Publication | Open Access
Noninvasive Prenatal Diagnosis of Fetal Trisomy 18 and Trisomy 13 by Maternal Plasma DNA Sequencing
291
Citations
27
References
2011
Year
Parallel SequencingGeneticsGenetic EpidemiologyGynecologyGenomicsPrenatal ScreeningHigh Throughput SequencingFetal Trisomy 18EpigeneticsGenome AnalysisBiostatisticsPublic HealthMolecular DiagnosticsPersonal GenomicsAneuploidyPrenatal DiagnosisBioinformatics ApproachPrenatal TestingNoninvasive Prenatal DiagnosisBioinformaticsFunctional GenomicsSequencingDevelopmental AnomalyPrenatal Genetic TestingNext-generation SequencingMaternal Plasma DnaPediatricsPregnant WomenMedicine
Massively parallel sequencing of maternal plasma DNA can accurately detect fetal trisomy 21, but its accuracy for trisomies 13 and 18 remains uncertain due to limited data. The study aimed to enhance detection of trisomy 13 and 18 by employing a non‑repeat‑masked reference genome to increase aligned reads. The authors sequenced plasma DNA from 392 pregnancies (25 trisomy 13, 37 trisomy 18) using massively parallel sequencing, applied a non‑repeat‑masked reference genome, and corrected GC bias to improve read alignment. With the enhanced pipeline, all 25 trisomy 13 cases and 34 of 37 trisomy 18 cases were detected with 98.9% and 98.0% specificity, respectively, demonstrating that non‑invasive prenatal diagnosis of trisomy 13 and 18 by maternal plasma DNA sequencing is feasible.
Massively parallel sequencing of DNA molecules in the plasma of pregnant women has been shown to allow accurate and noninvasive prenatal detection of fetal trisomy 21. However, whether the sequencing approach is as accurate for the noninvasive prenatal diagnosis of trisomy 13 and 18 is unclear due to the lack of data from a large sample set. We studied 392 pregnancies, among which 25 involved a trisomy 13 fetus and 37 involved a trisomy 18 fetus, by massively parallel sequencing. By using our previously reported standard z-score approach, we demonstrated that this approach could identify 36.0% and 73.0% of trisomy 13 and 18 at specificities of 92.4% and 97.2%, respectively. We aimed to improve the detection of trisomy 13 and 18 by using a non-repeat-masked reference human genome instead of a repeat-masked one to increase the number of aligned sequence reads for each sample. We then applied a bioinformatics approach to correct GC content bias in the sequencing data. With these measures, we detected all (25 out of 25) trisomy 13 fetuses at a specificity of 98.9% (261 out of 264 non-trisomy 13 cases), and 91.9% (34 out of 37) of the trisomy 18 fetuses at 98.0% specificity (247 out of 252 non-trisomy 18 cases). These data indicate that with appropriate bioinformatics analysis, noninvasive prenatal diagnosis of trisomy 13 and trisomy 18 by maternal plasma DNA sequencing is achievable.
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