Embryo Aneuploidy Predictors from Morphology and miRNA

124 human embryos from an IVF center were analyzed to identify noninvasive predictors of chromosomal aneuploidy. Achmad Kemal Harzif published this dataset in 2026, containing metrics on embryo morphology, morphokinetics, miRNA expression, and cell-free DNA. The study found 50.8% of the embryos were aneuploid, with miRNA-191 showing an 8.1-fold higher expression in aneuploid cases.

Use Cases

• Predict embryo ploidy status using miRNA-191 expression levels and expansion category.
• Classify aneuploidy from morphokinetic parameters like pronuclear fading time and third cell cycle synchrony.
• Assess chromosomal status by integrating cell-free DNA (cfDNA) concentration with miRNA-372 expression.
• Build a model using receiver operating characteristic (ROC) analysis on miRNA-191 (AUC 0.745) and miRNA-372 (AUC 0.638).
• Analyze the relationship between embryo morphology, morphokinetics, and aneuploidy status for 124 day-5 blastocysts.

Strengths

• 124 embryo samples with confirmed ploidy status (50.8% aneuploid).
• Model performance metrics provided, including AUC, sensitivity, and specificity for key predictors.
• Multiple data modalities integrated: morphology, morphokinetics, miRNA expression, and cell-free DNA.

Limitations

• Small sample size of 124 embryos limits statistical power and generalizability.
• Data collected from a single center over one year (Dec 2021 - Dec 2022), introducing potential selection bias.
• The 5.5 KB file size suggests a very limited feature set or aggregated summary data.

Provenance

Source

Achmad Kemal Harzif via figshare.

Collection Method

Cross-sectional study using non-probability consecutive sampling of embryos from an IVF center.

Time Range

December 28, 2021 to December 31, 2022.

Freshness

Last updated in April 2026.

Geography

Single IVF center, location unspecified.