Growth Restriction and Genomic Imprinting-Overlapping Phenotypes Support the Concept of an Imprinting Network.
Eggermann ThomasJustin H DaviesMaithé TauberErica van den AkkerAnita Hokken-KoelegaGudmundur JohanssonIrène NetchinePublished in: Genes (2021)
Intrauterine and postnatal growth disturbances are major clinical features of imprinting disorders, a molecularly defined group of congenital syndromes caused by molecular alterations affecting parentally imprinted genes. These genes are expressed monoallelically and in a parent-of-origin manner, and they have an impact on human growth and development. In fact, several genes with an exclusive expression from the paternal allele have been shown to promote foetal growth, whereas maternally expressed genes suppress it. The evolution of this correlation might be explained by the different interests of the maternal and paternal genomes, aiming for the conservation of maternal resources for multiple offspring versus extracting maximal maternal resources. Since not all imprinted genes in higher mammals show the same imprinting pattern in different species, the findings from animal models are not always transferable to human. Therefore, human imprinting disorders might serve as models to understand the complex regulation and interaction of imprinted loci. This knowledge is a prerequisite for the development of precise diagnostic tools and therapeutic strategies for patients affected by imprinting disorders. In this review we will specifically overview the current knowledge on imprinting disorders associated with growth retardation, and its increasing relevance in a personalised medicine direction and the need for a multidisciplinary therapeutic approach.
Keyphrases
- genome wide
- endothelial cells
- bioinformatics analysis
- genome wide identification
- healthcare
- induced pluripotent stem cells
- birth weight
- poor prognosis
- end stage renal disease
- pluripotent stem cells
- high resolution
- physical activity
- newly diagnosed
- high fat diet
- chronic kidney disease
- prognostic factors
- blood pressure
- preterm infants
- body composition
- long non coding rna
- patient reported outcomes
- gestational age
- transcription factor
- gene expression
- pregnancy outcomes
- weight loss
- skeletal muscle