Detection of cryptic pathogenic copy number variations and constitutional loss of heterozygosity using high resolution SNP microarray analysis in 117 patients referred for cytogenetic analysis and impact on clinical practice

Background:Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distin...

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Published inJournal of medical genetics Vol. 46; no. 2; pp. 123 - 131
Main Authors Bruno, D L, Ganesamoorthy, D, Schoumans, J, Bankier, A, Coman, D, Delatycki, M, Gardner, R J M, Hunter, M, James, P A, Kannu, P, McGillivray, G, Pachter, N, Peters, H, Rieubland, C, Savarirayan, R, Scheffer, I E, Sheffield, L, Tan, T, White, S M, Yeung, A, Bowman, Z, Ngo, C, Choy, K W, Cacheux, V, Wong, L, Amor, D J, Slater, H R
Format Journal Article
LanguageEnglish
Published London BMJ Publishing Group Ltd 01.02.2009
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Abstract Background:Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distinction of pathogenic from ubiquitous, benign polymorphic CNVs. The aim of this study was to investigate replacement of time consuming, locus specific testing for specific microdeletion and microduplication syndromes with microarray analysis, which theoretically should detect all known syndromes with CNV aetiologies as well as new ones.Methods:Genome wide copy number analysis was performed on 117 patients using Affymetrix 250K microarrays.Results:434 CNVs (195 losses and 239 gains) were found, including 18 pathogenic CNVs and 9 identified as “potentially pathogenic”. Almost all pathogenic CNVs were larger than 500 kb, significantly larger than the median size of all CNVs detected. Segmental regions of loss of heterozygosity larger than 5 Mb were found in 5 patients.Conclusions:Genome microarray analysis has improved diagnostic success in this group of patients. Several examples of recently discovered “new syndromes” were found suggesting they are more common than previously suspected and collectively are likely to be a major cause of mental retardation. The findings have several implications for clinical practice. The study revealed the potential to make genetic diagnoses that were not evident in the clinical presentation, with implications for pretest counselling and the consent process. The importance of contributing novel CNVs to high quality databases for genotype–phenotype analysis and review of guidelines for selection of individuals for microarray analysis is emphasised.
AbstractList Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distinction of pathogenic from ubiquitous, benign polymorphic CNVs. The aim of this study was to investigate replacement of time consuming, locus specific testing for specific microdeletion and microduplication syndromes with microarray analysis, which theoretically should detect all known syndromes with CNV aetiologies as well as new ones. Genome wide copy number analysis was performed on 117 patients using Affymetrix 250K microarrays. 434 CNVs (195 losses and 239 gains) were found, including 18 pathogenic CNVs and 9 identified as "potentially pathogenic". Almost all pathogenic CNVs were larger than 500 kb, significantly larger than the median size of all CNVs detected. Segmental regions of loss of heterozygosity larger than 5 Mb were found in 5 patients. Genome microarray analysis has improved diagnostic success in this group of patients. Several examples of recently discovered "new syndromes" were found suggesting they are more common than previously suspected and collectively are likely to be a major cause of mental retardation. The findings have several implications for clinical practice. The study revealed the potential to make genetic diagnoses that were not evident in the clinical presentation, with implications for pretest counselling and the consent process. The importance of contributing novel CNVs to high quality databases for genotype-phenotype analysis and review of guidelines for selection of individuals for microarray analysis is emphasised.
Background:Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distinction of pathogenic from ubiquitous, benign polymorphic CNVs. The aim of this study was to investigate replacement of time consuming, locus specific testing for specific microdeletion and microduplication syndromes with microarray analysis, which theoretically should detect all known syndromes with CNV aetiologies as well as new ones.Methods:Genome wide copy number analysis was performed on 117 patients using Affymetrix 250K microarrays.Results:434 CNVs (195 losses and 239 gains) were found, including 18 pathogenic CNVs and 9 identified as “potentially pathogenic”. Almost all pathogenic CNVs were larger than 500 kb, significantly larger than the median size of all CNVs detected. Segmental regions of loss of heterozygosity larger than 5 Mb were found in 5 patients.Conclusions:Genome microarray analysis has improved diagnostic success in this group of patients. Several examples of recently discovered “new syndromes” were found suggesting they are more common than previously suspected and collectively are likely to be a major cause of mental retardation. The findings have several implications for clinical practice. The study revealed the potential to make genetic diagnoses that were not evident in the clinical presentation, with implications for pretest counselling and the consent process. The importance of contributing novel CNVs to high quality databases for genotype–phenotype analysis and review of guidelines for selection of individuals for microarray analysis is emphasised.
BACKGROUNDMicroarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital abnormality. Copy number variations (CNVs) are now readily detectable using a variety of platforms and a major challenge is the distinction of pathogenic from ubiquitous, benign polymorphic CNVs. The aim of this study was to investigate replacement of time consuming, locus specific testing for specific microdeletion and microduplication syndromes with microarray analysis, which theoretically should detect all known syndromes with CNV aetiologies as well as new ones.METHODSGenome wide copy number analysis was performed on 117 patients using Affymetrix 250K microarrays.RESULTS434 CNVs (195 losses and 239 gains) were found, including 18 pathogenic CNVs and 9 identified as "potentially pathogenic". Almost all pathogenic CNVs were larger than 500 kb, significantly larger than the median size of all CNVs detected. Segmental regions of loss of heterozygosity larger than 5 Mb were found in 5 patients.CONCLUSIONSGenome microarray analysis has improved diagnostic success in this group of patients. Several examples of recently discovered "new syndromes" were found suggesting they are more common than previously suspected and collectively are likely to be a major cause of mental retardation. The findings have several implications for clinical practice. The study revealed the potential to make genetic diagnoses that were not evident in the clinical presentation, with implications for pretest counselling and the consent process. The importance of contributing novel CNVs to high quality databases for genotype-phenotype analysis and review of guidelines for selection of individuals for microarray analysis is emphasised.
Author Scheffer, I E
Gardner, R J M
Yeung, A
Peters, H
Coman, D
James, P A
Kannu, P
McGillivray, G
Choy, K W
Bruno, D L
Savarirayan, R
Bankier, A
Tan, T
Bowman, Z
Delatycki, M
Ngo, C
Rieubland, C
Wong, L
White, S M
Ganesamoorthy, D
Sheffield, L
Amor, D J
Hunter, M
Cacheux, V
Schoumans, J
Pachter, N
Slater, H R
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Issue 2
Keywords Human
High resolution
Copy number
Pathogenesis
Variations
Patient
Cryptic
Pathogenic
Professional practice
Loss of heterozygosity
Cytogenetics
Genetics
Single nucleotide polymorphism
Detection
Language English
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PublicationTitle Journal of medical genetics
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PublicationYear 2009
Publisher BMJ Publishing Group Ltd
BMJ Publishing Group
BMJ Publishing Group LTD
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Snippet Background:Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and...
Background: Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and...
Microarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and congenital...
BACKGROUNDMicroarray genome analysis is realising its promise for improving detection of genetic abnormalities in individuals with mental retardation and...
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StartPage 123
SubjectTerms Biological and medical sciences
Cytogenetic Analysis
Fundamental and applied biological sciences. Psychology
Gene Dosage
Gene Expression Profiling
Genetic testing
Genetic Variation
Genetics of eukaryotes. Biological and molecular evolution
Genome, Human
Genomes
Humans
Intellectual disabilities
Intellectual Disability - diagnosis
Intellectual Disability - genetics
Loss of Heterozygosity
Medical genetics
Medical sciences
Medicin och hälsovetenskap
Microarray Analysis
Molecular and cellular biology
Polymorphism, Single Nucleotide - genetics
Thrombocytopenia
Title Detection of cryptic pathogenic copy number variations and constitutional loss of heterozygosity using high resolution SNP microarray analysis in 117 patients referred for cytogenetic analysis and impact on clinical practice
URI http://dx.doi.org/10.1136/jmg.2008.062604
https://api.istex.fr/ark:/67375/NVC-DC7FLVXN-C/fulltext.pdf
https://www.ncbi.nlm.nih.gov/pubmed/19015223
https://www.proquest.com/docview/1781171902
https://search.proquest.com/docview/66872806
http://kipublications.ki.se/Default.aspx?queryparsed=id:118241957
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