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
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