进行 PGT-M 的女性,以及通过 SNP 阵列、阵列比较基因组杂交(CGH)或下一代测序(NGS)进行 PGT-SR 的女性,进行了逻辑回归分析,以预测每一次卵巢刺激的 CLBR。
女性的平均年龄为 32.6 岁,平均 AMH 为 2.75µg/L。女性年龄和 AMH 显著影响预期 CLBR,无论遗传模式或 PGT 技术如何。年龄超过 42 岁且 AMH≤1.25µg/L 时,预期 CLBR<10%。我们发现不同 PGT 技术(即 PCR、SNP 阵列、CGH 阵列和 NGS)之间每一次卵巢刺激的结果没有显著差异。然而,每一次胚胎移植,我们注意到与 PCR 相比,使用 SNP 阵列、CGH 阵列和 NGS 时活产的可能性显著更高。
在 PGT 环境中,具有不利的女性年龄和 AMH 的夫妇应被告知预后,以便他们能够做出其他生殖选择。本研究中生成的热图可作为 PGT 夫妇的可视化工具。