Array CGH analysis of copy number variation identifies 1284 new genes variant in healthy white males: implications for association studies of complex diseases - PubMed (original) (raw)
. 2007 Dec 1;16(23):2783-94.
doi: 10.1093/hmg/ddm208. Epub 2007 Jul 31.
Anya Tsalenko, Nick Sampas, Alicia Scheffer, N Alice Yamada, Peter Tsang, Amir Ben-Dor, Zohar Yakhini, Richard J Ellis, Laurakay Bruhn, Stephen Laderman, Philippe Froguel, Alexandra I F Blakemore
Affiliations
- PMID: 17666407
- DOI: 10.1093/hmg/ddm208
Array CGH analysis of copy number variation identifies 1284 new genes variant in healthy white males: implications for association studies of complex diseases
Adam J de Smith et al. Hum Mol Genet. 2007.
Abstract
The discovery of copy number variation in healthy individuals is far from complete, and owing to the resolution of detection systems used, the majority of loci reported so far are relatively large ( approximately 65%>10 kb). Applying a two-stage high-resolution array comparative genomic hybridization approach to analyse 50 healthy Caucasian males from northern France, we discovered 2208 copy number variants (CNVs) detected by more than one consecutive probe. These clustered into 1469 CNV regions (CNVRs), of which 721 are thought to be novel. The majority of these are small (median size 4.4 kb) and most have common boundaries, with a coefficient of variation less than 0.1 for 83% of endpoints in those observed in multiple samples. Only 6% of the CNVRs analysed showed evidence of both copy number losses and gains at the same site. A further 6089 variants were detected by single probes: 48% of these were observed in more than one individual. In total, 2570 genes were seen to intersect variants: 1284 in novel loci. Genes involved in differentiation and development were significantly over-represented and approximately half of the genes identified feature in the Online Mendelian Inheritance in Man database. The biological importance of many genes affected, along with the well-conserved nature of the majority of the CNVs, suggests that they could have important implications for phenotype and, thus, be useful for association studies of complex diseases.
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