Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis Models

Use este enlace para citar
http://hdl.handle.net/2183/25427
A non ser que se indique outra cousa, a licenza do ítem descríbese como Atribución 4.0 Internacional (CC BY 4.0)
Coleccións
- Investigación (FIC) [1679]
Metadatos
Mostrar o rexistro completo do ítemTítulo
Toxo: A Library for Calculating Penetrance Tables of High-Order Epistasis ModelsAutor(es)
Data
2020-04-09Cita bibliográfica
Ponte-Fernández, C., González-Domínguez, J., Carvajal-Rodríguez, A. et al. Toxo: a library for calculating penetrance tables of high-order epistasis models. BMC Bioinformatics 21, 138 (2020). Doi: 10.1186/s12859-020-3456-3
Resumo
[Abstract]
Background
Epistasis is defined as the interaction between different genes when expressing a specific phenotype. The most common way to characterize an epistatic relationship is using a penetrance table, which contains the probability of expressing the phenotype under study given a particular allele combination. Available simulators can only create penetrance tables for well-known epistasis models involving a small number of genes and under a large number of limitations.
Results
Toxo is a MATLAB library designed to calculate penetrance tables of epistasis models of any interaction order which resemble real data more closely. The user specifies the desired heritability (or prevalence) and the program maximizes the table’s prevalence (or heritability) according to the input epistatic model boundaries.
Conclusions
Toxo extends the capabilities of existing simulators that define epistasis using penetrance tables. These tables can be directly used as input for software simulators such as GAMETES so that they are able to generate data samples with larger interactions and more realistic prevalences/heritabilities.
Palabras chave
Simulation
Epistasis model
Gene interaction
Penetrance
Prevalence
Heritability
Epistasis model
Gene interaction
Penetrance
Prevalence
Heritability
Versión do editor
Dereitos
Atribución 4.0 Internacional (CC BY 4.0)
ISSN
1471-2105