ArticleMolecular genetics & genomic medicine2022
Systematic analysis of the causes of NIPS sex chromosome aneuploidy false-positive results.
Article in Molecular genetics & genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Prenatal SNP-array chromosomal microarray analysis in 3,549 pregnancies: indication-specific yields and clinical implications.BMC pregnancy and childbirth · 2026Article
- Article
- Discrepancies Between Sex Prediction and Fetal Sex After Prenatal Noninvasive Cell-Free DNA Screening.Journal of the Endocrine Society · 2025Review
- Performance of cell free DNA as a screening tool based on the results of first trimester screening.Molecular cytogenetics · 2024Article
- Systematic analysis of the causes of NIPS sex chromosome aneuploidy false-positive results.Molecular genetics & genomic medicine · 2022Article
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2 authors at 1 institution in 1 country.
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Abstract
objectiveTo investigate the underlying causes of false positives in NIPT of fetal sex chromosomal aneuploidies using fetal cell-free DNA from maternal plasma.
methodsIn the present study, we focus on a cohort of 23,984 pregnancy cases with NIPT. Karyotyping and FISH analysis were employed to verify the NIPT detected false-positive results of fetal sex chromosomal aneuploidies, and a comparative CNV sequencing on positive and negative NIPT cases was uniquely performed to elucidate the underlying causes.
resultsA total of 166 cases (0.69%) were identified as fetal sex chromosomal abnormalities, while 84 cases were found to be false-positive results possibly associated with maternal X chromosomal aneuploidies (n = 8), maternal X chromosomal structural abnormalities (n = 1), maternal CNVs (n = 4) as well as known placental mosaicism (n = 1). Furthermore, our study showed that the maternal chromosome CNV between 1-1.6 Mb was associated with false-positive NIPT results in sex chromosomal abnormalities.
conclusionOur research demonstrated the spectrum of factors causing false positives in NIPT of fetal sex chromosomal abnormalities based on a large cohort. The effective maternal CNV size cut-off identified in our study could integrate into bioinformatics algorithms for reducing the false-positive rate, however, further investigation is necessary to confirm this.
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