Over the past years, noninvasive prenatal testing (NIPT) for fetal aneuploidy detection has become a clinical reality.
1 Most NIPT providers focus on the detection of only the most common aneuploidies, trisomies 21, 18, and 13. However, random genome sequencing not only enables the detection of the viable fetal trisomies but also other chromosomal aneuploidies and even segmental fetal imbalances.
2,3 Applying a similar large parallel sequencing approach to plasma-derived DNA from patients with cancer has recently been shown to detect tumor-associated copy number profiles in selected tumors prone to copy number changes.
4-6 We optimized a large parallel sequencing–based NIPT dataset and analysis, which not only interrogates the common trisomies but also allows the genomewide discrimination of fetal and maternal segmental aneuploidies.
3