DETECTION OF CALR MUTATIONS USING HIGH RESOLUTION MELTING CURVE ANALYSIS (HRM-A); APPLICATION ON A LARGE COHORT OF GREEK ET AND MF PATIENTS | Zendy

Andreas Giannopoulos | Zendy; Niki Rougkala | Zendy; Theodoros Loupis | Zendy; Marina Mantzourani | Zendy; NoraAthina Viniou | Zendy; Eleni Variami | Zendy; Theodoros P. Vassilakopoulos | Zendy; George Dryllis | Zendy; Ιoannis Kotsianidis | Zendy; Theodora Gougopoulou | Zendy; Marianna Politou | Zendy; Κωνσταντίνος Κωνσταντόπουλος | Zendy; George Vassilopoulos | Zendy

Open Access

DETECTION OF CALR MUTATIONS USING HIGH RESOLUTION MELTING CURVE ANALYSIS (HRM-A); APPLICATION ON A LARGE COHORT OF GREEK ET AND MF PATIENTS

Author(s) -

Andreas Giannopoulos,

Niki Rougkala,

Theodoros Loupis,

Marina Mantzourani,

NoraAthina Viniou,

Eleni Variami,

Theodoros P. Vassilakopoulos,

George Dryllis,

Ιoannis Kotsianidis,

Theodora Gougopoulou,

Marianna Politou,

Κωνσταντίνος Κωνσταντόπουλος,

George Vassilopoulos

Publication year - 2019

Publication title -

mediterranean journal of hematology and infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.682

H-Index - 31

ISSN - 2035-3006

DOI - 10.4084/mjhid.2019.009

Subject(s) - medicine , high resolution melt , cohort , melting curve analysis , resolution (logic) , oncology , genetics , gene , real time polymerase chain reaction , polymerase chain reaction , artificial intelligence , computer science , biology

Overall, our method could rapidly and cost-effectively detect the mutation status in a representative cohort of Greek patients; the mutation make-up in our group was not different from what has been published for other national groups.

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