Analysis of complex chromosomal structural variants through optical genome mapping integrated with karyotyping
Xiaoxi Zhu1, Huiling Zheng2, Xue Wan1
1Key Laboratory of Cell Engineering of Guizhou Province, Guizhou Biomanufacturing Laboratory, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
Frontiers in Genetics
|September 10, 2025
Summary
Optical genome mapping (OGM) accurately identifies complex chromosomal rearrangements in couples with recurrent spontaneous abortion (RSA). This advanced technology improves genetic diagnosis and counseling for RSA, overcoming limitations of traditional methods.
Area of Science:
- Genetics
- Genomics
- Reproductive Medicine
Background:
- Parental chromosomal structural variations (SVs) are a key cause of recurrent spontaneous abortion (RSA).
- Complex chromosomal rearrangements (CCRs) in carriers often lead to miscarriage despite normal phenotypes.
- Standard clinical methods struggle to detect all SV types, complicating genetic counseling for RSA couples.
Purpose of the Study:
- To utilize optical genome mapping (OGM) for rapid and accurate identification of complex SVs in RSA couples.
- To analyze genetic information within breakpoint regions for enhanced cellular and genetic counseling.
- To provide a comprehensive scientific basis for genetic counseling in RSA.
Main Methods:
- Selected nine subjects from two families undergoing genetic counseling for RSA.
- Performed chromosomal karyotype analysis and optical genome mapping (OGM).
- Used Sanger sequencing to validate OGM findings for SV carriers.
Main Results:
- OGM precisely identified complex SVs, including a novel translocation variant of the KIF7 gene associated with miscarriage in Family 1.
- OGM determined accurate karyotypes for SV carriers in Family 2, resolving ambiguities from initial analysis.
- OGM technology effectively detected intricate and cryptic SVs missed by traditional karyotyping.
Conclusions:
- OGM significantly enhances diagnostic rates for the genetic causes of RSA by precisely identifying complex SVs.
- The study provides a robust method for breakpoint mapping and gene interpretation, aiding RSA disease assessment and counseling.
- Further large-scale studies are needed to validate findings, and the role of KIF7 in RSA requires experimental verification.
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