LS-SNP: large-scale annotation of coding non-synonymous SNPs based on multiple information sources

Motivation: The NCBI dbSNP database lists over 9 million single nucleotide polymorphisms (SNPs) in the human genome, but currently contains limited annotation information. SNPs that result in amino acid residue changes (nsSNPs) are of critical importance in variation between individuals, including d...

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Bibliographic Details
Published inBioinformatics Vol. 21; no. 12; pp. 2814 - 2820
Main Authors Karchin, Rachel, Diekhans, Mark, Kelly, Libusha, Thomas, Daryl J., Pieper, Ursula, Eswar, Narayanan, Haussler, David, Sali, Andrej
Format Journal Article
LanguageEnglish
Published England Oxford University Press 15.06.2005
Oxford Publishing Limited (England)
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Summary:Motivation: The NCBI dbSNP database lists over 9 million single nucleotide polymorphisms (SNPs) in the human genome, but currently contains limited annotation information. SNPs that result in amino acid residue changes (nsSNPs) are of critical importance in variation between individuals, including disease and drug sensitivity. Results: We have developed LS-SNP, a genomic scale software pipeline to annotate nsSNPs. LS-SNP comprehensively maps nsSNPs onto protein sequences, functional pathways and comparative protein structure models, and predicts positions where nsSNPs destabilize proteins, interfere with the formation of domain–domain interfaces, have an effect on protein–ligand binding or severely impact human health. It currently annotates 28 043 validated SNPs that produce amino acid residue substitutions in human proteins from the SwissProt/TrEMBL database. Annotations can be viewed via a web interface either in the context of a genomic region or by selecting sets of SNPs, genes, proteins or pathways. These results are useful for identifying candidate functional SNPs within a gene, haplotype or pathway and in probing molecular mechanisms responsible for functional impacts of nsSNPs. Availability: http://www.salilab.org/LS-SNP Contact: rachelk@salilab.org Supplementary information: http://salilab.org/LS-SNP/supp-info.pdf
Bibliography:ark:/67375/HXZ-M4SWPG64-D
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local:bti442
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ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/bti442