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Published in: Journal of Inherited Metabolic Disease 3/2018

01-05-2018 | Phenomics

Recognizable phenotypes in CDG

Authors: Carlos R. Ferreira, Ruqaia Altassan, Dorinda Marques-Da-Silva, Rita Francisco, Jaak Jaeken, Eva Morava

Published in: Journal of Inherited Metabolic Disease | Issue 3/2018

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Abstract

Pattern recognition, using a group of characteristic, or discriminating features, is a powerful tool in metabolic diagnostic. A classic example of this approach is used in biochemical analysis of urine organic acid analysis, where the reporting depends more on the correlation of pertinent positive and negative findings, rather than on the absolute values of specific markers. Similar uses of pattern recognition in the field of biochemical genetics include the interpretation of data obtained by metabolomics, like glycomics, where a recognizable pattern or the presence of a specific glycan sub-fraction can lead to the direct diagnosis of certain types of congenital disorders of glycosylation. Another indispensable tool is the use of clinical pattern recognition–or syndromology–relying on careful phenotyping. While genomics might uncover variants not essential in the final clinical expression of disease, and metabolomics could point to a mixture of primary but also secondary changes in biochemical pathways, phenomics describes the clinically relevant manifestations and the full expression of the disease. In the current review we apply phenomics to the field of congenital disorders of glycosylation, focusing on recognizable differentiating findings in glycosylation disorders, characteristic dysmorphic features and malformations in PMM2-CDG, and overlapping patterns among the currently known glycosylation disorders based on their pathophysiological basis.
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Metadata
Title
Recognizable phenotypes in CDG
Authors
Carlos R. Ferreira
Ruqaia Altassan
Dorinda Marques-Da-Silva
Rita Francisco
Jaak Jaeken
Eva Morava
Publication date
01-05-2018
Publisher
Springer Netherlands
Published in
Journal of Inherited Metabolic Disease / Issue 3/2018
Print ISSN: 0141-8955
Electronic ISSN: 1573-2665
DOI
https://doi.org/10.1007/s10545-018-0156-5

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