• 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