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Glycosyltransferase genes that cause monogenic congenital disorders of glycosylation are distinct from glycosyltransferase genes associated with complex diseases.

ABSTRACT: Glycosylation of proteins, lipids and proteoglycans in human cells involves at least 167 identified glycosyltransferases (GTfs), and these orchestrate the biosynthesis of diverse types of glycoconjugates and glycan structures. Mutations in this part of the genome-the GTf-genome-cause more than 58 rare, monogenic congenital disorders of glycosylation (CDGs). They are also statistically associated with a large number of complex phenotypes, diseases or predispositions to complex diseases based on Genome-Wide Association Studies (GWAS). CDGs are extremely rare and often with severe medical consequences. In contrast, GWAS are likely to identify more common genetic variations and generally involve less severe and distinct traits. We recently confirmed that structural defects in GTf genes are extremely rare, which seemed at odds with the large number of GWAS pointing to GTf-genes. To resolve this issue, we surveyed the GTf-genome for reported CDGs and GWAS candidates; we found little overlap between the two groups of genes. Moreover, GTf-genes implicated by CDG or GWAS appear to constitute different classes with respect to their: (i) predicted roles in glycosylation pathways; (ii) potential for partial redundancy by closely homologous genes; and (iii) transcriptional regulation as evaluated by RNAseq data. Our analysis suggest that more complex traits are caused by dysregulation rather than structural deficiency of GTfs, which suggests that some glycosylation reactions may be predicted to be under tight regulation for fine-tuning of important biological functions.

SUBMITTER: Joshi HJ

PROVIDER: S-EPMC6279177 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Glycosyltransferase genes that cause monogenic congenital disorders of glycosylation are distinct from glycosyltransferase genes associated with complex diseases.

Joshi Hiren J HJ Hansen Lars L Narimatsu Yoshiki Y Freeze Hudson H HH Henrissat Bernard B Bennett Eric E Wandall Hans H HH Clausen Henrik H Schjoldager Katrine T KT

Glycobiology 20180501 5

Glycosylation of proteins, lipids and proteoglycans in human cells involves at least 167 identified glycosyltransferases (GTfs), and these orchestrate the biosynthesis of diverse types of glycoconjugates and glycan structures. Mutations in this part of the genome-the GTf-genome-cause more than 58 rare, monogenic congenital disorders of glycosylation (CDGs). They are also statistically associated with a large number of complex phenotypes, diseases or predispositions to complex diseases based on G ...[more]

PMID: 29579191

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Project description:The application of genome sequencing in patients with intellectual disability and congenital anomalies (ID/CA) typically identifies causative mutations only in a minority of cases. We hypothesized that some cases of ID/CA are caused by epigenetic aberrations that dysregulate normal genome function, and that these would be missed by conventional sequencing approaches. We performed Illumina 450k DNA methylation profiling in ~500 individuals with ID/CA, who were negative for causative mutations by microarray, exome- and/or whole genome sequencing. We screened patient methylation profiles for epimutations absent in ~1,500 controls, and validated these by bisulfite sequencing, revealing that epimutations represent large methylation changes specifically on one allele. Parental studies show that approximately half represent de novo events, a rate significantly higher than that seen in controls. We identified seven recurrent events, two of which (FMR1, MEG3) have known disease associations, validating our method for detecting pathogenic epimutations. From large-scale sequencing, population and expression studies we conclude that epimutations are: (i) Frequently associated with extreme outlier and mono-allelic gene expression, with an impact comparable to loss-of-function mutations; (ii) Generally conserved across multiple tissues within an individual, validating the use of blood DNA to study ID/CA; (iii) Can occur secondary to cis-linked regulatory mutations, providing a rationale for interpreting non-coding genetic variants; (iv) Occur sporadically with a remarkably high de novo rate, and (v) Exhibit non-Mendelian inheritance, likely being reset between generations by epigenetic reprogramming during embryogenesis. We conclude that epimutations underlie 5-10% of patients with ID/CA who are refractory to conventional mutation screening, and propose that epigenome profiling represents a promising method for the study of human disease that complements sequence-based approaches.

Dataset Information

Glycosyltransferase genes that cause monogenic congenital disorders of glycosylation are distinct from glycosyltransferase genes associated with complex diseases.

Publications

Glycosyltransferase genes that cause monogenic congenital disorders of glycosylation are distinct from glycosyltransferase genes associated with complex diseases.

Similar Datasets

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