| Online-Ressource |
Verfasst von: | Garbade, Sven [VerfasserIn]  |
| Himmelreich, Nastassja [VerfasserIn]  |
| Haas, Dorothea [VerfasserIn]  |
| Trefz, Friedrich K. [VerfasserIn]  |
| Hoffmann, Georg F. [VerfasserIn]  |
| Burgard, Peter [VerfasserIn]  |
| Blau, Nenad [VerfasserIn]  |
Titel: | Allelic phenotype values |
Titelzusatz: | a model for genotype-based phenotype prediction in phenylketonuria |
Verf.angabe: | Sven F. Garbade, Nan Shen, Nastassja Himmelreich, Dorothea Haas, Friedrich K. Trefz, Georg F. Hoffmann, Peter Burgard, Nenad Blau |
Jahr: | 2019 |
Jahr des Originals: | 2018 |
Umfang: | 11 S. |
Fussnoten: | Published: 12 July 2018 ; Gesehen am 05.07.2019 |
Titel Quelle: | Enthalten in: Genetics in medicine |
Ort Quelle: | Amsterdam : Elsevier, 1998 |
Jahr Quelle: | 2019 |
Band/Heft Quelle: | 21(2019), 3, Seite 580-590 |
ISSN Quelle: | 1530-0366 |
Abstract: | The nature of phenylalanine hydroxylase (PAH) variants determines residual enzyme activity, which modifies the clinical phenotype in phenylketonuria (PKU). We exploited the statistical power of a large genotype database to determine the relationship between genotype and phenotype in PKU. A total of 9336 PKU patients with 2589 different genotypes, carrying 588 variants, were investigated using an allelic phenotype value (APV) algorithm. We identified 251 0-variants encoding inactive PAH, and assigned APVs (0 = classic PKU; 5 = mild PKU; 10 = mild hyperphenylalaninaemia) to 88 variants in PAH-functional hemizygous patients. The genotypic phenotype values (GPVs) were set equal to the higher-APV allele, which was assumed to be dominant over the lower-APV allele and to determine the metabolic phenotype. GPVs for 8872 patients resulted in cut-off ranges of 0.0-2.7 for classic PKU, 2.8-6.6 for mild PKU and 6.7-10.0 for mild hyperphenylalaninaemia. Genotype-based phenotype prediction was 99.2% for classic PKU, 46.2% for mild PKU and 89.5% for mild hyperphenylalaninaemia. The relationships between known pretreatment blood phenylalanine levels and GPVs (n = 4217), as well as tetrahydrobiopterin responsiveness and GPVs (n = 3488), were significant (both P < 0.001). APV and GPV are powerful tools to investigate genotype-phenotype associations, and can be used for genetic counselling of PKU families. |
DOI: | doi:10.1038/s41436-018-0081-x |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1038/s41436-018-0081-x |
| Volltext: https://www.nature.com/articles/s41436-018-0081-x |
| DOI: https://doi.org/10.1038/s41436-018-0081-x |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 1668689456 |
Verknüpfungen: | → Zeitschrift |