Sardarpour N, Bagherian H, Zafarghandi motlagh F, Shirzadeh T, Asnavandi S, Younesikhah S, et al . Mutational Analysis and Genotype Investigation of Less Known Gaucher Mutations through Haplotype Analysis in Iranian Gaucher Patients. Int J Mol Cell Med 2023; 12 (1) :40-50
URL:
http://ijmcmed.org/article-1-2035-en.html
1- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
2- Medical Genetics Lab of Dr. Zeinali, Kawsar Human Genetics Research Center, No. 41 Majlesi St., Vali Asr St, Tehran, Iran.
3- Department of Pediatric Endocrinology and Metabolism, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
4- Growth and Development Research Center, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
5- , zeinali@gmail.com
Abstract: (1003 Views)
Gaucher's disease (GD) is the most frequent lysosomal storage disorder resulting from a deficiency of the enzyme glucocerebrosidase (GBA) which causes the accumulation of glucocerebroside. More than 500 mutations have been reported on the GBA gene so far. In this study, we aimed to investigate more on the genotype of less known mutations through haplotype analysis to explain their disease-causing inheritance. Eight patients and three carriers from nine different families were enrolled in the study. DNA sequencing of all GBA gene’s exons was performed and pathogenicity of the mutations was investigated. Using GBA gene-linked STR markers, allele segregations were determined in some families. A total of six different mutations were determined. Five and three patients were identified to carry mutations in homozygous and compound heterozygote patterns respectively, three participants also were identified as carriers. The most prevalent mutations were c.1448 T>C and RecNcil, however, three less common mutations were identified (i.e., c.1223 C>T, c.1315 A>G, and c.1214 G>C). In conclusion, we evaluated six different mutations in Iranian patients and elucidated the inheritance of the three less-known mutations by linkage analysis.
Type of Study:
Original Article |
Subject:
Genetics & Disease Received: 2022/11/11 | Accepted: 2023/08/29 | Published: 2023/09/19