Abstract:
:We present a database of copy number variations (CNVs) detected in 2026 disease-free individuals, using high-density, SNP-based oligonucleotide microarrays. This large cohort, comprised mainly of Caucasians (65.2%) and African-Americans (34.2%), was analyzed for CNVs in a single study using a uniform array platform and computational process. We have catalogued and characterized 54,462 individual CNVs, 77.8% of which were identified in multiple unrelated individuals. These nonunique CNVs mapped to 3272 distinct regions of genomic variation spanning 5.9% of the genome; 51.5% of these were previously unreported, and >85% are rare. Our annotation and analysis confirmed and extended previously reported correlations between CNVs and several genomic features such as repetitive DNA elements, segmental duplications, and genes. We demonstrate the utility of this data set in distinguishing CNVs with pathologic significance from normal variants. Together, this analysis and annotation provides a useful resource to assist with the assessment of CNVs in the contexts of human variation, disease susceptibility, and clinical molecular diagnostics.
journal_name
Genome Resjournal_title
Genome researchauthors
Shaikh TH,Gai X,Perin JC,Glessner JT,Xie H,Murphy K,O'Hara R,Casalunovo T,Conlin LK,D'Arcy M,Frackelton EC,Geiger EA,Haldeman-Englert C,Imielinski M,Kim CE,Medne L,Annaiah K,Bradfield JP,Dabaghyan E,Eckert A,Onyiadoi
10.1101/gr.083501.108subject
Has Abstractpub_date
2009-09-01 00:00:00pages
1682-90issue
9eissn
1088-9051issn
1549-5469pii
gr.083501.108journal_volume
19pub_type
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