2010
DOI: 10.1186/gb-2010-11-5-r52
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Towards a comprehensive structural variation map of an individual human genome

Abstract: A comprehensive map of structural variation in the human genome provides a reference dataset for analyses of future personal genomes.

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Cited by 291 publications
(275 citation statements)
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“…Deletions are often associated with diseases (19), and less-common variants generally have a higher impact in driving human diseases (20). In addition, low-frequency CNVs are not well-tagged by SNPs (21) and, therefore, would carry distinct information from previously studied common SNPs that have been evaluated for their potential association with prostate cancer (22). We anticipated that functionally active low-frequency deletions might unravel an as yet unexplored portion of the genetic background.…”
Section: Resultsmentioning
confidence: 99%
“…Deletions are often associated with diseases (19), and less-common variants generally have a higher impact in driving human diseases (20). In addition, low-frequency CNVs are not well-tagged by SNPs (21) and, therefore, would carry distinct information from previously studied common SNPs that have been evaluated for their potential association with prostate cancer (22). We anticipated that functionally active low-frequency deletions might unravel an as yet unexplored portion of the genetic background.…”
Section: Resultsmentioning
confidence: 99%
“…The overall frequency of CNVs identified in nearly 1000 subjects from 261 early/mixed-onset AD families (Table 1) are similar to that described in previous studies utilizing the Affymetrix SNP 6.0 microarray. 23,33 CNV segments that showed o70% overlap with CNPs reported on DGV were analyzed for segregation with disease. These analyses confirmed APP locus duplication previously reported in two EO-FAD families.…”
Section: Resultsmentioning
confidence: 99%
“…Copy-number neutrality might also be consistent with a mate-pair event if there are corresponding gains and losses on different alleles for which one allele escaped mate-pair detection. Most importantly, mate-pair analysis detects all manner of SVs that are invisible to arrays, including tandem repeat expansions and gain or loss of mobile genetic elements.Recent descriptions of data from the 1000 Genomes Project and other high-coverage human genome sequences highlight final limitations of both SNP arrays and low-depth mate-pair sequencing (Durbin et al 2010;Pang et al 2010;Sudmant et al 2010). First, it is now clear that the frequency of human population 682 M. F. Arlt et al…”
mentioning
confidence: 99%