Journal of Molecular DiagnosticsGenetic & Genomic MedicinePeer-reviewed journal article
Evaluation of Genomic Proximity Mapping (GPM) for Detecting Genomic and Chromosomal Structural Variants in Constitutional Disorders
He FangiD, Stephen M. EackeriD, Yu WuiD, Cate Randall PaschaliD, Mary Elizabeth WoodiD, Brad NelsoniD, Alexander Muratov, Yajuan J. LiuiD
Abstract
Genomic structural variants (SVs) are critical contributors to genetic diversity and disease, yet their detection remains challenging with conventional cytogenetic techniques, such as karyotyping, fluorescence in situ hybridization (FISH), and chromosome microarray analysis (CMA). These methods often lack the resolution and sensitivity needed for comprehensive characterization of chromosomal aberrations. To address these limitations, we implemented genomic proximity mapping (GPM), a genome-wide chromosome conformation capture technology, in a clinical setting. In this study, we applied GPM to a cohort of 123 patients with constitutional disorders, achieving a 100% concordance rate in detecting 411 CNVs and 39 structural rearrangements, in addition to novel findings missed by standard methods. GPM demonstrated unique advantages, such as resolving both balanced and unbalanced chromosomal rearrangements with precise (<5kb) breakpoint resolution, maintaining robust performance with challenging samples, including formalin-fixed, paraffin-embedded (FFPE) tissues, and detecting mosaicism with high sensitivity. Furthermore, GPM reliably provided detailed copy number and loss-of-heterozygosity profiles, streamlining workflows and enhancing diagnostic resolution. GPM represents a transformative tool for genomic diagnostics, offering a high-resolution, comprehensive approach to detecting diverse genomic alterations. Its ability to address limitations of conventional cytogenetics methods positions GPM as a needed advance in the diagnosis, prognosis, and therapeutic management of genetic disorders.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- approach: experimental assay
- Citations
- 4
- FWCI
- 2.33
- Field percentile
- top 11%
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