Complex patterns of inheritance, including synergistic heterozygosity, in inborn errors of metabolism: Implications for precision medicine driven diagnosis and treatment.
Journal
Molecular genetics and metabolism
ISSN: 1096-7206
Titre abrégé: Mol Genet Metab
Pays: United States
ID NLM: 9805456
Informations de publication
Date de publication:
Historique:
received:
04
06
2019
revised:
18
07
2019
accepted:
18
07
2019
pubmed:
31
7
2019
medline:
1
5
2020
entrez:
31
7
2019
Statut:
ppublish
Résumé
Inborn errors of metabolism have traditionally been viewed as the quintessential single gene disorders; defects in one gene leads to loss of activity of one enzyme causing a metabolic imbalance and clinical disease. However, reality has never been quite that simple, and the classic "one gene-one enzyme" paradigm has been upended in many ways. Multiple gene defects can lead to the same biochemical phenotype, often with different clinical symptoms. Additionally, different mutations in the same gene can cause variable phenotypes, often most dramatic when a disease can be identified by pre-symptomatic screening. Moreover, response to therapy is not homogeneous across diseases and specific mutations. Perhaps the biggest deviation from traditional monogenic inheritance is in the setting of synergistic heterozygosity, a multigenic inheritance pattern in which mutations in multiple genes in a metabolic pathway lead to sufficient disruption of flux through the pathway, mimicking a monogenic disorder caused by homozygous defects in one gene in that pathway. In addition, widespread adoption of whole exome and whole genome sequencing in medical genetics has led to the realization that individual patients with apparently hybrid phenotypes can have mutations in more than one gene, leading to a mixed genetic disorder. Each of these situations point to a need for as much precision as possible in diagnosing metabolic disease, and it is likely to become increasingly critical to drive therapy. This article examines examples in traditional monogenic disorders that illustrates these points and define inborn errors of metabolism as complex genetic traits on the leading edge of precision medicine.
Identifiants
pubmed: 31358473
pii: S1096-7192(19)30408-1
doi: 10.1016/j.ymgme.2019.07.011
pmc: PMC8931500
mid: NIHMS1784721
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-9Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK078775
Pays : United States
Informations de copyright
Copyright © 2019. Published by Elsevier Inc.
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