Cargando…
A Bayesian method to estimate variant-induced disease penetrance
A major challenge emerging in genomic medicine is how to assess best disease risk from rare or novel variants found in disease-related genes. The expanding volume of data generated by very large phenotyping efforts coupled to DNA sequence data presents an opportunity to reinterpret genetic liability...
Autores principales: | Kroncke, Brett M., Smith, Derek K., Zuo, Yi, Glazer, Andrew M., Roden, Dan M., Blume, Jeffrey D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347235/ https://www.ncbi.nlm.nih.gov/pubmed/32569262 http://dx.doi.org/10.1371/journal.pgen.1008862 |
Ejemplares similares
-
Protein structure aids predicting functional perturbation of missense variants in SCN5A and KCNQ1
por: Kroncke, Brett M., et al.
Publicado: (2019) -
Veratridine Can Bind to a Site at the Mouth of the Channel Pore at Human Cardiac Sodium Channel Na(V)1.5
por: Gulsevin, Alican, et al.
Publicado: (2022) -
An individualized Bayesian method for estimating genomic variants of hypertension
por: Rahman, Md Asad, et al.
Publicado: (2023) -
Documentation of an Imperative To Improve Methods
for Predicting Membrane Protein Stability
por: Kroncke, Brett M., et al.
Publicado: (2016) -
Bayesian approach to determining penetrance of pathogenic SDH variants
por: Benn, Diana E, et al.
Publicado: (2018)