Back to search

Article

Data-driven modelling of mutational hotspots and <i>in-silico</i> predictors in hypertrophic cardiomyopathy

2019-10-31

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Although rare-missense variants in Mendelian disease-genes have been noted to cluster in specific regions of proteins, it is not clear how to consider this information when evaluating the pathogenicity of a gene or variant. Here we introduce methods for gene-association and variant-interpretation that utilise this powerful signal. <h4>Methods</h4> We present a case-control...

Topics

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

Identifiers and source

Literature Corpus work
3715f8f4-c6f9-5200-a964-a3a333927d90
DOI
10.1101/826164
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.
Data-driven modelling of mutational hotspots and <i>in-silico</i> predictors in hypertrophic cardiomyopathyDOI 10.1101/826164
Select a neighboring publication to make it the new centre.