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Published on: December 7, 2014
Germline JAK2 R564Q variants presenting as hereditary thrombocytosis: case report
Stephanie Franco1,2, Kinga Krawiec3, Piotr Strzalka3
1Department of Medicine, Northwestern Medicine, Chicago, IL, USA.
Germline JAK2 R564Q variants are linked to hereditary thrombocytosis (HT), a myeloproliferative neoplasm (MPN) predisposition. These cases suggest R564Q should be classified as likely pathogenic, aiding MPN diagnosis.
Area of Science:
- Hematology
- Genetics
- Oncology
Background:
- Myeloproliferative neoplasms (MPNs) are often linked to somatic mutations in JAK2, CALR, and MPL.
- Germline variants, particularly in JAK2, can predispose individuals to MPN-like disorders, such as hereditary thrombocytosis (HT).
- The JAK2 R564Q variant is an activating germline mutation associated with hereditary MPN-like syndromes.
Purpose of the Study:
- To present three cases of hereditary thrombocytosis (HT) with the germline JAK2 R564Q variant.
- To highlight conflicting classifications of the JAK2 R564Q variant in clinical reports.
- To advocate for germline testing in specific MPN patient populations.
Main Methods:
- Case report analysis of three unrelated individuals with HT and the JAK2 R564Q variant.
- Review of clinical reports and variant classifications from different laboratories.
- Analysis of segregation data to assess variant pathogenicity.
Main Results:
- Three unrelated individuals with HT were identified with the germline JAK2 R564Q variant.
- Two patients received variant classifications of 'uncertain significance' in 2023.
- A third patient received a 'likely pathogenic' classification from a different laboratory, suggesting a need for re-evaluation.
- These cases provide segregation data supporting the pathogenicity of JAK2 R564Q.
Conclusions:
- The JAK2 R564Q variant's classification should be reconsidered as likely pathogenic.
- Germline testing for MPN predisposition should be considered for young patients, those with familial clustering, or idiopathic cases.
- Resolving conflicting variant classifications in databases like ClinVar is crucial for accurate diagnosis and patient management.
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