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Genetic Variant Detection in the CALR gene using High Resolution Melting Analysis
Published on: August 26, 2020
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Copy number variant discrepancy resolution using the ClinGen dosage sensitivity map results in updated clinical
Erin R Riggs1, Tristan Nelson1, Andrew Merz1
1Autism & Developmental Medicine Institute, Geisinger, Danville, PA, USA.
Human Mutation
|August 11, 2018
Summary
Resolving genomic variant interpretation conflicts is key for patient care. A review of copy number variants (CNVs) against the ClinGen Dosage Map found many required updated classifications, improving data accuracy.
Area of Science:
- Genomics
- Clinical Genetics
- Bioinformatics
Background:
- Genomic variant interpretation, especially for copy number variants (CNVs), faces challenges in resolving discrepancies.
- Dosage sensitivity, including haploinsufficiency (HI) and triplosensitivity (TS), is crucial for classifying pathogenic variants.
- Standardized interpretation of CNVs involving dosage-sensitive genes is essential for consistent patient care.
Purpose of the Study:
- To assess the accuracy of clinical CNV interpretations in ClinVar by comparing them against the ClinGen Dosage Map.
- To identify and re-evaluate CNVs overlapping known dosage-sensitive genes that were not classified as likely pathogenic (LP) or pathogenic (P).
- To improve the quality and consistency of genomic variant data in public databases.
Main Methods:
- Comparison of germline CNV interpretations in ClinVar with the ClinGen Dosage Map, which documents HI and TS genes/regions.
- Identification of CNVs overlapping dosage-sensitive genes but lacking LP/P classification.
- Re-evaluation of identified CNVs by their original submitting laboratories.
Main Results:
- 251 CNVs overlapping known dosage-sensitive genes were identified without LP/P classification.
- Following re-evaluation of 246 CNVs, 157 (63.8%) received updated clinical classifications.
- No changes were made to 79 (32.1%) classifications, and 10 (4.1%) resulted in other record updates.
Conclusions:
- The study highlights significant discrepancies in CNV interpretation, necessitating re-evaluation against established dosage sensitivity data.
- Re-evaluation led to a substantial number of updated classifications, enhancing the reliability of genomic variant data.
- This process contributes curated data to the public domain, aiding laboratories in focusing on complex interpretation challenges.
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