DocumentCode :
1934217
Title :
On Design of Oligonucleotide SNP Arrays and Methods for Genotype Calling
Author :
Fu, Wenjiang J. ; Li, Ming ; Wan, Lin ; Deng, Minghua ; Qian, Minping
Author_Institution :
Dept. of Epidemiology, Michigan State Univ., East Lansing, MI
Volume :
1
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
453
Lastpage :
458
Abstract :
The fast development of array technology has raised the density of oligonucleotide SNP arrays from 10 K and 50 K to 100 K and 500 K. However, methods for SNP genotyping have not been developed as fast. Most methods are based on sample-dependent multi-array training and may not be suitable for cross-laboratory studies and small sample studies, few use full information of array technology efficiently. It has been suggested that mismatch probes are of no use in genotyping and thus should be removed, and that multiple probes are redundant and should be reduced. We study the effect of reduced probes on genotype calling and conclude that reduction of probes in SNP interrogation substantially increases genotyping error. Furthermore, elimination of mismatch probes increases error rate by 50 folds. Thus caution should be used in SNP array design. Array design with fewer probes for more SNPs in single array may sacrifice genotyping quality.
Keywords :
cellular biophysics; genetics; molecular biophysics; statistical analysis; SNP interrogation; genotype calling; mismatch probes; oligonucleotide SNP array design; sample-dependent multiarray training; Bioinformatics; Biomedical engineering; Biomedical informatics; Error analysis; Genomics; Laboratories; Mathematics; Probes; Redundancy; Robustness; Array design; genotyping error; mismatch; probes; redundancy; robust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
BioMedical Engineering and Informatics, 2008. BMEI 2008. International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-0-7695-3118-2
Type :
conf
DOI :
10.1109/BMEI.2008.197
Filename :
4548710
Link To Document :
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