Literature DB >> 25267602

A glycogene mutation map for discovery of diseases of glycosylation.

Lars Hansen1, Allan Lind-Thomsen2, Hiren J Joshi3, Nis Borbye Pedersen3, Christian Theil Have4, Yun Kong3, Shengjun Wang3, Thomas Sparso4, Niels Grarup4, Malene Bech Vester-Christensen3, Katrine Schjoldager3, Hudson H Freeze5, Torben Hansen4, Oluf Pedersen4, Bernard Henrissat6, Ulla Mandel3, Henrik Clausen3, Hans H Wandall3, Eric P Bennett1.   

Abstract

Glycosylation of proteins and lipids involves over 200 known glycosyltransferases (GTs), and deleterious defects in many of the genes encoding these enzymes cause disorders collectively classified as congenital disorders of glycosylation (CDGs). Most known CDGs are caused by defects in glycogenes that affect glycosylation globally. Many GTs are members of homologous isoenzyme families and deficiencies in individual isoenzymes may not affect glycosylation globally. In line with this, there appears to be an underrepresentation of disease-causing glycogenes among these larger isoenzyme homologous families. However, genome-wide association studies have identified such isoenzyme genes as candidates for different diseases, but validation is not straightforward without biomarkers. Large-scale whole-exome sequencing (WES) provides access to mutations in, for example, GT genes in populations, which can be used to predict and/or analyze functional deleterious mutations. Here, we constructed a draft of a functional mutational map of glycogenes, GlyMAP, from WES of a rather homogenous population of 2000 Danes. We cataloged all missense mutations and used prediction algorithms, manual inspection and in case of carbohydrate-active enzymes family GT27 experimental analysis of mutations to map deleterious mutations. GlyMAP (http://glymap.glycomics.ku.dk) provides a first global view of the genetic stability of the glycogenome and should serve as a tool for discovery of novel CDGs.
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  MAF; damaging mutations; glycogenes; nonsynonymous mutations; nsSNV

Mesh:

Substances:

Year:  2014        PMID: 25267602      PMCID: PMC4351397          DOI: 10.1093/glycob/cwu104

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


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