Literature DB >> 18932014

Dominant versus recessive: molecular mechanisms in metabolic disease.

Johannes Zschocke1.   

Abstract

Inborn errors of metabolism used to be regarded as simple monogenic traits, but a closer look at how different alleles of a gene determine different phenotypes shows that the molecular mechanisms in the individual case are often complicated. Most metabolic disorders represent a spectrum of phenotypes from normal via attenuated to severe (and sometimes prenatally fatal), and disease manifestation is often influenced by other specific genetic or exogenous factors. The terms 'dominant' or 'recessive' relate to the functional consequences of differing alleles in the (compound) heterozygous individual; the terms are irrelevant for homozygous individuals and inappropriate for X-linked disorders. Mutations affecting the same amino acid residue may be associated with different inheritance patterns. True dominant inheritance in metabolism is rare; it may be found e.g. in tightly regulated biosynthetic pathways or when minor changes in metabolite concentrations have a functional effect. Some disorders such as erythropoietic protoporphyria show pseudodominant inheritance due to prevalent loss-of-function polymorphisms in the general population and are better acknowledged as recessive traits. The term 'variable expressivity' is not helpful with regard to autosomal recessive disorders when variable phenotypes are explained by different mutations in the respective gene. Clonal unmasking of a heterozygous mutation through somatic loss of the second allele, the main pathomechanism in inherited tumour predisposition syndromes, is rare in metabolic disorders, but focal congenital hyperinsulinism is a notable exception. Somatic mosaicism for an OTC gene mutation is given as an example of an apparently heterozygous mutation pattern in a boy with an X-linked disease.

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Year:  2008        PMID: 18932014     DOI: 10.1007/s10545-008-1016-5

Source DB:  PubMed          Journal:  J Inherit Metab Dis        ISSN: 0141-8955            Impact factor:   4.982


  109 in total

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4.  5-Aminolevulinic acid dehydratase deficiency porphyria: a twenty-year clinical and biochemical follow-up.

Authors:  U Gross; S Sassa; K Jacob; J C Deybach; Y Nordmann; M Frank; M O Doss
Journal:  Clin Chem       Date:  1998-09       Impact factor: 8.327

5.  Clinical expression of familial hypercholesterolemia in clusters of mutations of the LDL receptor gene that cause a receptor-defective or receptor-negative phenotype.

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7.  Activating mutations in the gene encoding the ATP-sensitive potassium-channel subunit Kir6.2 and permanent neonatal diabetes.

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Journal:  N Engl J Med       Date:  2004-04-29       Impact factor: 91.245

8.  Mutation and cancer: statistical study of retinoblastoma.

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Journal:  Proc Natl Acad Sci U S A       Date:  1971-04       Impact factor: 11.205

9.  Non-phenylketonuria hyperphenylalaninaemia in Northern Ireland: frequent mutation allows screening and early diagnosis.

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Review 10.  A role for overdominant selection in phenylketonuria? Evidence from molecular data.

Authors:  Michael Krawczak; Johannes Zschocke
Journal:  Hum Mutat       Date:  2003-04       Impact factor: 4.878

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  11 in total

1.  The Genetic Landscape and Epidemiology of Phenylketonuria.

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2.  Characterization of Phenyalanine Hydroxylase Gene Mutations in Chilean PKU Patients.

Authors:  V Hamilton; L Santa María; K Fuenzalida; P Morales; L R Desviat; M Ugarte; B Pérez; J F Cabello; V Cornejo
Journal:  JIMD Rep       Date:  2017-12-30

Review 3.  Porphyria Diagnostics-Part 1: A Brief Overview of the Porphyrias.

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4.  Heterozygosity for an in-frame deletion causes glutaryl-CoA dehydrogenase deficiency in a patient detected by newborn screening: investigation of the effect of the mutant allele.

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Review 5.  The importance of phase information for human genomics.

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Review 6.  Statistical analysis strategies for association studies involving rare variants.

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7.  Whole-genome haplotype reconstruction using proximity-ligation and shotgun sequencing.

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8.  Autozygosity reveals recessive mutations and novel mechanisms in dominant genes: implications in variant interpretation.

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Journal:  Genet Med       Date:  2017-04-06       Impact factor: 8.822

9.  Phasing for medical sequencing using rare variants and large haplotype reference panels.

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Review 10.  One drug to treat many diseases: unlocking the economic trap of rare diseases.

Authors:  Karolina Pierzynowska; Teresa Kamińska; Grzegorz Węgrzyn
Journal:  Metab Brain Dis       Date:  2020-09-14       Impact factor: 3.584

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