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Unraveling Structural Rearrangements of the CFH Gene Cluster in Atypical Hemolytic Uremic Syndrome Patients Using
Nikolai Tschernoster1, Florian Erger2, Patrick R Walsh3
1Cologne Center for Genomics, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany; Institute of Human Genetics, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
Insights
Molecular combing technology effectively detects structural variants in the Complement Factor H (CFH) gene cluster, improving genetic diagnosis for complement-related diseases. This method aids in understanding complex genetic variations linked to kidney and immune disorders.
Area of Science:
- Genetics
- Molecular Biology
- Immunology
Background:
- The Complement Factor H (CFH) gene cluster, including CFH and CFHR1-5, is crucial for regulating the complement system's alternative pathway.
- Mutations and structural variants (SVs) in the CFH gene cluster are associated with renal pathologies and immune diseases like age-related macular degeneration and systemic lupus erythematosus.
- Analyzing SVs in the CFH gene cluster is difficult due to high sequence homology.
Purpose of the Study:
- To apply Molecular Combing Technology for detecting and visualizing SVs within the CFH gene cluster.
- To completely resolve structural haplotypes of the CFH gene cluster.
- To improve molecular genetic yield in diagnosing CFH/CFHR-associated diseases.
Main Methods:
- Next-generation sequencing (NGS) gene panel sequencing as a first-line approach.
- Genomic Vision's Molecular Combing Technology for SV detection and visualization.
- Targeted enrichment for long DNA fragments (Samplix Xdrop) and Oxford Nanopore sequencing for breakpoint determination.
Main Results:
- Molecular combing successfully detected and visualized SVs within the CFH gene cluster.
- Three novel SVs were identified: a CFH/CFHR1 hybrid gene in two patients and a rare heterozygous CFHR4/CFHR1 deletion in a third patient.
- The combination of molecular combing and NGS improved the molecular genetic yield in this pilot study.
Conclusions:
- Molecular Combing Technology is a valuable tool for resolving complex structural variations in the CFH gene cluster.
- This approach enhances the molecular genetic diagnosis of patients with atypical hemolytic uremic syndrome and complement factor 3 glomerulopathy.
- Further validation in larger cohorts is warranted to establish this cost-effective method for CFH/CFHR-associated diseases.
Abstract:
Complement factor H (CFH) and its related proteins have an essential role in regulating the alternative pathway of the complement system. Mutations and structural variants (SVs) of the CFH gene cluster, consisting of CFH and its five related genes (CFHR1-5), have been reported in renal pathologies as well as in complex immune diseases like age-related macular degeneration and systemic lupus erythematosus. SV analysis of this cluster is challenging because of its high degree of sequence homology. Following first-line next-generation sequencing gene panel sequencing, we applied Genomic Vision's Molecular Combing Technology to detect and visualize SVs within the CFH gene cluster and resolve its structural haplotypes completely. This approach was tested in three patients with atypical hemolytic uremic syndrome and known SVs and 18 patients with atypical hemolytic uremic syndrome or complement factor 3 glomerulopathy with unknown CFH gene cluster haplotypes. Three SVs, a CFH/CFHR1 hybrid gene in two patients and a rare heterozygous CFHR4/CFHR1 deletion in trans with the common CFHR3/CFHR1 deletion in a third patient, were newly identified. For the latter, the breakpoints were determined using a targeted enrichment approach for long DNA fragments (Samplix Xdrop) in combination with Oxford Nanopore sequencing. Molecular combing in addition to next-generation sequencing was able to improve the molecular genetic yield in this pilot study. This (cost-)effective approach warrants validation in larger cohorts with CFH/CFHR-associated disease.
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