Copyright © 2005 The American Society of Human Genetics. All rights reserved.
The American Journal of Human Genetics, Volume 77, Issue 5, 709-726, 1 November 2005
doi:10.1086/497343
Howard R. Slater1, 2, *,
,
, Dione K. Bailey5, *, Hua Ren3, Manqiu Cao6, Katrina Bell3, Steven Nasioulas1, Robert Henke4, K.H. Andy Choo2, 3 and Giulia C. Kennedy5
1 Genetic Health Cytogenetics Laboratory, Melbourne
2 University of Melbourne Department of Paediatrics, Melbourne
3 Murdoch Children's Research Institute and Royal Children's Hospital, Melbourne
4 Millennium Biosciences, Box Hill, Australia
5 Affymetrix, Santa Clara, CA
Address for correspondence and reprints: Dr. Howard R. Slater, Genetic Health Services Victoria Cytogenetics Laboratory, 10th Floor, Royal Children's Hospital, Parkville, Victoria 3052, AustraliaAbstract
Mutation of the human genome ranges from single base-pair changes to whole-chromosome aneuploidy. Karyotyping, fluorescence in situ hybridization, and comparative genome hybridization are currently used to detect chromosome abnormalities of clinical significance. These methods, although powerful, suffer from limitations in speed, ease of use, and resolution, and they do not detect copy-neutral chromosomal aberrations—for example, uniparental disomy (UPD). We have developed a high-throughput approach for assessment of DNA copy-number changes, through use of high-density synthetic oligonucleotide arrays containing 116,204 single-nucleotide polymorphisms, spaced at an average distance of 23.6 kb across the genome. Using this approach, we analyzed samples that failed conventional karyotypic analysis, and we detected amplifications and deletions across a wide range of sizes (1.3–145.9 Mb), identified chromosomes containing anonymous chromatin, and used genotype data to determine the molecular origin of two cases of UPD. Furthermore, our data provided independent confirmation for a case that had been misinterpreted by karyotype analysis. The high resolution of our approach provides more-precise breakpoint mapping, which allows subtle phenotypic heterogeneity to be distinguished at a molecular level. The accurate genotype information provided on these arrays enables the identification of copy-neutral loss-of-heterozygosity events, and the minimal requirement of DNA (250 ng per array) allows rapid analysis of samples without the need for cell culture. This technology overcomes many limitations currently encountered in routine clinical diagnostic laboratories tasked with accurate and rapid diagnosis of chromosomal abnormalities.
| Highly Sensitive Method for Genomewide Detection of Allelic Composition in Nonpaired, Primary Tumor Specimens by Use of Affymetrix Single-Nucleotide–Polymorphism Genotyping Microarrays The American Journal of Human Genetics, Volume 81, Issue 1, 1 July 2007, Pages 114-126 Go Yamamoto, Yasuhito Nannya, Motohiro Kato, Masashi Sanada, Ross L. Levine, Norihiko Kawamata, Akira Hangaishi, Mineo Kurokawa, Shigeru Chiba, D. Gary Gilliland, H. Phillip Koeffler and Seishi Ogawa Abstract Loss of heterozygosity (LOH), either with or without accompanying copy-number loss, is a cardinal feature of cancer genomes that is tightly linked to cancer development. However, detection of LOH is frequently hampered by the presence of normal cell components within tumor specimens and the limitation in availability of constitutive DNA. Here, we describe a simple but highly sensitive method for genomewide detection of allelic composition, based on the Affymetrix single-nucleotide–polymorphism genotyping microarray platform, without dependence on the availability of constitutive DNA. By sensing subtle distortions in allele-specific signals caused by allelic imbalance with the use of anonymous controls, sensitive detection of LOH is enabled with accurate determination of allele-specific copy numbers, even in the presence of up to 70%–80% normal cell contamination. The performance of the new algorithm, called “AsCNAR” (allele-specific copy-number analysis using anonymous references), was demonstrated by detecting the copy-number neutral LOH, or uniparental disomy (UPD), in a large number of acute leukemia samples. We next applied this technique to detection of UPD involving the 9p arm in myeloproliferative disorders (MPDs), which is tightly associated with a homozygous JAK2 mutation. It revealed an unexpectedly high frequency of 9p UPD that otherwise would have been undetected and also disclosed the existence of multiple subpopulations having distinct 9p UPD within the same MPD specimen. In conclusion, AsCNAR should substantially improve our ability to dissect the complexity of cancer genomes and should contribute to our understanding of the genetic basis of human cancers. Abstract | | |
| Oligonucleotide Microarray Analysis of Genomic Imbalance in Children with Mental Retardation The American Journal of Human Genetics, Volume 79, Issue 3, 1 September 2006, Pages 500-513 J.M. Friedman, Ágnes Baross, Allen D. Delaney, Adrian Ally, Laura Arbour, Jennifer Asano, Dione K. Bailey, Sarah Barber, Patricia Birch, Mabel Brown-John, Manqiu Cao, Susanna Chan, David L. Charest, Noushin Farnoud, Nicole Fernandes, Stephane Flibotte, Anne Go, William T. Gibson, Robert A. Holt, Steven J.M. Jones, Giulia C. Kennedy, Martin Krzywinski, Sylvie Langlois, Haiyan I. Li, Barbara C. McGillivray, Tarun Nayar, Trevor J. Pugh, Evica Rajcan-Separovic, Jacqueline E. Schein, Angelique Schnerch, Asim Siddiqui, Margot I. Van Allen, Gary Wilson, Siu-Li Yong, Farah Zahir, Patrice Eydoux and Marco A. Marra Abstract The cause of mental retardation in one-third to one-half of all affected individuals is unknown. Microscopically detectable chromosomal abnormalities are the most frequently recognized cause, but gain or loss of chromosomal segments that are too small to be seen by conventional cytogenetic analysis has been found to be another important cause. Array-based methods offer a practical means of performing a high-resolution survey of the entire genome for submicroscopic copy-number variants. We studied 100 children with idiopathic mental retardation and normal results of standard chromosomal analysis, by use of whole-genome sampling analysis with Affymetrix GeneChip Human Mapping 100K arrays. We found de novo deletions as small as 178 kb in eight cases, de novo duplications as small as 1.1 Mb in two cases, and unsuspected mosaic trisomy 9 in another case. This technology can detect at least twice as many potentially pathogenic de novo copy-number variants as conventional cytogenetic analysis can in people with mental retardation. Abstract | | |
| Structural Variation of Chromosomes in Autism Spectrum Disorder The American Journal of Human Genetics, Volume 82, Issue 2, 8 February 2008, Pages 477-488 Christian R. Marshall, Abdul Noor, John B. Vincent, Anath C. Lionel, Lars Feuk, Jennifer Skaug, Mary Shago, Rainald Moessner, Dalila Pinto, Yan Ren, Bhooma Thiruvahindrapduram, Andreas Fiebig, Stefan Schreiber, Jan Friedman, Cees E.J. Ketelaars, Yvonne J. Vos, Can Ficicioglu, Susan Kirkpatrick, Rob Nicolson, Leon Sloman, Anne Summers, Clare A. Gibbons, Ahmad Teebi, David Chitayat, Rosanna Weksberg, Ann Thompson, Cathy Vardy, Vicki Crosbie, Sandra Luscombe, Rebecca Baatjes, Lonnie Zwaigenbaum, Wendy Roberts, Bridget Fernandez, Peter Szatmari and Stephen W. Scherer Abstract Structural variation (copy number variation [CNV] including deletion and duplication, translocation, inversion) of chromosomes has been identified in some individuals with autism spectrum disorder (ASD), but the full etiologic role is unknown. We performed genome-wide assessment for structural abnormalities in 427 unrelated ASD cases via single-nucleotide polymorphism microarrays and karyotyping. With microarrays, we discovered 277 unbalanced CNVs in 44% of ASD families not present in 500 controls (and re-examined in another 1152 controls). Karyotyping detected additional balanced changes. Although most variants were inherited, we found a total of 27 cases with de novo alterations, and in three (11%) of these individuals, two or more new variants were observed. De novo CNVs were found in ∼7% and ∼2% of idiopathic families having one child, or two or more ASD siblings, respectively. We also detected 13 loci with recurrent/overlapping CNV in unrelated cases, and at these sites, deletions and duplications affecting the same gene(s) in different individuals and sometimes in asymptomatic carriers were also found. Notwithstanding complexities, our results further implicate the SHANK3-NLGN4-NRXN1 postsynaptic density genes and also identify novel loci at DPP6-DPP10-PCDH9 (synapse complex), ANKRD11, DPYD, PTCHD1, 15q24, among others, for a role in ASD susceptibility. Our most compelling result discovered CNV at 16p11.2 (p = 0.002) (with characteristics of a genomic disorder) at ∼1% frequency. Some of the ASD regions were also common to mental retardation loci. Structural variants were found in sufficiently high frequency influencing ASD to suggest that cytogenetic and microarray analyses be considered in routine clinical workup. Abstract | | |