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Text based methods for variant prioritization

University of British Columbia

Despite improvements in sequencing technologies, DNA sequence variant interpretation for rare genetic diseases remains challenging. In a typical workflow for the Treatable Intellectual Disability Endeavor in B.C. (TIDE BC), a geneticist examines variant calls to establish a set of candidate variants that explain a patient's phenotype. Even with a sophisticated computation pipeline for variant prioritization, they may need to consider hundreds of variants. This typically involves literature searches on individual variants to determine how well they explain the reported phenotype, which is a time consuming process. In this work, text analysis based variant prioritization methods are developed and assessed for the capacity to distinguish causal variants within exome analysis results for a reference set of individuals with metabolic disorders.

Text

2017-01-21

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/60358

Bioinformatics

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/