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This study found that using curated biomedical databases as training examples for information extraction tasks in Genome-Wide Association Studies can outperform cost-insensitive methods, demonstrating their potential use without expert annotation.

This study identified a set of tumour-suppressive microRNAs (miRNAs), termed 'normomiRs', that are highly expressed in normal tissues but low in tumors, with miR-206 and miR-381 showing significant in vitro cancer inhibition, highlighting their potential for miRNA-replacement therapies across multiple cancer types.

This article discusses the MendelVar webserver, which integrates Mendelian disease data with GWAS findings to prioritize candidate genes for complex traits and reports no new experimental results.

In this study, researchers explored drug repurposing as a potential strategy for treating psoriasis and identified Pioglitazone, Trimipramine, and Dimetindene as promising candidates for this indication, based on molecular docking and predictive algorithms.

This study applied semantic text-mining to identify phenotypes linked to over 6,000 diseases, demonstrating that these phenotypes can accurately identify known disease-associated genes, creating a human disease network based on phenotypic similarity.