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Published on: August 24, 2013
Assessing the Pathogenicity of In-Frame CACNA1F Indel Variants Using Structural Modeling
Shalaw R Sallah1, Panagiotis I Sergouniotis1, Claire Hardcastle2
1Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicines and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom; Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester, United Kingdom.
Structural analysis of in-frame indel variants in CACNA1F helps predict pathogenicity for X-linked incomplete congenital stationary night blindness type 2 (CSNB2). Disease-correlated variants destabilize the Cav1.4α1 channel, aiding CSNB2 diagnosis.
Area of Science:
- Genomics
- Structural Biology
- Ophthalmology
Background:
- Small in-frame insertion-deletion (indel) variants are common genomic variations.
- Their impact on rare disease phenotypes, particularly CSNB2, is understudied.
- Predicting the pathogenicity of these indel variants is challenging.
Purpose of the Study:
- To interpret the pathogenicity of in-frame indel variants in CACNA1F using structural analysis.
- To investigate the structural and functional consequences of disease-correlated and benign variants.
- To improve diagnostic capabilities for CSNB2.
Main Methods:
- Homology modeling was employed for structural analysis of CACNA1F variants.
- 10 disease-correlated and 10 putatively benign in-frame indel variants were analyzed.
- Conservation analysis and assessment of variant location within modeled protein regions were performed.
Main Results:
- CSNB2-correlated variants exhibited higher conservation than benign variants.
- All disease-correlated variants were located within modeled regions of the Cav1.4α1 channel protein.
- Disease-correlated variants are predicted to destabilize the channel's structure and function.
Conclusions:
- Structural analysis of in-frame indel variants provides valuable insights into pathogenicity.
- This approach can enhance the diagnosis of CSNB2.
- Interpreting indel variant consequences through structural information is a key adjunct for rare disease diagnosis.

