Systematic assessment of copy number variant detection via genome-wide SNP genotyping.
Systematic assessment of copy number variant detection via genome-wide SNP genotyping.
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DOI:
10.1038/ng.236
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发表时间:
2008-10
期刊:
影响因子:
30.8
通讯作者:
Nickerson, Deborah A.
中科院分区:
文献类型:
--
作者:
Cooper, Gregory M.;Zerr, Troy;Kidd, Jeffrey M.;Eichler, Evan E.;Nickerson, Deborah A.
Single nucleotide polymorphism (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 nine samples we inferred 368 CNVs using Illumina SNP genotyping data and experimentally validated over two-thirds of these. We also developed a method (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.
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Singleton, AB;Farrer, M;Gwinn-Hardy, K
通讯作者:
Gwinn-Hardy, K
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