CYSTIC FIBROSIS MUTATION SPECTRUM
IN NORTH MACEDONIA:
A STEP TOWARD PERSONALIZED THERAPY Terzic M1, Jakimovska M1, Fustik S2, Jakovska T3, Sukarova-Stefanovska E1, Plaseska-Karanfilska D1,* *Corresponding Author: Professor Dijana Plaseska-Karanfilska, MD, PhD, Research Center for Genetic
Engineering and Biotechnology “Georgi D.Efremov,” Macedonian Academy of Sciences and Arts,
Av. Krste Misirkov 2, 1000 Skopje, Republic of North Macedonia. Tel: +389-23-235-400/264.
E-mail: dijana@manu. edu.mk page: 35 download article in pdf format
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Abstract
The most prevalent “rare” disease worldwide, cystic
fibrosis (CF), is an autosomal recessive multisystem disease,
caused by mutations in the CFTR gene. The knowledge
of CFTR mutations present in certain population is
important for designing a simple, fast and cost-effective
genetic testing approach, also for better management of
CF patients, including the administration of novel targeted
therapies. Here, we present genetic results of 158 unrelated
CF patients from the National CF Registry of the Republic
of North Macedonia. Initially, patients were screened for
the 11 most common CF mutations. Additional CF mutations
and large deletions/duplications in the CFTR gene
were analyzed using commercial kits. If the genotype was
undetermined, all CFTR exons were analyzed using Sanger
DNA sequencing or next generation sequencing (NGS)
(since 2014). The most common CF mutation, c.1521_
1523del (legacy name F508del), was found with an overall
incidence of 75.9%. Additionally, 26 other pathogenic
variants and three large deletions were identified in the
CFTR gene as a genetic cause of CF. Two of these, c.1070
C>T (p.Ala357Val) and c.2779_2788dup CTTGCTATGG
(p.Gly930AlafsTer48), were novel. According to the distribution
and prevalence of the pathogenic variants detected
in our patients, a fast and cost-effective method, based on
a single base extension was designed as a first-line CF
genetic test with a 90.0% detection rate within our population.
Furthermore, the knowledge of CFTR mutation
classes in our CF patients represents the first step toward
personalized therapy for CF in our country.
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