ArticleMolecular medicine reports2016
Single nucleotide polymorphism-based microarray analysis for the diagnosis of hydatidiform moles.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Identification of chromosomal abnormalities in miscarriages using single-nucleotide polymorphism arrays.Archives of gynecology and obstetrics · 2026Article
- Whole genome uniparental isodisomy detected using single nucleotide polymorphism (SNP) microarray in molar pregnancy: a case report.Molecular cytogenetics · 2025Article
- Advancements and Applications of Preimplantation Genetic Testing in In Vitro Fertilization: A Comprehensive Review.Cureus · 2024Review
- When a vesicular placenta meets a live fetus: case report of twin pregnancy with a partial hydatidiform mole.BMC pregnancy and childbirth · 2021Article
- Parental contribution to trisomy in heterozygous androgenetic complete moles.Scientific reports · 2020Article
- Incidence and outcome of gestational trophoblastic disease in lower Egypt.African health sciences · 2020Observational
- Genome-wide single nucleotide polymorphism array analysis unveils the origin of heterozygous androgenetic complete moles.Scientific reports · 2019Article
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Authors and funding
9 authors.
Funding
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Abstract
In clinical diagnostics, single nucleotide polymorphism (SNP)-based microarray analysis enables the detection of copy number variations (CNVs), as well as copy number neutral regions, that are absent of heterozygosity throughout the genome. The aim of the present study was to evaluate the effectiveness and sensitivity of SNP‑based microarray analysis in the diagnosis of hydatidiform mole (HM). By using whole‑genome SNP microarray analysis, villous genotypes were detected, and the ploidy of villous tissue was determined to identify HMs. A total of 66 villous tissues and two twin tissues were assessed in the present study. Among these samples, 11 were triploid, one was tetraploid, 23 were abnormal aneuploidy, three were complete genome homozygosity, and the remaining ones were normal ploidy. The most noteworthy finding of the present study was the identification of six partial HMs and three complete HMs from those samples that were not identified as being HMs on the basis of the initial diagnosis of experienced obstetricians. This study has demonstrated that the application of an SNP‑based microarray analysis was able to increase the sensitivity of diagnosis for HMs with partial and complete HMs, which makes the identification of these diseases at an early gestational age possible.
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