ArticleInternational journal of molecular sciences2024
Discovery of Pathogenic Variants Associated with Idiopathic Recurrent Pregnancy Loss Using Whole-Exome Sequencing.
Article in International journal of molecular sciences, 2024. 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.
- A Genetic Landscape of Euploid Miscarriages From Couples With Recurrent Pregnancy Loss Through Whole Exome Sequencing.Molecular genetics & genomic medicine · 2026Article
- Association Study of Hyaluronan-Binding Protein 2 (International journal of molecular sciences · 2025Article
- Identification of the potential pathogenicity of a VUS in the ASL gene associated with argininosuccinic aciduria in an Iranian family.Molecular biology reports · 2025Article
- Genetic Association ofInternational journal of molecular sciences · 2025Article
- Distinct germ-line genetic mutation patterns correlate with reproductive outcomes in ICSI patients: a pilot study.Frontiers in genetics · 2025Article
- Whole-Exome Sequencing in Recurrent Pregnancy Loss: Current Evidence and Future Directions in Saudi Arabia.Medical archives (Sarajevo, Bosnia and Herzegovina) · 2025Review
- Association between sperm DNA fragmentation index and recurrent pregnancy loss: results from 1485 participants undergoing fertility evaluation.Frontiers in endocrinology · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Idiopathic recurrent pregnancy loss (RPL) is defined as at least two pregnancy losses before 20 weeks of gestation. Approximately 5% of pregnant couples experience idiopathic RPL, which is a heterogeneous disease with various causes including hormonal, chromosomal, and intrauterine abnormalities. Although how pregnancy loss occurs is still unknown, numerous biological factors are associated with the incidence of pregnancy loss, including genetic variants. Whole-exome sequencing (WES) was conducted on blood samples from 56 Korean patients with RPL and 40 healthy controls. The WES data were aligned by means of bioinformatic analysis, and the detected variants were annotated using machine learning tools to predict the pathogenicity of protein alterations. Each indicated variant was confirmed using Sanger sequencing. A replication study was also conducted in 112 patients and 114 controls. The Variant Effect Scoring Tool, Combined Annotation Dependent Depletion tool, Sorting Intolerant from Tolerant annotation tool, and various databases detected 10 potential variants previously associated with spontaneous abortion genes in patients by means of a bioinformatic analysis of WES data. Several variants were detected in more than one patient. Interestingly, several of the detected genes were functionally clustered, including some with a secretory function (mucin 4;
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