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This article is part of the supplement: Proceedings of the European Conference on Computational Biology (ECCB) 2010 Workshop: Annotation, interpretation and management of mutations (AIMM)

Open Access Research

Genome-wide prediction of splice-modifying SNPs in human genes using a new analysis pipeline called AASsites

Kirsten Faber1, Karl-Heinz Glatting1, Phillip J Mueller2, Angela Risch2 and Agnes Hotz-Wagenblatt1*

Author Affiliations

1 Bioinformatics (HUSAR), Core Facility Genomics and Proteomics, German Cancer Research Center, D-69120 Heidelberg, Germany

2 Division of Epigenomics and Cancer Risk Factors, German Cancer Research Center, D-69120 Heidelberg, Germany

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BMC Bioinformatics 2011, 12(Suppl 4):S2  doi:10.1186/1471-2105-12-S4-S2

Published: 5 July 2011

Abstract

Background

Some single nucleotide polymorphisms (SNPs) are known to modify the risk of developing certain diseases or the reaction to drugs. Due to next generation sequencing methods the number of known human SNPs has grown. Not all SNPs lead to a modified protein, which may be the origin of a disease. Therefore, the recognition of functional SNPs is needed. Because most SNP annotation tools look for SNPs which lead to an amino acid exchange or a premature stop, we designed a new tool called AASsites which searches for SNPs which modify splicing.

Results

AASsites uses several gene prediction programs and open reading frame prediction to compare the wild type (wt) and the variant gene sequence. The results of the comparison are combined by a handmade rule system to classify a change in splicing as “likely, probable, unlikely”. Having received good results from tests with SNPs known for changing the splicing pattern we checked 80,000 SNPs from the human genome which are located near splice sites for their ability to change the splicing pattern of the gene and hereby result in a different protein. We identified 301 “likely” and 985 “probable” classified SNPs with such characteristics. Within this set 33 SNPs are described in the ssSNP Target database to cause modified splicing.

Conclusions

With AASsites single SNPs can be checked for those causing splice modifications. Screening 80,000 known human SNPs we detected about 1,200 SNPs which probably modify splicing. AASsites is available at http://genius.embnet.dkfz-heidelberg.de/menu/biounit/open-husar webcite using any web browser.