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Nat Genet. 2008 Oct;40(10):1199-203. doi: 10.1038/ng.236. Epub 2008 Sep 7.

Systematic assessment of copy number variant detection via genome-wide SNP genotyping.

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  • 1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. coopergm@u.washington.edu

Abstract

SNP genotyping has emerged as a technology to incorporate copy number variants (CNVs) into genetic analyses of human traits. However, the extent to which SNP platforms accurately capture CNVs remains unclear. Using independent, sequence-based CNV maps, we find that commonly used SNP platforms have limited or no probe coverage for a large fraction of CNVs. Despite this, in 9 samples we inferred 368 CNVs using Illumina SNP genotyping data and experimentally validated over two-thirds of these. We also developed a method (SNP-Conditional Mixture Modeling, SCIMM) to robustly genotype deletions using as few as two SNP probes. We find that HapMap SNPs are strongly correlated with 82% of common deletions, but the newest SNP platforms effectively tag about 50%. We conclude that currently available genome-wide SNP assays can capture CNVs accurately, but improvements in array designs, particularly in duplicated sequences, are necessary to facilitate more comprehensive analyses of genomic variation.

PMID:
18776910
[PubMed - indexed for MEDLINE]
PMCID:
PMC2759751
Free PMC Article

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