Methods and strategies for analyzing copy number variation using DNA microarrays
Top Cited Papers
- 27 June 2007
- journal article
- review article
- Published by Springer Nature in Nature Genetics
- Vol. 39 (S7) , S16-S21
- https://doi.org/10.1038/ng2028
Abstract
The association of DNA copy-number variation (CNV) with specific gene function and human disease has been long known, but the wide scope and prevalence of this form of variation has only recently been fully appreciated. The latest studies using microarray technology have demonstrated that as much as 12% of the human genome and thousands of genes are variable in copy number, and this diversity is likely to be responsible for a significant proportion of normal phenotypic variation. Current challenges involve developing methods not only for detecting and cataloging CNVs in human populations at increasingly higher resolution but also for determining the association of CNVs with biological function, recent human evolution, and common and complex human disease.Keywords
This publication has 65 references indexed in Scilit:
- Challenges and standards in integrating surveys of structural variationNature Genetics, 2007
- Global variation in copy number in the human genomeNature, 2006
- Genome assembly comparison identifies structural variants in the human genomeNature Genetics, 2006
- Linkage Disequilibrium and Heritability of Copy-Number Polymorphisms within Duplicated Regions of the Human GenomeAmerican Journal of Human Genetics, 2006
- Hotspots for copy number variation in chimpanzees and humansProceedings of the National Academy of Sciences, 2006
- A high-resolution survey of deletion polymorphism in the human genomeNature Genetics, 2005
- A haplotype map of the human genomeNature, 2005
- Fine-scale structural variation of the human genomeNature Genetics, 2005
- Advanced sequencing technologies: methods and goalsNature Reviews Genetics, 2004
- Integration of cytogenetic landmarks into the draft sequence of the human genomeNature, 2001