SNiPer 500K: A Novel SNP Genotype Calling Algorithm

Jianping Hua, D. Craig, M. Brun, J. Webster, V. Zismann, K. Joshipura, M. Huentelman, E. Dougherty, D. Stephan
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引用次数: 0

Abstract

The fast development in high-throughput single nucleotide polymorphism (SNP) genotyping technology provides unprecedented power for genome-wide SNP association studies. However, inaccurate genotyping can lead to false association between markers and phenotype. We introduce a new SNP genotyping scheme, SNiPer 500K, for Affymetrix 500K GeneChip. SNiPer 500K designs a parametric classifier for each SNP, by using expectation-maximization algorithm to estimate the parameters. A quality index provided by SNiPer 500K shows that it can reliably genotype about 65% of all SNPs, with superior call rate, better Hardy-Weinberg equilibrium and reproducibility. SNiPer 500K provides a good balance between coverage and accuracy for high-throughput SNP genotyping and would prove to be an invaluable tool for genome-wide association study
SNiPer 500K:一种新的SNP基因型调用算法
高通量单核苷酸多态性(SNP)基因分型技术的快速发展为全基因组SNP关联研究提供了前所未有的动力。然而,不准确的基因分型可能导致标记和表型之间的错误关联。我们介绍了一种新的SNP基因分型方案,SNiPer 500K,用于Affymetrix 500K基因芯片。SNiPer 500K为每个SNP设计了一个参数分类器,使用期望最大化算法对参数进行估计。SNiPer 500K提供的质量指标表明,它可以可靠地分型约65%的snp,具有优越的召唤率,良好的Hardy-Weinberg平衡和再现性。SNiPer 500K在高通量SNP基因分型的覆盖率和准确性之间提供了良好的平衡,将被证明是全基因组关联研究的宝贵工具
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