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Absence of Missense Variant Detection in Inherited Dysfibrinogenemia May Result from a Poor Raw Data Analysis
Philippe De Mazancourt1,2,3, Elisabeth Mazoyer4, Myriam Hormi4
1UMR1179, Université de Versailles-Saint-Quentin, 1 Rue de la Source de la Bièvre, 78180 Montigny le Bretonneux, France.
International Journal of Molecular Sciences
|December 9, 2023
Summary
Identifying genetic variants for inherited dysfibrinogenemia can fail due to software issues or mosaicism in fibrinogen genes. Next-generation sequencing helped uncover a mosaic variant missed by Sanger analysis.
Area of Science:
- Genetics
- Molecular Biology
- Hematology
Background:
- Inherited dysfibrinogenemia is a rare bleeding disorder caused by genetic mutations in fibrinogen genes.
- Standard Sanger sequencing is typically effective for identifying causative DNA variants.
- Exceptional cases of variant identification failure necessitate further investigation.
Observation:
- Two cases of inherited dysfibrinogenemia presented with unidentified DNA variants after Sanger sequencing.
- The first case's failure was attributed to raw signal overcorrection by analysis software.
- The second case represented the first documented instance of mosaicism in a fibrinogen gene.
Findings:
- Sanger sequencing failed to detect the underlying genetic cause in two dysfibrinogenemia patients.
- Software-induced signal overcorrection masked a variant in the first patient.
- Low-level mosaicism in a fibrinogen gene was identified in the second patient using next-generation sequencing (NGS).
Implications:
- This study highlights limitations of Sanger sequencing in specific dysfibrinogenemia cases.
- It underscores the importance of considering software artifacts in genetic analysis.
- The findings emphasize NGS as a crucial tool for detecting mosaic variants in inherited bleeding disorders.
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