Literature DB >> 23764561

Phenylalanine hydroxylase deficiency in the Slovak population: genotype-phenotype correlations and genotype-based predictions of BH4-responsiveness.

Emil Polak1, Andrej Ficek, Jan Radvanszky, Andrea Soltysova, Otto Urge, Eleonora Cmelova, Dana Kantarska, Ludevit Kadasi.   

Abstract

We investigated the mutation spectrum of the phenylalanine hydroxylase gene (PAH) in a cohort of patients from 135 Slovak PKU families. Mutational screening of the known coding region, including conventional intron splice sites, was performed using high-resolution melting analysis, with subsequent sequencing analysis of the samples showing deviated melting profiles compared to control samples. The PAH gene was also screened for deletions and duplications using MLPA analysis. Forty-eight different disease causing mutations were identified in our patient group, including 30 missense, 8 splicing, 7 nonsense, 2 large deletions and 1 small deletion with frameshift; giving a detection rate of 97.6%. The most prevalent mutation was the p.R408W, occurring in 47% of all alleles, which concurs with results from neighboring and other Slavic countries. Other frequent mutations were: p.R158Q (5.3%), IVS12+1G>A (5.3%), p.R252W (5.1%), p.R261Q (3.9%) and p.A403V (3.6%). We also identified three novel missense mutations: p.F233I, p.R270I, p.F331S and one novel variant: c.-30A>T in the proximal part of the PAH gene promoter. A spectrum of 84 different genotypes was observed and a genotype based predictions of BH4-responsiveness were assessed. Among all genotypes, 36 were predicted to be BH4-responsive represented by 51 PKU families. In addition, genotype-phenotype correlations were performed.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BH4; BH4-responsiveness; BIOPKUdb; Bp; Conc.; EDTA; HPA; HRM; High Resolution Melting; HumVar; International Database of Patients and Genotypes Causing HPA/PKU including BH4-responsive Phenotype; International database of variations in Phenylalanine Hydroxylase gene; Kb; MC; MHP; MLPA; Multiplex Ligation-dependent Probe Amplification; Mutation analysis; PAH; PAH Locus Knowledgebase; PAHdb; PAHvdb; PCR; PKU; PRA; Phe; Phenylketonuria; RFLP; Ta; Taq; Thermus aquaticus; Tyr; U; annealing temperature; base pairs; cPKU; classic phenylketonuria; concentration; dNTP; deoxyribonucleoside triphosphate; ethylenediaminetetraacetic acid; gene encoding phenylalanine hydroxylase; human variation; hyperphenylalaninemia; kilobases; mPKU; mRNA; melting curve; messenger RNA; mild hyperphenylalaninemia; mild phenylketonuria; phenylalanine; phenylalanine hydroxylase; phenylketonuria; polymerase chain reaction; predicted residual activity; restriction-fragment length polymorphism; tetrahydrobiopterin (6RL-erythro-5,6,7,8-tetrahydrobiopterin); tyrosine; unit

Mesh:

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Year:  2013        PMID: 23764561     DOI: 10.1016/j.gene.2013.05.057

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  14 in total

1.  Mutation spectrum of PAH gene in phenylketonuria patients in Northwest China: identification of twenty novel variants.

Authors:  Yousheng Yan; Chuan Zhang; Xiaohua Jin; Qinhua Zhang; Lei Zheng; Xuan Feng; Shengju Hao; Huafang Gao; Xu Ma
Journal:  Metab Brain Dis       Date:  2019-02-12       Impact factor: 3.584

2.  Mutational spectrum of phenylketonuria in Jiangsu province.

Authors:  Ya-fen Chen; Hai-tao Jia; Zhong-hai Chen; Jia-ping Song; Yu Liang; Jing-jing Pei; Zhi-jun Wu; Jing Wang; Ya-li Qiu; Gang Liu; Dong-mei Sun; Xin-ye Jiang
Journal:  Eur J Pediatr       Date:  2015-04-19       Impact factor: 3.183

3.  Follow-up of two newborns with c.158G>A (p.Arg53His) mutation in gene and assessment of the site function.

Authors:  Jie Wang; Bo Zhu; Lichun Zhang; Yitong Zhao; Xiaohua Wang; Yueqi Jia
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2021-08-25

4.  New PAH gene promoter KLF1 and 3'-region C/EBPalpha motifs influence transcription in vitro.

Authors:  Kristel Klaassen; Biljana Stankovic; Nikola Kotur; Maja Djordjevic; Branka Zukic; Gordana Nikcevic; Milena Ugrin; Vesna Spasovski; Sanja Srzentic; Sonja Pavlovic; Maja Stojiljkovic
Journal:  J Appl Genet       Date:  2016-07-22       Impact factor: 3.240

5.  Influence of PAH Genotype on Sapropterin Response in PKU: Results of a Single-Center Cohort Study.

Authors:  Sarah Leuders; Eva Wolfgart; Torsten Ott; Marcel du Moulin; Agnes van Teeffelen-Heithoff; Lydia Vogelpohl; Ulrike Och; Thorsten Marquardt; Josef Weglage; Reinhold Feldmann; Frank Rutsch
Journal:  JIMD Rep       Date:  2013-11-05

6.  Molecular epidemiology, genotype-phenotype correlation and BH4 responsiveness in Spanish patients with phenylketonuria.

Authors:  Luis Aldámiz-Echevarría; Marta Llarena; María A Bueno; Jaime Dalmau; Isidro Vitoria; Ana Fernández-Marmiesse; Fernando Andrade; Javier Blasco; Carlos Alcalde; David Gil; María C García; Domingo González-Lamuño; Mónica Ruiz; María A Ruiz; Luis Peña-Quintana; David González; Felix Sánchez-Valverde; Lourdes R Desviat; Belen Pérez; María L Couce
Journal:  J Hum Genet       Date:  2016-04-28       Impact factor: 3.172

7.  The Predictive Value of Genetic Analyses in the Diagnosis of Tetrahydrobiopterin (BH4)-Responsiveness in Chinese Phenylalanine Hydroxylase Deficiency Patients.

Authors:  Tianwen Zhu; Jun Ye; Lianshu Han; Wenjuan Qiu; Huiwen Zhang; Lili Liang; Xuefan Gu
Journal:  Sci Rep       Date:  2017-07-28       Impact factor: 4.379

8.  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

9.  Analysis of EX5del4232ins268 and EX5del955 PAH gene mutations in Ukrainian patients with phenylketonuria.

Authors:  Volodymyr Pampukha; Maryna Nechyporenko; Ludmila Livshyts
Journal:  Genes Dis       Date:  2016-12-14

10.  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

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