ArticleMolecular medicine reports2020
Detection of chromosomal abnormalities in spontaneous miscarriage by low‑coverage next‑generation sequencing.
Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Estimation on risk of spontaneous abortions by genomic disorders from a meta-analysis of microarray results on large case series of pregnancy losses.Molecular genetics & genomic medicine · 2023Pooled it
- The relationship between fetal tissue chromosomal karyotype and clinical characteristics in patients with spontaneous abortion: a retrospective study.BMC pregnancy and childbirth · 2025Article
- The hidden causes of pregnancy loss: a closer look.Journal of translational medicine · 2025Article
- The value of increasing sequencing depth for noninvasive prenatal screening for whole chromosomal aneuploidy.Scientific reports · 2025Article
- Genetic analysis of chorionic villus tissues in early missed abortions.Scientific reports · 2023Article
- Prevalence of chromosomal alterations in first-trimester spontaneous pregnancy loss.Nature medicine · 2023Article
- Chromosomal Copy Number Variation Analysis in Pregnancy Products from Recurrent and Sporadic Miscarriage Using Next-Generation Sequencing.Reproductive sciences (Thousand Oaks, Calif.) · 2022Article
- Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease.Frontiers in genetics · 2022Article
- Copy number variation characterization and possible candidate genes in miscarriage and stillbirth by next-generation sequencing analysis.The journal of gene medicine · 2021Article
- Analysis of Genomic Copy Number Variation in Miscarriages During Early and Middle Pregnancy.Frontiers in genetics · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chromosomal abnormalities (CAs) can cause spontaneous miscarriage and increase the incidence of subsequent pregnancy loss and other complications. Presently, CAs are detected mainly by array comparative genomic hybridization (CGH) and single nucleotide polymorphism microarrays. The present study developed a low‑coverage next‑generation sequencing method to detect CAs in spontaneous miscarriage and assess its clinical performance. In total, 1,401 patients who had experienced an abortion were enrolled in the present study and divided into two groups. In group I, 437 samples that had been previously validated by array CGH were used to establish a method to detect CAs using a semiconductor sequencing platform. In group II, 964 samples, which were not verified, were assessed using established methods with respect to clinical significance. Copy number variant (CNV)‑positive and euploidy samples were verified by array CGH and short tandem repeat profiling, respectively, based on quantitative fluorescent PCR. The low‑coverage sequencing method detected CNVs >1 Mb in length and a total of 3.5 million unique reads. Similar results to array CGH were obtained in group I, except for six CNVs <1 Mb long. In group II, there were 341 aneuploidies, 195 CNVs, 25 mosaicisms and 403 euploidies. Overall, among the 1,401 abortion samples, there were 536 aneuploidies, 263 CNVs, 34 mosaicisms, and 568 euploidies. Trisomies were present in all autosomal chromosomes. The most common aneuploidies were T16, monosomy X, T22, T15, T21 and T13. Furthermore, one tetrasomy 21, one CNV associated with Wolf‑Hirschhorn syndrome, one associated with DiGeorge syndrome and one associated with both Prader‑Willi and Angelman syndromes were identified. These four cases were confirmed by short tandem repeat profiling and array CGH. Quantitative fluorescent PCR revealed nine polyploidy samples. The present method demonstrated equivalent efficacy to that of array CGH in detecting CNVs >1 Mb, with advantages of requiring less input DNA and lower cost.
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