Population Characteristics of the Spectrum and Frequencies of


Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
17 Oct 2024
Historique:
received: 30 08 2024
revised: 04 10 2024
accepted: 15 10 2024
medline: 26 10 2024
pubmed: 26 10 2024
entrez: 26 10 2024
Statut: epublish

Résumé

Cystic fibrosis (CF) is one of the most common autosomal-recessive disorders worldwide. The incidence of CF depends on the prevalence of cystic fibrosis transmembrane conductance regulator gene ( The search for the causes of mutations in the transmembrane conductance regulator gene (CFTR) was carried out using targeted next-generation sequencing (NGS) on the Illumina platform in patients with cystic fibrosis from the Republic of Bashkortostan (Russia), taking into account the ethnic structure of the sample. A total of 35 distinct causal variants were found in 139 cases from 129 families. Five (F508del, E92K, 3849+10kbC>T, CFTRdele2.3, L138ins) explain 78.7% of identified CF causal alleles. Variants N13103K and 394delTT were found in four families each. Variants 2143delT, S1196X, W1282X, Y84X, G194R, and 1525-1G>A, as well as the two previously described complex alleles-c. [S466X; R1070Q] and str.[G509D;E217G]-were found in two or three families each. Twenty additional variants occurred only once. Variant c.3883_3888dup has not been described previously. Thus, regional and ethnic features were identified in the spectrum of frequencies of pathogenic variants of the CFTR gene in the three major sub-groups of patients-Russians, Tatars, and Bashkirs. Taking into account these results, highlighting the genetic specificity of the region, a more efficient search for CFTR mutations in patients can be performed. In particular it is possible to choose certain test kits for quick and effective genetic screening before use of NGS sequencing.

Sections du résumé

BACKGROUND/OBJECTIVES OBJECTIVE
Cystic fibrosis (CF) is one of the most common autosomal-recessive disorders worldwide. The incidence of CF depends on the prevalence of cystic fibrosis transmembrane conductance regulator gene (
METHODS METHODS
The search for the causes of mutations in the transmembrane conductance regulator gene (CFTR) was carried out using targeted next-generation sequencing (NGS) on the Illumina platform in patients with cystic fibrosis from the Republic of Bashkortostan (Russia), taking into account the ethnic structure of the sample.
RESULTS RESULTS
A total of 35 distinct causal variants were found in 139 cases from 129 families. Five (F508del, E92K, 3849+10kbC>T, CFTRdele2.3, L138ins) explain 78.7% of identified CF causal alleles. Variants N13103K and 394delTT were found in four families each. Variants 2143delT, S1196X, W1282X, Y84X, G194R, and 1525-1G>A, as well as the two previously described complex alleles-c. [S466X; R1070Q] and str.[G509D;E217G]-were found in two or three families each. Twenty additional variants occurred only once. Variant c.3883_3888dup has not been described previously. Thus, regional and ethnic features were identified in the spectrum of frequencies of pathogenic variants of the CFTR gene in the three major sub-groups of patients-Russians, Tatars, and Bashkirs.
CONCLUSIONS CONCLUSIONS
Taking into account these results, highlighting the genetic specificity of the region, a more efficient search for CFTR mutations in patients can be performed. In particular it is possible to choose certain test kits for quick and effective genetic screening before use of NGS sequencing.

Identifiants

pubmed: 39457459
pii: genes15101335
doi: 10.3390/genes15101335
pii:
doi:

Substances chimiques

Cystic Fibrosis Transmembrane Conductance Regulator 126880-72-6
CFTR protein, human 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministry of Science and Higher Education of the Russian Federation
ID : agreement No. 075-15-2022-310 from 20 April 2022

Auteurs

Guzel Ayupova (G)

Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.

Sergey Litvinov (S)

Institute of Biochemistry and Genetics, 450000 Ufa, Russia.

Vita Akhmetova (V)

Institute of Biochemistry and Genetics, 450000 Ufa, Russia.

Ildar Minniakhmetov (I)

Endocrinology Research Centre, 117292 Moscow, Russia.

Natalia Mokrysheva (N)

Endocrinology Research Centre, 117292 Moscow, Russia.

Rita Khusainova (R)

Department of Medical Genetics and Fundamental Medicine, Bashkir State Medical University, 450008 Ufa, Russia.
Institute of Biochemistry and Genetics, 450000 Ufa, Russia.
Endocrinology Research Centre, 117292 Moscow, Russia.

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Classifications MeSH