ArticleDiagnostics (Basel, Switzerland)2024
Optical Genome Mapping for Chromosomal Aberrations Detection-False-Negative Results and Contributing Factors.
Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Structural Variation Sequencing of 26 Amniotic Fluid Samples With Partial Gene Duplications and Postnatal Follow-Up of the Fetuses.Prenatal diagnosis · 2026Article
- Optical genome mapping improves structural variant detection and characterization in syndromic and neurogenetic disorders.Human genetics · 2026Article
- Diagnostic evaluation and clinical utility of C-MoKa for prenatal genetic testing.Journal of translational medicine · 2026Article
- Revealing the impact of partial gene duplications in ASH1L: integration of optical genome mapping and RNA sequencing.Molecular cytogenetics · 2025Article
- Review
- Retrospective study on the utility of optical genome mapping as a follow-up method in genetic diagnostics.Journal of medical genetics · 2025Article
- The Impact of Chromosomal Mosaicisms on Prenatal Diagnosis and Genetic Counseling-A Narrative Review.Journal of personalized medicine · 2024Review
- Cancer Cytogenetics: Deep Roots, New Branches in the Age of Omics.Cancer genomics & proteomicsReview
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13 authors.
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Abstract
Optical genome mapping (OGM) has been known as an all-in-one technology for chromosomal aberration detection. However, there are also aberrations beyond the detection range of OGM. This study aimed to report the aberrations missed by OGM and analyze the contributing factors. OGM was performed by taking both GRCh37 and GRCh38 as reference genomes. The OGM results were analyzed in blinded fashion and compared to standard assays. Quality control (QC) metrics, sample types, reference genome, effective coverage and classes and locations of aberrations were then analyzed. In total, 154 clinically reported variations from 123 samples were investigated. OGM failed to detect 10 (6.5%, 10/154) aberrations with GRCh37 assembly, including five copy number variations (CNVs), two submicroscopic balanced translocations, two pericentric inversion and one isochromosome (mosaicism). All the samples passed pre-analytical and analytical QC. With GRCh38 assembly, the false-negative rate of OGM fell to 4.5% (7/154). The breakpoints of the CNVs, balanced translocations and inversions undetected by OGM were located in segmental duplication (SD) regions or regions with no DLE-1 label. In conclusion, besides variations with centromeric breakpoints, structural variations (SVs) with breakpoints located in large repetitive sequences may also be missed by OGM. GRCh38 is recommended as the reference genome when OGM is performed. Our results highlight the necessity of fully understanding the detection range and limitation of OGM in clinical practice.
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