The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
F-SNP: computationally predicted functional SNPs for disease association studies
Open accessAbstract
The Functional Single Nucleotide Polymorphism (F-SNP) database integrates information obtained from 16 bioinformatics tools and databases about the functional effects of SNPs. These effects are predicted and indicated at the splicing, transcriptional, translational and post-translational level. As such, the database helps identify and focus on SNPs with potential deleterious effect to human health. In particular, users can retrieve SNPs that disrupt genomic regions known to be functional, including splice sites and transcriptional regulatory regions. Users can also identify non-synonymous SNPs that may have deleterious effects on protein structure or function, interfere with protein translation or impede post-translational modification. A web interface enables easy navigation for obtaining information through multiple starting points and exploration routes (e.g. starting from SNP identifier, genomic region, gene or target disease). The F-SNP database is available at http://compbio.cs.queensu.ca/F-SNP/.
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The International HapMap Project
†The International HapMap Consortium, Genotyping centres: Baylor College of Medicine and ParAllele BioScience, Gibbs, R. A., Belmont, J. W., Hardenbol, P., Willis, T. D., Yu, F., Chinese HapMap Consortium, Yang, H., Ch'ang, L.-Y., et al. (2003) · Nature · doi:10.1038/nature02168 · Cited by 6,057
Cited by
How far from the SNP may the causative genes be?
Brodie, A., Azaria, J. R., & Ofran, Y. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw500 · Cited by 172
Towards precision medicine: advances in computational approaches for the analysis of human variants
Peterson, T. A., Doughty, E., & Kann, M. G. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.08.008 · Cited by 123
Hartikainen, J. M., Tengström, M., Kosma, V.-M., Kinnula, V. L., Mannermaa, A., & Soini, Y. (2012) · Cancer Research · doi:10.1158/0008-5472.can-12-1474 · Cited by 89
Joint analysis of SNP and gene expression data in genetic association studies of complex diseases
Huang, Y.-T., VanderWeele, T. J., & Lin, X. (2014) · The Annals of Applied Statistics · doi:10.1214/13-aoas690 · Cited by 88
Reynolds, C. A., Hong, M.-G., Eriksson, U. K., Blennow, K., Wiklund, F., Johansson, B., Malmberg, B., Berg, S., Alexeyenko, A., Grönberg, H., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq079 · Cited by 57
Metadata
- Authors
- Lee, P. H., & Shatkay, H.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-23
- Volume
- 36
- Issue
- Database
- Pages
- D820-D824
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2169823080
- Cited by
- 327
- References
- 1
- FWCI
- 6.03
- Type
- journal article
- Language
- en
- Open access
- gold
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