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Molecular Characterization of a Large Cohort of Mucopolysaccharidosis Patients: Iran Mucopolysaccharidosis Re-Diagnosis Study (Impression)
source: Human mutation
year: 2022
authors: Ghaffari SR,Rafati M,Shadnoush M,Pourbabaee S,Aghighi M,Mirab Samiee S,Kermanchi J,Alaei MR,Salehpour S,Amirkashani D,Setoodeh A,Sarkhail P,Badv RS,Aminzadeh M,Shiva S,Eshraghi P,Moravej H,Hashemipour M,Rostampour N,Hamidieh AA,Shamsian BS,Shams S,Zamanfar D,Ebrahimi A,Otadi A,Tara SZ,Barati Z,Fakhri L,Hoseini A,Amiri H,Ramandi S,Mostofinezhad N,Kani ZP,Mohammadyari E,Khosravi M,Saadati M,Hoseininasab F,Khorram Khorshid HR,Modaberisaber Y
summary/abstract:Mucopolysaccharidoses (MPSs) are rare, heterogeneous inborn errors of metabolism (IEM) diagnosed through a combination of clinical, biochemical, and genetic investigations. The aim of this study was molecular characterization of the largest cohort of Iranian MPS patients (302 patients from 289 unrelated families), along with tracking their ethnicity and geographical origins. 185/289 patients were studied using an IEM-targeted NGS panel followed by complementary Sanger sequencing, which led to the diagnosis of 154 MPS patients and 5 non-MPS IEMs (diagnostic yield: 85.9%). Furthermore, 106/289 patients who were referred with positive findings went through reanalysis and confirmatory tests which confirmed MPS diagnosis in 104. Among the total of 258 MPS patients, 225 were homozygous, 90 harbored novel variants, and 9 had copy number variations. MPS IV was the most common type (34.8%) followed by MPS I (22.7%) and MPS VI (22.5%). Geographical origin analysis unveiled a pattern of distribution for frequent variants in ARSB (c.430G>A, c.962T>C [p.Leu321Pro], c.281C>A [p.Ser94*]), GALNS (c.319G>A [p.Ala107Thr], c.860C>T [p.Ser287Leu], c.1042A>G [p.Thr348Ala]), and IDUA (c.1A>C [p.Met1Leu], c.1598C>G [p.Pro533Arg], c.1562_1563insC [p.Gly522Argfs*50]). Our extensive patient cohort reveals the genetic and geographic landscape of MPS in Iran, which provides insight into genetic epidemiology of MPS and can facilitate a more cost-effective, time-efficient diagnostic approach based on the region-specific variants.
organization: Department of Genomics, Fetal Health Research Center, Hope Generation Foundation, Tehran, Iran.DOI: 10.1002/humu.24328
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