Back to search

Article

Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

2020-03-29

Abstract excerpt

<h4>Background</h4> Accurate discrimination of benign and pathogenic rare variation remains a priority for clinical genome interpretation. State-of-the-art machine learning tools are useful for genome-wide variant prioritisation but remain imprecise. Since the relationship between molecular consequence and likelihood of pathogenicity varies between genes with distinct molecular mechanisms, we hypothesised that a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7fc8bb42-a486-5627-90f1-741774657e8d
DOI
10.1101/2020.03.27.010736
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditionsDOI 10.1101/2020.03.27.010736
Select a neighboring publication to make it the new centre.