Genetic Structures of Copy Number Variants Revealed by Genotyping Single Sperm

Copy number variants (CNVs) occupy a significant portion of the human genome and may have important roles in meiotic recombination, human genome evolution and gene expression. Many genetic diseases may be underlain by CNVs. However, because of the presence of their multiple copies, variability in co...

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Published inPloS one Vol. 4; no. 4; p. e5236
Main Authors Luo, Minjie, Cui, Xiangfeng, Fredman, David, Brookes, Anthony J., Azaro, Marco A., Greenawalt, Danielle M., Hu, Guohong, Wang, Hui-Yun, Tereshchenko, Irina V., Lin, Yong, Shentu, Yue, Gao, Richeng, Shen, Li, Li, Honghua
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 22.04.2009
Public Library of Science (PLoS)
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Summary:Copy number variants (CNVs) occupy a significant portion of the human genome and may have important roles in meiotic recombination, human genome evolution and gene expression. Many genetic diseases may be underlain by CNVs. However, because of the presence of their multiple copies, variability in copy numbers and the diploidy of the human genome, detailed genetic structure of CNVs cannot be readily studied by available techniques. Single sperm samples were used as the primary subjects for the study so that CNV haplotypes in the sperm donors could be studied individually. Forty-eight CNVs characterized in a previous study were analyzed using a microarray-based high-throughput genotyping method after multiplex amplification. Seventeen single nucleotide polymorphisms (SNPs) were also included as controls. Two single-base variants, either allelic or paralogous, could be discriminated for all markers. Microarray data were used to resolve SNP alleles and CNV haplotypes, to quantitatively assess the numbers and compositions of the paralogous segments in each CNV haplotype. This is the first study of the genetic structure of CNVs on a large scale. Resulting information may help understand evolution of the human genome, gain insight into many genetic processes, and discriminate between CNVs and SNPs. The highly sensitive high-throughput experimental system with haploid sperm samples as subjects may be used to facilitate detailed large-scale CNV analysis.
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Current address: Department for Molecular Evolution and Development, Centre for Organismal Systems Biology, Faculty of Life Sciences, University of Vienna, Wien, Austria
Current address: National Laboratory of Oncology in South China, Cancer Center, Sun Yat-Sen University, Guangzhou, China
Conceived and designed the experiments: ML HL. Performed the experiments: ML XC RG LS. Analyzed the data: ML XC DF GH YL YS HL. Contributed reagents/materials/analysis tools: DF AB MAA DMG GH HYW IVT. Wrote the paper: ML DF YL HL.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0005236