A high-resolution copy-number variation resource for clinical and population genetics

Purpose:Chromosomal microarray analysis to assess copy-number variation has become a first-tier genetic diagnostic test for individuals with unexplained neurodevelopmental disorders or multiple congenital anomalies. More than 100 cytogenetic laboratories worldwide use the new ultra-high resolution Affymetrix CytoScan-HD array to genotype hundreds of thousands of samples per year. Our aim was to develop a copy-number variation resource from a new population sample that would enable more accurate interpretation of clinical genetics data on this microarray platform and others.Methods:Genotyping of 1,000 adult volunteers who are broadly representative of the Ontario population (as obtained from the Ontario Population Genomics Platform) was performed with the CytoScan-HD microarray system, which has 2.7 million probes. Four independent algorithms were applied to detect copy-number variations. Reproducibility and validation metrics were quantified using sample replicates and quantitative-polymerase chain reaction, respectively.Results:DNA from 873 individuals passed quality control and we identified 71,178 copy-number variations (81 copy-number variations/individual); 9.8% (6,984) of these copy-number variations were previously unreported. After applying three layers of filtering criteria, from our highest confidence copy-number variation data set we obtained >95% reproducibility and >90% validation rates (73% of these copy-number variations overlapped at least one gene).Conclusion:The genotype data and annotated copy-number variations for this largely Caucasian population will represent a valuable public resource enabling clinical genetics research and diagnostics.Genet Med 17 9, 747–752.

[1]  X. Estivill,et al.  Copy number variants and genetic traits: closer to the resolution of phenotypic to genotypic variability , 2007, Nature Reviews Genetics.

[2]  K. Mossman The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[3]  Edwin H. Cook,et al.  Copy-number variations associated with neuropsychiatric conditions , 2008, Nature.

[4]  Lars Feuk,et al.  The Database of Genomic Variants: a curated collection of structural variation in the human genome , 2013, Nucleic Acids Res..

[5]  Tomas W. Fitzgerald,et al.  Origins and functional impact of copy number variation in the human genome , 2010, Nature.

[6]  Daniele Merico,et al.  Pathogenic rare copy number variants in community-based schizophrenia suggest a potential role for clinical microarrays. , 2013, Human molecular genetics.

[7]  John Wei,et al.  Disruption of the ASTN2/TRIM32 locus at 9q33.1 is a risk factor in males for autism spectrum disorders, ADHD and other neurodevelopmental phenotypes. , 2014, Human molecular genetics.

[8]  F. Hisama,et al.  Diagnostic yield of array comparative genomic hybridization in adults with autism spectrum disorders , 2013, Genetics in Medicine.

[9]  Ryan Mills,et al.  Comprehensive assessment of array-based platforms and calling algorithms for detection of copy number variants , 2011, Nature Biotechnology.

[10]  R. Reading,et al.  Clinical genetic testing for patients with autism spectrum disorders , 2010 .

[11]  Leslie G Biesecker,et al.  Consensus statement: chromosomal microarray is a first-tier clinical diagnostic test for individuals with developmental disabilities or congenital anomalies. , 2010, American journal of human genetics.

[12]  Gary D Bader,et al.  Functional impact of global rare copy number variation in autism spectrum disorders , 2010, Nature.

[13]  Bernie Devlin,et al.  Genetic architecture in autism spectrum disorder. , 2012, Current opinion in genetics & development.

[14]  S. Scherer,et al.  Contemplating effects of genomic structural variation , 2008, Genetics in Medicine.

[15]  Charles Lee,et al.  The clinical context of copy number variation in the human genome , 2010, Expert Reviews in Molecular Medicine.

[16]  S. Gallinger,et al.  Ontario familial colon cancer registry: methods and first-year response rates. , 2000, Chronic diseases in Canada.

[17]  A. Pang,et al.  Performance of High-Throughput Sequencing for the Discovery of Genetic Variation Across the Complete Size Spectrum , 2013, G3: Genes, Genomes, Genetics.

[18]  Daniele Merico,et al.  Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder , 2014, Nature Genetics.

[19]  E. Rajcan-Separovic,et al.  Clinical application of 2.7M Cytogenetics array for CNV detection in subjects with idiopathic autism and/or intellectual disability , 2013, Clinical genetics.

[20]  Sharon R Grossman,et al.  Integrating common and rare genetic variation in diverse human populations , 2010, Nature.

[21]  I. Andrulis,et al.  Polymorphisms XRCC1-R399Q and XRCC3-T241M and the risk of breast cancer at the Ontario site of the Breast Cancer Family Registry. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

[22]  Sharyn A. Lincoln,et al.  Clinical Genetic Testing for Patients With Autism Spectrum Disorders , 2010, Pediatrics.