SVelfie: A method for discovering cancer drivers based on enrichment of likely functional structural variants

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Abstract

Structural variants (SVs) can drive tumorigenesis, yet discovering SV cancer drivers remains challenging 1 . Here, we present SVelfie ( S tructural V ariants e nriched with l ikely f unctional/ i mpactful e vents), a statistical method to infer driver genes from SVs detected across a cohort of cancer genomes, based on enrichment of likely functional events. When testing SVelfie on lymphoma samples from the Pan-Cancer Analysis of Whole Genomes (PCAWG) 2 , it corroborates known tumor suppressor genes and also yields novel driver candidates.

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