Cited by 605Genomic variations and chromosomal abnormalitiesGenomics and Rare DiseasesDown syndrome and intellectual disability research

Diagnostic genome profiling in mental retardation

Open access
de Vries, Bert B.A., Pfundt, Rolph, Leisink, Martijn, Koolen, David A., Vissers, Lisenka E.L.M., Janssen, Irene M., Reijmersdal, Simon van, Nillesen, Willy M. +10 more·2005·The American Journal of Human Genetics

Abstract

Mental retardation (MR) occurs in 2%-3% of the general population. Conventional karyotyping has a resolution of 5-10 million bases and detects chromosomal alterations in approximately 5% of individuals with unexplained MR. The frequency of smaller submicroscopic chromosomal alterations in these patients is unknown. Novel molecular karyotyping methods, such as array-based comparative genomic hybridization (array CGH), can detect submicroscopic chromosome alterations at a resolution of 100 kb. In this study, 100 patients with unexplained MR were analyzed using array CGH for DNA copy-number changes by use of a novel tiling-resolution genomewide microarray containing 32,447 bacterial artificial clones. Alterations were validated by fluorescence in situ hybridization and/or multiplex ligation-dependent probe amplification, and parents were tested to determine de novo occurrence. Reproducible DNA copy-number changes were present in 97% of patients. The majority of these alterations were inherited from phenotypically normal parents, which reflects normal large-scale copy-number variation. In 10% of the patients, de novo alterations considered to be clinically relevant were found: seven deletions and three duplications. These alterations varied in size from 540 kb to 12 Mb and were scattered throughout the genome. Our results indicate that the diagnostic yield of this approach in the general population of patients with MR is at least twice as high as that of standard GTG-banded karyotyping.

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Crossref · 10.1086/491719

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  • Large de novo copy number variants are significantly enriched among ASD/ID probands compared with unaffected siblings or controls.

    “By contrast, targeted and genome-wide microarray studies revealed that large de novo copy number variants (CNVs) were significantly enriched among probands when compared to unaffected siblings and/or controls [8–14]”

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Authors
de Vries, B. B. A., Pfundt, R., Leisink, M., Koolen, D. A., Vissers, L. E. L. M., Janssen, I. M., Reijmersdal, S. V., Nillesen, W. M., Huys, E. H. L. P. G., Leeuw, N. D., Smeets, D., Sistermans, E. A., Feuth, T., van Ravenswaaij-Arts, C. M. A., van Kessel, A. G., Schoenmakers, E. F. P. M., Brunner, H. G., & Veltman, J. A.
Affiliations
Radboud University Medical Center (NL)
Venue
The American Journal of Human Genetics
Publisher
Elsevier BV
Published
2005-10
Volume
77
Issue
4
Pages
606-616
ISSN
0002-9297 (ISSN-L)
OpenAlex
W2155677754
Cited by
605
References
132
Citations by year
2025: 2 · 2024: 10 · 2023: 6 · 2022: 7 · 2021: 9 · 2020: 7 · 2019: 15 · 2018: 10 · 2017: 15 · 2016: 17 · 2015: 27 · 2014: 15 · 2013: 19 · 2012: 34
FWCI
37.57
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Human Genetics (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Down syndrome and intellectual disability research
Keywords
intellectual disability, copy number variation, array comparative genomic hybridization, tiling microarrays, deletions and duplications, diagnostic yield
MeSH terms
Adolescent, Adult, Child, Female, Humans, Karyotyping, Male, Intellectual Disability, Nucleic Acid Hybridization, Genome, Human, Gene Expression Profiling

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