Evidence map›Paper›PMID 18299955›Full record

ArticleJournal of human genetics2008

Genotype-phenotype correlations analysis of mutations in the phenylalanine hydroxylase (PAH) gene.

Dani Bercovich, Arava Elimelech, Joel Zlotogora, Sigal Korem, Tal Yardeni, Nurit Gal, Nurit Goldstein, Bela Vilensky, Roni Segev, Smadar Avraham and 3 more

Abstract read
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In one paragraph

Article in Journal of human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Mapping the Severity of Phenylalanine Hydroxylase Deficiency.Journal of inherited metabolic disease · 2026
    Review
  5. Article
  6. [Genetic profiling and intervention strategies for phenylketonuria in Gansu, China: an analysis of 1 159 cases].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025
    Article
  7. Article
  8. Article
  9. Follow-up of two newborns with c.158G>A (p.Arg53His) mutation in gene and assessment of the site function.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Allelic phenotype values: a model for genotype-based phenotype prediction in phenylketonuria.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  14. Article
  15. Article
  16. Genetics and genomic medicine in Tunisia.Molecular genetics & genomic medicine · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

13 authors.

Dani BercovichMIGAL, Galilee Technology Center, Human Molecular Genetics and Pharmacogenetics Laboratory, Kiryat Shmona, Israel. danib@migal.org.il.
Arava ElimelechMIGAL, Galilee Technology Center, Human Molecular Genetics and Pharmacogenetics Laboratory, Kiryat Shmona, Israel.
Joel ZlotogoraDepartment of Genetic Community, Public Health Services, Health Ministry and Hebrew University, Jerusalem, Israel.
Sigal KoremMIGAL, Galilee Technology Center, Human Molecular Genetics and Pharmacogenetics Laboratory, Kiryat Shmona, Israel.
Tal YardeniMIGAL, Galilee Technology Center, Human Molecular Genetics and Pharmacogenetics Laboratory, Kiryat Shmona, Israel.
Nurit GalMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Nurit GoldsteinMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Bela VilenskyMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Roni SegevMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Smadar AvrahamMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Ron LoewenthalTissue Typing Unit and Safra Children Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Gerard SchwartzMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.
Yair AniksterMetabolic Disease Unit, Safra Children's Hospital, Sheba Medical Center, Tel-Hashomer, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of our research were to define the genotype-phenotype correlations of mutations in the phenylalanine hydroxylase (PAH) gene that cause phenylketonuria (PKU) among the Israeli population. The mutation spectrum of the PAH gene in PKU patients in Israel is described, along with a discussion on genotype-phenotype correlations. By using polymerase chain reaction/denaturing high-performance liquid chromatography (PCR/dHPLC) and DNA sequencing, we screened all exons of the PAH gene in 180 unrelated patients with four different PKU phenotypes [classic PKU, moderate PKU, mild PKU, and mild hyperphenylalaninemia (MHP)]. In 63.2% of patient genotypes, the metabolic phenotype could be predicted, though evidence is also found for both phenotypic inconsistencies among subjects with more than one type of mutation in the PAH gene. Data analysis revealed that about 25% of patients could participate in the future in (6R)-L: -erythro-5, 6, 7, 8-tetrahydrobiopterin (BH4) treatment trials according to their mutation genotypes. This study enables us to construct a national database in Israel that will serve as a valuable tool for genetic counseling and a prognostic evaluation of future cases of PKU.

Indexed as

MutationPhenotypeAmino Acid SequenceAmino Acid SubstitutionBase SequenceGenotypeHumansPhenylalaninePhenylalanine HydroxylasePhenylketonuriasSequence DeletionPhenylalaninePhenylalanine Hydroxylase

Identifiers

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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.