{"title":"Spectrum of genetic alterations in patients with peroxisome biogenesis defects in the Iranian population: a case series study.","authors":"Sheyda Khalilian, Mohadeseh Fathi, Sanaz Jamshidi, Rasoul Madannejad, Arezou Sayad, Soudeh Ghafouri-Fard, Mohammad Miryounesi","doi":"10.1186/s12920-025-02126-3","DOIUrl":null,"url":null,"abstract":"<p><p>Peroxisomal disorders are a group of hereditary metabolic disorders that happen when peroxisomes are defective. Around 80% of individuals affected by peroxisomal disorders are classified within the spectrum of Zellweger syndromes with autosomal recessive inheritance pattern that results from mutations in one of the 13 PEX genes. Clinical exome sequencing plays a vital role in the diagnosis where the symptoms are atypical. In the current study, we used this technique to find the underlying genetic cause in 14 Iranian patients with peroxisomal disorders. PEX1 variants were detected in five patients. PEX2, PEX5, PEX6 and PEX7 variants were detected in three, one, one, and two cases, respectively. Finally, ACOX1 variants were identified in two cases. All cases except two cases were homozygote for the suspected variants in Zellweger syndrome-related genes. Two cases were compound heterozygote for variants in the PEX1 gene. In total, two novel variants were identified, including c.313 C > T (p.Gln105*) and c.961 A > T (p.Ile321Phe) in the PEX1 and ACOX1 genes, respectively. The present research expands the range of genetic variations observed in Iranian individuals diagnosed with various forms of Zellweger spectrum disorders.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"67"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11984031/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Medical Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12920-025-02126-3","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Peroxisomal disorders are a group of hereditary metabolic disorders that happen when peroxisomes are defective. Around 80% of individuals affected by peroxisomal disorders are classified within the spectrum of Zellweger syndromes with autosomal recessive inheritance pattern that results from mutations in one of the 13 PEX genes. Clinical exome sequencing plays a vital role in the diagnosis where the symptoms are atypical. In the current study, we used this technique to find the underlying genetic cause in 14 Iranian patients with peroxisomal disorders. PEX1 variants were detected in five patients. PEX2, PEX5, PEX6 and PEX7 variants were detected in three, one, one, and two cases, respectively. Finally, ACOX1 variants were identified in two cases. All cases except two cases were homozygote for the suspected variants in Zellweger syndrome-related genes. Two cases were compound heterozygote for variants in the PEX1 gene. In total, two novel variants were identified, including c.313 C > T (p.Gln105*) and c.961 A > T (p.Ile321Phe) in the PEX1 and ACOX1 genes, respectively. The present research expands the range of genetic variations observed in Iranian individuals diagnosed with various forms of Zellweger spectrum disorders.
过氧化物酶体疾病是一组遗传性代谢疾病,发生在过氧化物酶体缺陷时。大约80%的过氧化物酶体疾病患者属于齐薇格综合征,具有常染色体隐性遗传模式,由13个PEX基因之一的突变引起。临床外显子组测序在非典型症状的诊断中起着至关重要的作用。在目前的研究中,我们使用这种技术找到了14名伊朗过氧化物酶体疾病患者的潜在遗传原因。在5例患者中检测到PEX1变异。PEX2、PEX5、PEX6和PEX7变体分别在3例、1例、1例和2例中检测到。最后,在两个病例中鉴定出ACOX1变异。除2例外,其余病例均为齐薇格综合征相关基因疑似变异的纯合子。2例为PEX1基因变异的复合杂合子。总共鉴定出两种新的变异,包括c.313C > T (p.Gln105*)和C .961PEX1和ACOX1基因中的一个> T (p.i ile321phe)。目前的研究扩大了在诊断为各种形式齐薇格谱系障碍的伊朗个体中观察到的遗传变异的范围。
期刊介绍:
BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.