Genetic Structures of Copy Number Variants Revealed by Genotyping Single Sperm

Minjie Luo, Xiangfeng Cui, David Fredman, Anthony J. Brookes, Marco A. Azaro, Danielle M. Greenawalt, Guohong Hu, Hui Yun Wang, Irina V. Tereshchenko, Yong Lin, Yue Shentu, Richeng Gao, Li Shen, Honghua Li

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Background: 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. Methodology/Principal Findings: 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. Conclusions/Significance: 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.

Original languageEnglish (US)
Article numbere0005236
JournalPloS one
Volume4
Issue number4
DOIs
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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