Variomes
Introduction
Precision oncology relies on the use of treatments targeting specific genetic variants. However, identifying clinically actionable variants as well as relevant information likely to be used to treat a patient with a given cancer is a labor-intensive task, which includes searching the literature for a large set of variants. The lack of universally adopted standard nomenclature for variants requires the development of variant-specific literature search engines. We develop a system to perform triage of publications relevant to support an evidence-based decision. Together with providing a ranked list of articles for a given variant, the system is also able to prioritize variants, as found in a Variant Calling Format, assuming that the clinical actionability of a genetic variant is correlated with the volume of literature published about the variant. Our system 1 searches within four pre-annotated document collections: MEDLINE abstracts, PubMed Central full-text articles, supplementary materials associated with publications, and ClinicalTrials.gov clinical trials. A variant synonym generator is used to increase the comprehensiveness of the set of retrieved documents. We then apply different strategies to rank the publications.
API
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Emilie Pasche, Anaïs Mottaz, Déborah Caucheteur, Julien Gobeill, Pierre-André Michel, and Patrick Ruch. Variomes: a high recall search engine to support the curation of genomic variants. bioRxiv: the preprint server for biology, 2021. doi:10.1101/2021.05.29.446224. ↩