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PMID: 22492991 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Gene identification in the congenital disorders of glycosylation type I by whole-exome sequencing.

Human molecular genetics ·Vol. 21 ·No. 19 ·2012-10-01 ·Pages 4151-61

Timal S, Hoischen A, Lehle L, Adamowicz M, Huijben K, Sykut-Cegielska J, Paprocka J, Jamroz E, van Spronsen FJ, Körner C, Gilissen C, Rodenburg RJ, Eidhof I, Van den Heuvel L, Thiel C, Wevers RA, Morava E, Veltman J, Lefeber DJ

Abstract

Congenital disorders of glycosylation type I (CDG-I) form a growing group of recessive neurometabolic diseases. Identification of disease genes is compromised by the enormous heterogeneity in clinical symptoms and the large number of potential genes involved. Until now, gene identification included the sequential application of biochemical methods in blood samples and fibroblasts. In genetically unsolved cases, homozygosity mapping has been applied in consanguineous families. Altogether, this time-consuming diagnostic strategy led to the identification of defects in 17 different CDG-I genes. Here, we applied whole-exome sequencing (WES) in combination with the knowledge of the protein N-glycosylation pathway for gene identification in our remaining group of six unsolved CDG-I patients from unrelated non-consanguineous families. Exome variants were prioritized based on a list of 76 potential CDG-I candidate genes, leading to the rapid identification of one known and two novel CDG-I gene defects. These included the first X-linked CDG-I due to a de novo mutation in ALG13, and compound heterozygous mutations in DPAGT1, together the first two steps in dolichol-PP-glycan assembly, and mutations in PGM1 in two cases, involved in nucleotide sugar biosynthesis. The pathogenicity of the mutations was confirmed by showing the deficient activity of the corresponding enzymes in patient fibroblasts. Combined with these results, the gene defect has been identified in 98% of our CDG-I patients. Our results implicate the potential of WES to unravel disease genes in the CDG-I in newly diagnosed singleton families.

MeSH Terms
Adolescent Child Child, Preschool Cohort Studies Congenital Disorders of Glycosylation/genetics,metabolism Exome Female Genome, Human Glycosylation Humans Infant Male Molecular Sequence Data Mutation Pedigree Proteins/genetics,metabolism Sequence Analysis, DNA Young Adult
Chemicals
Proteins
Authors & Affiliations
19 authors, click to expand affiliations / ORCID
Timal Sharita
Department of Neurology, Institute for Genetic and Metabolic Disease, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands.
Hoischen Alexander
Lehle Ludwig
Adamowicz Maciej
Huijben Karin
Sykut-Cegielska Jolanta
Paprocka Justyna
Jamroz Ewa
van Spronsen Francjan J
Körner Christian
Gilissen Christian
Rodenburg Richard J
Eidhof Ilse
Van den Heuvel Lambert
Thiel Christian
Wevers Ron A
Morava Eva
Veltman Joris
Lefeber Dirk J
Article Info
Journal
Human molecular genetics
Abbr.
Hum Mol Genet
ISSN
1460-2083
Published
2012-10-01
Epub
2012-00-05
Pages
4151-61
Language
English
Region
England
NLM ID
9208958
Subset
IM
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