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Digital PCR Assay Utilizing In-Droplet Methylation-Sensitive Digestion for Estimation of Fetal cfDNA From Plasma
Richard Dannebaum1, Olga Mikhaylichenko1, David Siegel1
1Clinical Diagnostics Group, Bio-Rad Laboratories Inc., Pleasanton, California, USA.
Prenatal Diagnosis
|March 16, 2025
Summary
A new methylation-based droplet digital PCR (ddPCR) method accurately quantifies fetal fraction in cell-free DNA (cfDNA) for non-invasive prenatal screening (NIPS). This affordable and fast approach enhances NIPS sample quality assessment.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Non-invasive prenatal screening (NIPS) is increasingly recommended for all pregnancies.
- Accurate determination of fetal fraction (FF) in cell-free DNA (cfDNA) is critical for reliable NIPS results.
- Current FF quantification methods may have limitations in speed, cost, or accuracy.
Purpose of the Study:
- To develop and validate an affordable and fast methylation-based droplet digital PCR (ddPCR) assay for fetal fraction quantification.
- To assess the performance of this novel assay compared to next-generation sequencing (NGS) methods.
Main Methods:
- Biomarker discovery using placental and maternal cfDNA identified methylation patterns differentiating maternal and fetal DNA.
- Assays were designed targeting methylation-sensitive restriction enzyme (MSRE)-compatible regions.
- A 6-color, high-multiplex ddPCR workflow was established and tested on clinical samples.
Main Results:
- The ddPCR assay demonstrated high concordance with NGS results across various pregnancy types (female/male fetuses).
- Results showed strong agreement with chromosome Y-based calculations for male fetuses.
- The assay exhibited lower variability and higher reproducibility compared to previously reported NGS methods.
Conclusions:
- A novel, multiplex methylation ddPCR panel accurately measures fetal fraction in cfDNA.
- This method offers a potential standalone solution for assessing cfDNA sample quality for NIPS.
- The ddPCR approach presents an affordable and rapid alternative for FF quantification in prenatal diagnostics.

