SNP-Converter: an ontology-based solution to reconcile heterogeneous SNP descriptions for pharmacogenomic studies

Authors:
Adrien Coulet;Malika Smaïl-Tabbone;Pascale Benlian;Amedeo Napoli;Marie-Dominique Devignes
Affiliations:
KIKA Medical, Paris, France;LORIA (UMR 7503 CNRS-INPL-INRIA-Nancy2-UHP, Campus scientifique), Vandoeuvre-lès-Nancy, France;INSERM UMRS 538, Biochimie – Biologie, Moléculaire, Université Pierre et Marie Curie – Paris6, Paris, France;LORIA (UMR 7503 CNRS-INPL-INRIA-Nancy2-UHP, Campus scientifique), Vandoeuvre-lès-Nancy, France;LORIA (UMR 7503 CNRS-INPL-INRIA-Nancy2-UHP, Campus scientifique), Vandoeuvre-lès-Nancy, France
Venue:
DILS'06 Proceedings of the Third international conference on Data Integration in the Life Sciences
Year:
2006

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Abstract

Pharmacogenomics explores the impact of individual genomic variations in health problems such as adverse drug reactions. Records of millions of genomic variations, mostly known as Single Nucleotide Polymorphisms (SNP), are available today in various overlapping and heterogeneous databases. Selecting and extracting from these databases or from private sources a proper set of polymorphisms are the first steps of a KDD (Knowledge Discovery in Databases) process in pharmacogenomics. It is however a tedious task hampered by the heterogeneity of SNP nomenclatures and annotations. Standards for representing genomic variants have been proposed by the Human Genome Variation Society (HGVS). The SNP-Converter application is aimed at converting any SNP description into an HGVS-compliant pivot description and vice versa. Used in the frame of a knowledge system, the SNP-Converter application contributes as a wrapper to semantic data integration and enrichment.