Literature DB >> 25550961

Characterization of phenylalanine hydroxylase gene mutations in phenylketonuria in Xinjiang of China.

Wuzhong Yu1, Jiang He1, Xi Yang1, Hongyun Zou1, Junhao Gui1, Rui Wang1, Liu Yang1, Zheng Wang1, Quan Lei1.   

Abstract

To investigate the spectrum and frequency of phenylalanine hydroxylase (PAH) gene mutations in phenylketonuria (PKU) patients in Xinjiang, China. Polymerase chain reaction (PCR), in combination with single-strand conformation polymorphism (SSCP) and DNA sequencing analyses were performed, to screen potential mutations in the PAH gene in 46 individual PKU patients. Direct DNA sequencing was used to analyze the all of the exons in the PAH gene, including the promoter and flanking intron regions, in another 15 PKU patients. Our results indicated that, 30 different mutation types were identified in all 122 PAH alleles, with the mutation detection rate of 78.7% (96/122). Four novel mutations, i.e., 5'-Flanking -626G>A, 5'-Flanking -480DelACT, S196fsX4, and IVS8+1G>C, were identified for the first time. Similar to other regions in North China, R243Q, EX6-96A>G, IVS4-1A>G, R111X, and Y356X were the most prevalent PAH mutations in PKU patients from Xinjiang. Additionally, common mutations showed different frequencies in Xinjiang, when compared to other areas. Furthermore, sixteen different PAH gene mutation types were identified for the first time in the minorities in Xinjiang. Distinctive mutation spectrum of PAH gene in PKU patients from Xinjiang were characterized, which may promote the construction of PAH gene mutation database and serve as valuable tools for genetic diagnosis and counseling, and prognostic evaluation for PKU cases in the local area.

Entities:  

Keywords:  Phenylketonuria; gene mutation; phenylalanine hydroxylase; sequence analysis

Year:  2014        PMID: 25550961      PMCID: PMC4276219     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  15 in total

Review 1.  Executive functioning in context: Relevance for treatment and monitoring of phenylketonuria.

Authors:  Stephan C J Huijbregts; Rosa Gassió; Jaume Campistol
Journal:  Mol Genet Metab       Date:  2013-10-10       Impact factor: 4.797

2.  [Mutations in exon 7 of the phenylalanine hydroxylase (PAH) gene in chinese patients with phenylketonuria].

Authors:  Fang Song; Yu-Wei Jin; Hong Wang; Yu-Min Zhang; Yan-Ling Yang; Ting Zhang
Journal:  Yi Chuan       Date:  2005-01

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Authors:  Y Yang; M Drummond-Borg; J Garcia-Heras
Journal:  Hum Mutat       Date:  2001-06       Impact factor: 4.878

Review 5.  Beyond executive function: non-executive cognitive abilities in individuals with PKU.

Authors:  Darren Janzen; Mina Nguyen
Journal:  Mol Genet Metab       Date:  2010       Impact factor: 4.797

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Journal:  IUBMB Life       Date:  2013-03-04       Impact factor: 3.885

8.  Biochemical characterization of mutant phenylalanine hydroxylase enzymes and correlation with clinical presentation in hyperphenylalaninaemic patients.

Authors:  S F Dobrowolski; A L Pey; R Koch; H Levy; C C Ellingson; E W Naylor; A Martinez
Journal:  J Inherit Metab Dis       Date:  2008-10-21       Impact factor: 4.982

9.  Mutational spectrum of phenylalanine hydroxylase deficiency in Sicily: implications for diagnosis of hyperphenylalaninemia in southern Europe.

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Journal:  Hum Mutat       Date:  2003-04       Impact factor: 4.878

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  2 in total

1.  Molecular characterisation of phenylketonuria in a Chinese mainland population using next-generation sequencing.

Authors:  Nana Li; Haitao Jia; Zhen Liu; Jing Tao; Song Chen; Xiaohong Li; Ying Deng; Xi Jin; Jiaping Song; Liangtao Zhang; Yu Liang; Wei Wang; Jun Zhu
Journal:  Sci Rep       Date:  2015-10-27       Impact factor: 4.379

2.  Mutation analysis of the PAH gene in phenylketonuria patients from Rio de Janeiro, Southeast Brazil.

Authors:  Eduardo Vieira Neto; Francisco Laranjeira; Dulce Quelhas; Isaura Ribeiro; Alexandre Seabra; Nicole Mineiro; Lilian D M Carvalho; Lúcia Lacerda; Márcia G Ribeiro
Journal:  Mol Genet Genomic Med       Date:  2018-05-10       Impact factor: 2.183

  2 in total

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