Factors associated with de novo aneuploidy across different preimplantation genetic testing cycles: a retrospective cohort study - Report - MDSpire

Factors associated with de novo aneuploidy across different preimplantation genetic testing cycles: a retrospective cohort study

  • By

  • Hongfang Liu

  • Hongxing Li

  • Xiaojuan Xu

  • Aiping Zhang

  • Bin Mao

  • Xiaoling Ma

  • May 28, 2026

  • 0 min

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Determinants of de novo aneuploidy in various preimplantation genetic testing cycles

Overview

This study identifies advanced maternal age and blastocyst expansion degree as significant predictors of de novo aneuploidy in preimplantation genetic testing cycles. The findings highlight the importance of individualized risk assessment in embryo selection across different patient cohorts.

Background

Aneuploidy is a leading cause of early pregnancy loss and is associated with various reproductive challenges, including implantation failure and miscarriage. Understanding the determinants of aneuploidy is crucial for improving outcomes in assisted reproductive technology (ART). This study provides insights into how maternal and embryonic factors contribute to aneuploidy rates in preimplantation genetic testing.

Data Highlights

PGT TypeAneuploidy Rate
PGT-SR19.5%
PGT-A32.1%
PGT-M31.2%

Key Findings

  • Advanced maternal age (≥35 years) is a robust predictor of de novo aneuploidy.
  • Blastocyst expansion degree is significantly associated with aneuploidy in both PGT-SR and PGT-A cohorts.
  • In the PGT-A cohort, maternal age, AMH levels, ICM grade, and TE grade are significant predictors of aneuploidy.
  • TE grade is particularly correlated with aneuploidy in women aged ≥30 years in the PGT-M cohort.
  • No independent effects were found for semen parameters or stimulation protocols across any cohort.

Clinical Implications

Clinicians should consider advanced maternal age and blastocyst expansion degree when assessing the risk of aneuploidy in patients undergoing preimplantation genetic testing. These findings support the need for tailored embryo selection strategies to improve reproductive outcomes.

Conclusion

The study underscores the significance of maternal age and embryonic characteristics in predicting de novo aneuploidy, advocating for personalized approaches in preimplantation genetic testing.

Related Resources & Content

  1. American Society for Reproductive Medicine, ASRM, 2024 -- The use of preimplantation genetic testing for aneuploidy: a committee opinion
  2. Frontiers in Endocrinology, 2026 -- Genetic analysis of biopsy-related droplets in patients undergoing PGT-A and its potential application
  3. Frontiers in Endocrinology, 2026 -- Comparison of euploidy rates between progestin-primed ovarian stimulation and GnRH antagonist protocols: a single-center study in a mixed-ethnicity population
  4. Frontiers in Endocrinology, 2026 -- LH supplementation in ovarian stimulation: propensity score and generalized estimating equations analysis over 2000 embryos
  5. ScienceDirect, 2026 -- Oocyte-intrinsic aging drives whole-chromosome aneuploidy independent of ovarian reserve beyond maternal age as risk factor
  6. The Journal of Clinical Endocrinology & Metabolism — Effects of Negative Pregnancy Experiences in the First IVF Cycle on Future Pregnancy Results
  7. The use of preimplantation genetic testing for aneuploidy: a committee opinion (2024) | American Society for Reproductive Medicine | ASRM
  8. Oocyte-intrinsic aging drives whole-chromosome aneuploidy independent of ovarian reserve beyond maternal age as risk factor - ScienceDirect

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