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pubmed-article:18776910pubmed:abstractTextSNP 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.lld:pubmed
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pubmed-article:18776910pubmed:articleTitleSystematic assessment of copy number variant detection via genome-wide SNP genotyping.lld:pubmed
pubmed-article:18776910pubmed:affiliationDepartment of Genome Sciences, University of Washington, Seattle, Washington 98195, USA. coopergm@u.washington.edulld:pubmed
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