title: SNPs: At the origins of the databases of an innovative biotechnology tool.
abstract: The discovery that DNA sequence variations can influence the response of an individual to a drug or can predict the outcome of a disease has added a new dimension to evidence-based medicine. It is clear that the goals, risks, and benefits of drug therapy can be better assessed if the underlying genome of the patient is known. The relevance of identifying patients at increased risk of adverse drug reactions, the application of genomic technologies to drug development and the clarification of the mechanisms of drug action on cells will be important targets in the therapeutic approach to medicine in the 21st century. In this review, we summarize the development of single nucleotide polymorphisms (SNPs) and give computational biological data for SNPs databases.
authors.affiliation: Clinical Science at South Bristol, Bristol Royal Infirmary, University of Bristol, United Kingdom.
authors.forename: Anthony
authors.initials: A
authors.lastname: Corfield
authors.forename: Peter
authors.initials: P
authors.lastname: Meyer
authors.forename: Shelina
authors.initials: S
authors.lastname: Kassam
authors.forename: Gregor
authors.initials: G
authors.lastname: Mikuz
authors.forename: Consolato
authors.initials: C
authors.lastname: Sergi
mesh_terms: D001709:Biotechnology / Q000379:methods* / Q000639:trends; D019295:Computational Biology / Q000379:methods* / Q000706:statistics & numerical data; D030541:Databases, Genetic; D010597:Pharmacogenetics / Q000379:methods* / Q000639:trends; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*