Literature DB >> 11043162

Mutation analysis anticipates dietary requirements in phenylketonuria.

F Güttler1, P Guldberg.   

Abstract

UNLABELLED: Phenylalanine hydroxylase (PAH) deficiency is inherited as an autosomal recessive trait and the associated hyperphenylalaninaemia phenotype is highly variable, primarily due to a great allelic heterogeneity at the PAH locus (approximately 400 disease-associated mutations are known). The arbitrary classification of PAH deficiency on the basis of clinical parameters has been complicated by the lack of international guidelines, leading to a wide confusion in both methodology and terminology. Recently, significant improvements in methods for detection of mutations have paved the way for an alternative system for classification of PAH deficiency, which is based solely on PAH genotypes. This paper gives a summary of the recent progress made in establishing a direct correlation between individual PAH mutations and biochemical and metabolic phenotypes, including the use of "functionally hemizygous" patients to classify both common and rare mutant alleles, and a simple and general model to predict the combined phenotypic effect of two mutant PAH alleles.
CONCLUSION: Genotype-based prediction of the biochemical phenotype is now feasible in the majority of newborns with hyperphenylalaninemia, which may be useful for refining diagnosis and anticipating dietary requirements. A recent observation suggests that the genotype also determines cognitive development if dietary therapy is discontinued at 6 years of age.

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Year:  2000        PMID: 11043162     DOI: 10.1007/pl00014381

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


  8 in total

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Authors:  Maja Djordjevic; Kristel Klaassen; Adrijan Sarajlija; Natasa Tosic; Branka Zukic; Bozica Kecman; Milena Ugrin; Vesna Spasovski; Sonja Pavlovic; Maja Stojiljkovic
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2.  What Genomic Sequencing Can Offer Universal Newborn Screening Programs.

Authors:  Cynthia M Powell
Journal:  Hastings Cent Rep       Date:  2018-07       Impact factor: 2.683

3.  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

4.  Effects and clinical significance of tetrahydrobiopterin supplementation in phenylalanine hydroxylase-deficient hyperphenylalaninaemia.

Authors:  G Gramer; P Burgard; S F Garbade; M Lindner
Journal:  J Inherit Metab Dis       Date:  2007-08-06       Impact factor: 4.982

5.  Phenylketonuria in Portugal: Genotype-phenotype correlations using molecular, biochemical, and haplotypic analyses.

Authors:  Filipa Ferreira; Luísa Azevedo; Raquel Neiva; Carmen Sousa; Helena Fonseca; Ana Marcão; Hugo Rocha; Célia Carmona; Sónia Ramos; Anabela Bandeira; Esmeralda Martins; Teresa Campos; Esmeralda Rodrigues; Paula Garcia; Luísa Diogo; Ana Cristina Ferreira; Silvia Sequeira; Francisco Silva; Luísa Rodrigues; Ana Gaspar; Patrícia Janeiro; António Amorim; Laura Vilarinho
Journal:  Mol Genet Genomic Med       Date:  2021-01-19       Impact factor: 2.183

6.  Analysis of the genotype-phenotype correlation in patients with phenylketonuria in mainland China.

Authors:  Nana Li; Chunhua He; Jing Li; Jing Tao; Zhen Liu; Chunyan Zhang; Yuan Yuan; Hui Jiang; Jun Zhu; Ying Deng; Yixiong Guo; Qintong Li; Ping Yu; Yanping Wang
Journal:  Sci Rep       Date:  2018-07-26       Impact factor: 4.379

7.  Complex patterns of inheritance, including synergistic heterozygosity, in inborn errors of metabolism: Implications for precision medicine driven diagnosis and treatment.

Authors:  Jerry Vockley; Steven F Dobrowolski; Georgianne L Arnold; Ruben Bonilla Guerrero; Terry G J Derks; David A Weinstein
Journal:  Mol Genet Metab       Date:  2019-07-19       Impact factor: 4.797

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

  8 in total

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