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Specifications of the ACMG/AMP Variant Classification Guidelines for Germline DICER1 Variant Curation
Jessica N Hatton1, Megan N Frone1, Hannah C Cox2
1Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA.
New guidelines for DICER1 variants improve tumor predisposition diagnosis. These gene-specific rules enhance accuracy in classifying DICER1 variants, aiding patient surveillance and treatment.
Area of Science:
- Genetics
- Oncology
- Molecular Biology
Background:
- Germline pathogenic variants in DICER1 are linked to various tumors.
- Accurate DICER1 variant classification is crucial for diagnosing tumor predisposition and guiding surveillance.
- Existing general guidelines (ACMG/AMP) lack gene-specific details for DICER1, leading to subjectivity.
Purpose of the Study:
- To develop and pilot gene-specific ACMG/AMP guidelines for DICER1 germline variant curation.
- To improve the accuracy and consistency of DICER1 variant classification.
- To reduce the frequency of uncertain variant classifications.
Main Methods:
- Formation of the DICER1 and miRNA-Processing Genes Variant Curation Expert Panel (VCEP) under ClinGen.
- Adaptation and piloting of guidelines using the FDA-approved ClinGen protocol.
- Classification of 40 diverse DICER1 variants (14 P/LP, 12 B/LB, 14 VUS/conflicting).
Main Results:
- Clinically meaningful classifications achieved for 82.5% (33/40) of pilot variants.
- 100% concordance for known Pathogenic/Likely Pathogenic and Benign/Likely Benign variants.
- Half of uncertain/conflicting variants were resolved (7/14), with 4 classified as LB and 3 as LP.
Conclusions:
- DICER1-specific guidelines effectively classify known variants and reduce uncertain classifications.
- The developed framework enhances objectivity and consistency in DICER1 variant curation.
- Adoption of these guidelines is recommended for improved diagnostic reliability and patient care.
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