Literature DB >> 10737980

Determination of 30 X-linked adrenoleukodystrophy mutations, including 15 not previously described.

M B Lachtermacher1, H N Seuánez, A B Moser, H W Moser, K D Smith.   

Abstract

X-linked Adrenoleukodystrophy (X-ALD) is the most frequent peroxisomal disease. It mainly involves the nervous system white matter, adrenal cortex and testes. Several distinct clinical phenotypes are known. The principal biochemical abnormality is the accumulation of saturated very-long-chain fatty acids (VLCFAs : > C22:0, mainly C26:0), which is due to impaired capacity for beta-oxidation in peroxisomes. Diagnosis is usually based on the VLCFA levels in plasma or cultured skin fibroblasts in both patients and carriers. In 0.1% of affected males, however, the plasma C26:0 level is borderline normal, and 15% of obligate female carriers have normal results. Effective mutation detection in these families is therefore fundamental to unambiguously determine the genetic status of each individual at risk. Of particular concern are female members of kindreds segregating X-ALD mutations, because normal VLCFA levels do not guarantee lack of carrier status. We describe a fast method for detection of X-ALD mutations. The method is based on SSCP analysis of nested PCR fragments followed by sequence-determination reactions. Using this methodology we have found X-ALD mutations in 30 kindreds, including 15 not previously reported. Copyright 2000 Wiley-Liss, Inc.

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Year:  2000        PMID: 10737980     DOI: 10.1002/(SICI)1098-1004(200004)15:4<348::AID-HUMU7>3.0.CO;2-N

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  7 in total

1.  Molecular analysis in X-linked adrenoleukodystrophy patients: identification of a novel mutation.

Authors:  Asude Durmaz; Tahir Atik; Hüseyin Onay; Ebru Erbaş Canda; Sema Kalkan Uçar; Fikret Bademkıran; Mahmut Coker; Özgür Coğulu; Ferda Özkınay
Journal:  Metab Brain Dis       Date:  2014-05-01       Impact factor: 3.584

2.  The Roles of β-Oxidation and Cofactor Homeostasis in Peroxisome Distribution and Function in Arabidopsis thaliana.

Authors:  Mauro A Rinaldi; Ashish B Patel; Jaeseok Park; Koeun Lee; Lucia C Strader; Bonnie Bartel
Journal:  Genetics       Date:  2016-09-07       Impact factor: 4.562

3.  Eight novel mutations in the ABCD1 gene and clinical characteristics of 25 Chinese patients with X-linked adrenoleukodystrophy.

Authors:  Shan-Shan Chu; Jun Ye; Hui-Wen Zhang; Lian-Shu Han; Wen-Juan Qiu; Xiao-Lan Gao; Xue-Fan Gu
Journal:  World J Pediatr       Date:  2015-10-11       Impact factor: 2.764

4.  Genomic profiling identifies novel mutations and SNPs in ABCD1 gene: a molecular, biochemical and clinical analysis of X-ALD cases in India.

Authors:  Neeraj Kumar; Krishna Kant Taneja; Veena Kalra; Madhuri Behari; Satinder Aneja; Surendra Kumar Bansal
Journal:  PLoS One       Date:  2011-09-22       Impact factor: 3.240

5.  Identification of novel SNPs of ABCD1, ABCD2, ABCD3, and ABCD4 genes in patients with X-linked adrenoleukodystrophy (ALD) based on comprehensive resequencing and association studies with ALD phenotypes.

Authors:  Takashi Matsukawa; Muriel Asheuer; Yuji Takahashi; Jun Goto; Yasuyuki Suzuki; Nobuyuki Shimozawa; Hiroki Takano; Osamu Onodera; Masatoyo Nishizawa; Patrick Aubourg; Shoji Tsuji
Journal:  Neurogenetics       Date:  2010-07-27       Impact factor: 2.660

6.  Identification of Two Novel Mutations of ABCD1 Gene in Pedigrees with X-Linked Adrenoleukodystrophy and Review of the Literature.

Authors:  Bingzi Dong; Wenshan Lv; Lili Xu; Yuhang Zhao; Xiaofang Sun; Zhongchao Wang; Bingfei Cheng; Zhengju Fu; Yangang Wang
Journal:  Int J Endocrinol       Date:  2022-02-07       Impact factor: 2.803

7.  A Large Family with p.Arg554His Mutation in ABCD1: Clinical Features and Genotype/Phenotype Correlation in Female Carriers.

Authors:  Rosa Campopiano; Cinzia Femiano; Maria Antonietta Chiaravalloti; Rosangela Ferese; Diego Centonze; Fabio Buttari; Stefania Zampatti; Mirco Fanelli; Stefano Amatori; Carmelo D'Alessio; Emiliano Giardina; Francesco Fornai; Francesca Biagioni; Marianna Storto; Stefano Gambardella
Journal:  Genes (Basel)       Date:  2021-05-19       Impact factor: 4.096

  7 in total

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