An Evidence-Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicine.

Clinical annotations are one of the most popular resources available on the Pharmacogenomics Knowledgebase (PharmGKB). Each clinical annotation summarizes the association between variant-drug pairs, shows relevant findings from the curated literature, and is assigned a level of evidence (LOE) to indicate the strength of support for that association. Evidence from the pharmacogenomic literature is curated into PharmGKB as variant annotations, which can be used to create new clinical annotations or added to existing clinical annotations.

Essential Characteristics of Pharmacogenomics Study Publications.

Pharmacogenomics (PGx) can be seen as a model for biomedical studies: it includes all disease areas of interest and spans in vitro studies to clinical trials, while focusing on the relationships between genes and drugs and the resulting phenotypes. This review will examine different characteristics of PGx study publications and provide examples of excellence in framing PGx questions and reporting their resulting data in a way that maximizes the knowledge that can be built on them.

PharmGKB summary: very important pharmacogene information for GSTT1.

This PharmGKB summary briefly discusses the very important pharmacogene and its variants that can influence drug responses. A fully interactive version of this short review, with links to individual paper annotations and population descriptions can be found at http://www.pharmgkb.

Using ODIN for a PharmGKB revalidation experiment.

The need for efficient text-mining tools that support curation of the biomedical literature is ever increasing. In this article, we describe an experiment aimed at verifying whether a text-mining tool capable of extracting meaningful relationships among domain entities can be successfully integrated into the curation workflow of a major biological database. We evaluate in particular (i) the usability of the system's interface, as perceived by users, and (ii) the correlation of the ranking of interactions, as provided by the text-mining system, with the choices of the curators.

PharmGKB summary: very important pharmacogene information for cytochrome P450, family 2, subfamily C, polypeptide 19.

This PharmGKB summary briefly discusses the gene and current understanding of its function, regulation, and pharmacogenomic relevance.