Evidence map›Paper›PMID 29997390›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Allelic phenotype values: a model for genotype-based phenotype prediction in phenylketonuria.

Sven F Garbade, Nan Shen, Nastassja Himmelreich, Dorothea Haas, Friedrich K Trefz, Georg F Hoffmann, Peter Burgard, Nenad Blau

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Analysis ofInternational journal of molecular sciences · 2026
    Article
  5. Genetic landscape of phenylketonuria in Brazil.Orphanet journal of rare diseases · 2026
    Article
  6. Mapping the Severity of Phenylalanine Hydroxylase Deficiency.Journal of inherited metabolic disease · 2026
    Review
  7. Observational
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  11. Review
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  18. Observational
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  20. [Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 3 countries.

Sven F Garbade *Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Nan Shen *Dietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Nastassja HimmelreichDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Dorothea HaasDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Friedrich K TrefzDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Georg F HoffmannDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Peter BurgardDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany. Peter.Burgard@med.uni-heidelberg.de.
Nenad BlauDietmar-Hopp Metabolic Center and Centre for Pediatrics and Adolescent Medicine, University Hospital Heidelberg, Heidelberg, Germany. nenad.blau@med.uni-heidelberg.de.
Heidelberg University · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 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.

methodsA total of 9336 PKU patients with 2589 different genotypes, carrying 588 variants, were investigated using an allelic phenotype value (APV) algorithm.

resultsWe 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).

conclusionsAPV and GPV are powerful tools to investigate genotype-phenotype associations, and can be used for genetic counselling of PKU families.

Indexed as

AllelesFemaleGene FrequencyGenetic Association StudiesGenotypeHumansMaleMutationPhenotypePhenylalanine HydroxylasePhenylketonuriasPhenylalanine HydroxylaseGenotype–phenotype predictionLocus-specific databasePKUTetrahydrobiopterin

Identifiers

PMID29997390
OpenAlexW2879234130

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.