Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/49348
Title: Molecular epidemiology, genotype-phenotype correlation and BH 4 responsiveness in Spanish patients with phenylketonuria
Authors: Aldámiz-Echevarría, Luis
Llarena, Marta
Bueno, María A.
Dalmau, Jaime
Vitoria, Isidro
Fernández-Marmiesse, Ana
Andrade, Fernando
Blasco, Javier
Alcalde, Carlos
Gil, David
García, María C.
González-Lamuño, Domingo
Ruiz, Mónica
Ruiz, María A.
Peña-Quintana, Luis 
González, David
Sánchez-Valverde, Felix
Desviat, Lourdes R.
Pérez, Belen
Couce, María L.
UNESCO Clasification: 32 Ciencias médicas
320102 Genética clínica
Keywords: Diagnosis
Genotype
Metabolic disorders
Issue Date: 2016
Journal: Journal of Human Genetics 
Abstract: Phenylketonuria (PKU), the most common inborn error of amino acid metabolism, is caused by mutations in the phenylalanine-4-hydroxylase (PAH) gene. This study aimed to assess the genotype–phenotype correlation in the PKU Spanish population and the usefulness in establishing genotype-based predictions of BH4 responsiveness in our population. It involved the molecular characterization of 411 Spanish PKU patients: mild hyperphenylalaninemia non-treated (mild HPA-NT) (34%), mild HPA (8.8%), mild-moderate (20.7%) and classic (36.5%) PKU. BH4 responsiveness was evaluated using a 6R-BH4 loading test. We assessed genotype–phenotype associations and genotype–BH4 responsiveness in our population according to literature and classification of the mutations. The mutational spectrum analysis showed 116 distinct mutations, most missense (70.7%) and located in the catalytic domain (62.9%). The most prevalent mutations were c.1066-11G>A (9.7%), p.Val388Met (6.6%) and p.Arg261Gln (6.3%). Three novel mutations (c.61-13del9, p.Ile283Val and p.Gly148Val) were reported. Although good genotype–phenotype correlation was observed, there was no exact correlation for some genotypes. Among the patients monitored for the 6R-BH4 loading test: 102 were responders (87, carried either one or two BH4-responsive alleles) and 194 non-responders (50, had two non-responsive mutations). More discrepancies were observed in non-responders. Our data reveal a great genetic heterogeneity in our population. Genotype is quite a good predictor of phenotype and BH4 responsiveness, which is relevant for patient management, treatment and follow-up.
URI: http://hdl.handle.net/10553/49348
ISSN: 1434-5161
DOI: 10.1038/jhg.2016.38
Source: Journal of Human Genetics[ISSN 1434-5161],v. 61(8), p. 731-744 (Abril 2016)
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