Abstract:ObjectiveTo explore the feasibility of high-throughput massively parallel genomic DNA sequencing technology for the noninvasive prenatal detection of fetal sex chromosome aneuploidies (SCAs).MethodsThe study enrolled pregnant women who were prepared to undergo noninvasive prenatal testing (NIPT) in the second trimester. Cell-free fetal DNA (cffDNA) was extracted from the mother’s peripheral venous blood and a high-throughput sequencing procedure was undertaken. Patients identified as having pregnancies associa… Show more
“…In several large prospective studies, the specificity of NIPS for SCAs detection was consistently low, leading to relatively higher false‐positive rates . Previously, we demonstrated that the overall predictive positive rate of NIPS for SCAs was 54.54% . In 2016, the international guidelines issued by the American College of Obstetricians and Gynaecologists (ACOG) claimed that the false‐positive rate of SCAs by NIPS was approximately 1% …”
Objective
To explore the impact of maternal sex chromosome aneuploidies (SCAs) and copy number variation (CNV) on false‐positive results of non‐invasive prenatal screening (NIPS) for predicting foetal SCAs.
Methods
In total, 22 844 pregnant women were recruited to undergo NIPS. Pregnant women with high‐risk of SCAs underwent prenatal diagnosis and maternal copy number variation sequencing (CNV‐seq).
Results
Among 117 women with high‐risk of SCAs, 72 accepted prenatal diagnosis, 86 accepted maternal CNV‐seq, and 21 had maternal sex chromosome abnormalities. The abnormality rate was significantly higher than women at low‐risk of SCAs (24.42% vs 3.51%). Using a novel parameter cffDNA (ChrX)/cffDNA, when the ratio was greater than 2, all foetuses had normal karyotype, and 75.0% (6/8) had abnormal maternal chromosome X. If the ratio was less than or equal to 2, only 10% (4/40) of the mothers had chromosome X CNV alterations, while 33.3% (13/40) of their foetuses had sex chromosomes CNV abnormalities.
Conclusions
Approximately 25% of pregnant women with SCAs predicted by NIPS had sex chromosome abnormalities as determined by CNV‐seq. The ratio of cffDNA (ChrX)/cffDNA can tentatively distinguish the maternal or foetal origin of abnormal cell‐free DNA. In a reanalysis of previous NIPS data, false‐positive results caused by maternal CNV might be elucidated.
“…In several large prospective studies, the specificity of NIPS for SCAs detection was consistently low, leading to relatively higher false‐positive rates . Previously, we demonstrated that the overall predictive positive rate of NIPS for SCAs was 54.54% . In 2016, the international guidelines issued by the American College of Obstetricians and Gynaecologists (ACOG) claimed that the false‐positive rate of SCAs by NIPS was approximately 1% …”
Objective
To explore the impact of maternal sex chromosome aneuploidies (SCAs) and copy number variation (CNV) on false‐positive results of non‐invasive prenatal screening (NIPS) for predicting foetal SCAs.
Methods
In total, 22 844 pregnant women were recruited to undergo NIPS. Pregnant women with high‐risk of SCAs underwent prenatal diagnosis and maternal copy number variation sequencing (CNV‐seq).
Results
Among 117 women with high‐risk of SCAs, 72 accepted prenatal diagnosis, 86 accepted maternal CNV‐seq, and 21 had maternal sex chromosome abnormalities. The abnormality rate was significantly higher than women at low‐risk of SCAs (24.42% vs 3.51%). Using a novel parameter cffDNA (ChrX)/cffDNA, when the ratio was greater than 2, all foetuses had normal karyotype, and 75.0% (6/8) had abnormal maternal chromosome X. If the ratio was less than or equal to 2, only 10% (4/40) of the mothers had chromosome X CNV alterations, while 33.3% (13/40) of their foetuses had sex chromosomes CNV abnormalities.
Conclusions
Approximately 25% of pregnant women with SCAs predicted by NIPS had sex chromosome abnormalities as determined by CNV‐seq. The ratio of cffDNA (ChrX)/cffDNA can tentatively distinguish the maternal or foetal origin of abnormal cell‐free DNA. In a reanalysis of previous NIPS data, false‐positive results caused by maternal CNV might be elucidated.
“…Noninvasive prenatal testing has been recommended as a first‐tier or second‐tier screening test for fetal common trisomies, with lower false‐positive rates and higher positive predictive values than serum biochemical screening . Noninvasive prenatal testing can also enable the detection of other aneuploidies, including sex chromosome aneuploidies (SCA) and structural chromosomal abnormalities . However, most of the published data have mainly focused on 3 common aneuploidies, SCA, and subchromosomal deletions/duplications.…”
Autosomal aneuploidies other than trisomies 21, 18, and 13 are not uncommon in routine clinical NIPT practice. Extra copies of chromosomes in rare cases can be associated with uniparental disomy. Most rare aneuploidies at NIPT have good pregnancy outcomes. Thus, invasive testing should be used with caution for these aneuploidies in routine clinical practice.
“…Gonosomal aberrations are theoretically exposed during NIPT in a similar way as any other aneuploidy. Nevertheless, the specificity is reported to be much lower in comparison with traditional screening of chromosomes 13, 18, and 21, especially for monosomy X . Ethical issues on reporting these sometimes nonsevere abnormalities aside, the incorporation of FF in statistical outcome—which is generally not done with, eg, the popular z ‐score approach—does improve performance .…”
Objective
During routine noninvasive prenatal testing (NIPT), cell‐free fetal DNA fraction is ideally derived from shallow‐depth whole‐genome sequencing data, preventing the need for additional experimental assays. The fraction of aligned reads to chromosome Y enables proper quantification for male fetuses, unlike for females, where advanced predictive procedures are required. This study introduces PREdict FetAl ComponEnt (PREFACE), a novel bioinformatics pipeline to establish fetal fraction in a gender‐independent manner.
Methods
PREFACE combines the strengths of principal component analysis and neural networks to model copy number profiles.
Results
For sets of roughly 1100 male NIPT samples, a cross‐validated Pearson correlation of 0.9 between predictions and fetal fractions according to Y chromosomal read counts was noted. PREFACE enables training with both male and unlabeled female fetuses. Using our complete cohort (nfemale = 2468, nmale = 2723), the correlation metric reached 0.94.
Conclusions
Allowing individual institutions to generate optimized models sidelines between‐laboratory bias, as PREFACE enables user‐friendly training with a limited amount of retrospective data. In addition, our software provides the fetal fraction based on the copy number state of chromosome X. We show that these measures can predict mixed multiple pregnancies, sex chromosomal aneuploidies, and the source of observed aberrations.
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