Article |
FASTSNP: an always up-to-date and extendable service for SNP function analysis and prioritization
1 Institute of Biomedical Sciences, Academia Sinica Taipei, Taiwan 2 Institute of Information Science, Academia Sinica Taipei, Taiwan 3 National Genotyping Center, Academia Sinica Taipei, Taiwan
*To whom correspondence should be addressed. Tel: +886 2 27883799x1801; Fax: +886 2 27824814; Email: chunnan{at}iis.sinica.edu.tw
Received February 15, 2006. Revised March 8, 2006. Accepted March 28, 2006.
Single nucleotide polymorphism (SNP) prioritization based on the phenotypic risk is essential for association studies. Assessment of the risk requires access to a variety of heterogeneous biological databases and analytical tools. FASTSNP (function analysis and selection tool for single nucleotide polymorphisms) is a web server that allows users to efficiently identify and prioritize high-risk SNPs according to their phenotypic risks and putative functional effects. A unique feature of FASTSNP is that the functional effect information used for SNP prioritization is always up-to-date, because FASTSNP extracts the information from 11 external web servers at query time using a team of web wrapper agents. Moreover, FASTSNP is extendable by simply deploying more Web wrapper agents. To validate the results of our prioritization, we analyzed 1569 SNPs from the SNP500Cancer database. The results show that SNPs with a high predicted risk exhibit low allele frequencies for the minor alleles, consistent with a well-known finding that a strong selective pressure exists for functional polymorphisms. We have been using FASTSNP for 2 years and FASTSNP enables us to discover a novel promoter polymorphism. FASTSNP is available at http://fastsnp.ibms.sinica.edu.tw.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
Z. Xu and J. A. Taylor SNPinfo: integrating GWAS and candidate gene information into functional SNP selection for genetic association studies Nucleic Acids Res., July 1, 2009; 37(suppl_2): W600 - W605. [Abstract] [Full Text] [PDF] |
||||
![]() |
S.-F. Lei, L.-J. Tan, X.-G. Liu, L. Wang, H. Yan, Y.-F. Guo, Y.-Z. Liu, D.-H. Xiong, J. Li, T.-L. Yang, et al. Genome-wide association study identifies two novel loci containing FLNB and SBF2 genes underlying stature variation Hum. Mol. Genet., May 1, 2009; 18(9): 1661 - 1669. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. A. Ikram, S. Seshadri, J. C. Bis, M. Fornage, A. L. DeStefano, Y. S. Aulchenko, S. Debette, T. Lumley, A. R. Folsom, E. G. van den Herik, et al. Genomewide Association Studies of Stroke N. Engl. J. Med., April 23, 2009; 360(17): 1718 - 1728. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. H. Lee and H. Shatkay An integrative scoring system for ranking SNPs by their potential deleterious effects Bioinformatics, April 15, 2009; 25(8): 1048 - 1055. [Abstract] [Full Text] [PDF] |
||||
![]() |
R. Karchin Next generation tools for the annotation of human SNPs Brief Bioinform, January 1, 2009; 10(1): 35 - 52. [Abstract] [Full Text] [PDF] |
||||
![]() |
S Moller-Larsen, M Nyegaard, A Haagerup, J Vestbo, T A Kruse, and A D Borglum Association analysis identifies TLR7 and TLR8 as novel risk genes in asthma and related disorders Thorax, December 1, 2008; 63(12): 1064 - 1069. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. F. Saccone, N. L. Saccone, G. E. Swan, P. A. F. Madden, A. M. Goate, J. P. Rice, and L. J. Bierut Systematic biological prioritization after a genome-wide association study: an application to nicotine dependence Bioinformatics, August 15, 2008; 24(16): 1805 - 1811. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y.-C. Chang, P.-H. Liu, W.-J. Lee, T.-J. Chang, Y.-D. Jiang, H.-Y. Li, S.-S. Kuo, K.-C. Lee, and L.-M. Chuang Common Variation in the Fat Mass and Obesity-Associated (FTO) Gene Confers Risk of Obesity and Modulates BMI in the Chinese Population Diabetes, August 1, 2008; 57(8): 2245 - 2252. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y.-J. Liu, X.-G. Liu, L. Wang, C. Dina, H. Yan, J.-F. Liu, S. Levy, C. J. Papasian, B. M. Drees, J. J. Hamilton, et al. Genome-wide association scans identified CTNNBL1 as a novel gene for obesity Hum. Mol. Genet., June 15, 2008; 17(12): 1803 - 1813. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Love-Gregory, R. Sherva, L. Sun, J. Wasson, T. Schappe, A. Doria, D.C. Rao, S. C. Hunt, S. Klein, R. J. Neuman, et al. Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol Hum. Mol. Genet., June 1, 2008; 17(11): 1695 - 1704. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. A. Sellers, Y. Huang, J. Cunningham, E. L. Goode, R. Sutphen, R. A. Vierkant, L. E. Kelemen, Z. S. Fredericksen, M. Liebow, V. S. Pankratz, et al. Association of Single Nucleotide Polymorphisms in Glycosylation Genes with Risk of Epithelial Ovarian Cancer Cancer Epidemiol. Biomarkers Prev., February 1, 2008; 17(2): 397 - 404. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. J. Hayden, P. Tewari, D. W. Morris, A. Staines, D. Crowley, A. Nieters, N. Becker, S. de Sanjose, L. Foretova, M. Maynadie, et al. Variation in DNA repair genes XRCC3, XRCC4, XRCC5 and susceptibility to myeloma Hum. Mol. Genet., December 15, 2007; 16(24): 3117 - 3127. [Abstract] [Full Text] [PDF] |
||||







