DocumentCode :
2720012
Title :
SNiPer 500K: A Novel SNP Genotype Calling Algorithm
Author :
Hua, Jianping ; Craig, David W. ; Brun, Marcel ; Webster, Jennifer ; Zismann, Victoria ; Joshipura, Keta ; Huentelman, Matthew ; Dougherty, Edward R. ; Stephan, Dietrich A.
Author_Institution :
Translational Genomics Res. Inst., Phoenix, AZ
fYear :
2006
fDate :
38899
Firstpage :
1
Lastpage :
2
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
Keywords :
association; biochemistry; biology computing; expectation-maximisation algorithm; genetics; molecular biophysics; polymorphism; Affymetrix 500K GeneChip; Hardy-Weinberg equilibrium; SNP genotype calling algorithm; SNiPer 500K; association; expectation-maximization algorithm; genome; high-throughput single nucleotide polymorphism genotyping technology; parameter estimation; parametric classifier; Algorithm design and analysis; Bioinformatics; Covariance matrix; Expectation-maximization algorithms; Gaussian distribution; Genomics; Parameter estimation; Probes; Reproducibility of results; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Life Science Systems and Applications Workshop, 2006. IEEE/NLM
Conference_Location :
Bethesda, MD
Print_ISBN :
1-4244-0277-8
Electronic_ISBN :
1-4244-0278-6
Type :
conf
DOI :
10.1109/LSSA.2006.250407
Filename :
4015808
Link To Document :
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