[HTML][HTML] Identifying patients and assessing variant pathogenicity for an autosomal dominant disease-driving gene

W Lee, N de Prisco, VA Gennarino - STAR protocols, 2022 - Elsevier
STAR protocols, 2022Elsevier
Identifying a disease gene and determining its causality in patients can be challenging.
Here, we present an approach to predicting the pathogenicity of deletions and missense
variants for an autosomal dominant gene. We provide online resources for identifying
patients and determining constraint metrics to isolate the causal gene among several
candidates encompassed in a shared region of deletion. We also provide instructions for
optimizing functional annotation programs that may be otherwise inaccessible to a …
Summary
Identifying a disease gene and determining its causality in patients can be challenging. Here, we present an approach to predicting the pathogenicity of deletions and missense variants for an autosomal dominant gene. We provide online resources for identifying patients and determining constraint metrics to isolate the causal gene among several candidates encompassed in a shared region of deletion. We also provide instructions for optimizing functional annotation programs that may be otherwise inaccessible to a nonexpert or novice in computational approaches.
For complete details on the use and execution of this protocol, please refer to Gennarino et al. (2018).
Elsevier