• DocumentCode
    3228225
  • Title

    Definition and analysis of SNP-free regions of current genome wide association study databases

  • Author

    Qiu, Rang ; Wu, Min ; Liu, Chunyu ; Jiang, Hang ; Fu, Lingyun

  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    1018
  • Lastpage
    1022
  • Abstract
    Single Nucleotide Polymorphism (SNP) is the important part in genome wide association study (GWAS). We investigated the SNPs that are not genotyped directly or indirectly by the current GWAS, and genomic regions associated with these unassayed SNPs. Through analysis of Hap Map CEU (European Caucasian), CHB (Han Chinese), JPT (Japanese) and YRI (Yoruba African) data, we identified the NGS SNP-free regions and the NGS common SNP-free regions (minor allele frequency (MAF) > = 0.05), We also calculated the number and the size of the NGS SNP-free regions and the NGS common SNP-free regions, where they have been reported so far, in different populations. In the analysis of NGS SNP-free regions and NGS common SNP-free regions, we found they have the character of independence. The distributions of the NGS SNP-free regions and NGS common SNP-free regions have the character of imbalance. The GW AS genotyping platforms could be further upgraded to include more SNPs to ensure true whole genome coverage.
  • Keywords
    biology computing; genomics; CHB; HapMap CEU; JPT; NGS common SNP-free regions; YRI; genome wide association study databases; single nucleotide polymorphism; Bioinformatics; Biological cells; Diseases; Economic indicators; Europe; Genomics; Humans; GWAS; SNP; SNP-free regions; common SNP-free regions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645123
  • Filename
    5645123