Jianping Hua, D. Craig, M. Brun, J. Webster, V. Zismann, K. Joshipura, M. Huentelman, E. Dougherty, D. Stephan
{"title":"SNiPer 500K: A Novel SNP Genotype Calling Algorithm","authors":"Jianping Hua, D. Craig, M. Brun, J. Webster, V. Zismann, K. Joshipura, M. Huentelman, E. Dougherty, D. Stephan","doi":"10.1109/LSSA.2006.250407","DOIUrl":null,"url":null,"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","PeriodicalId":360097,"journal":{"name":"2006 IEEE/NLM Life Science Systems and Applications Workshop","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE/NLM Life Science Systems and Applications Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LSSA.2006.250407","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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