A computational tool (H-MAGMA) for improved prediction of brain disorder risk genes by incorporating brain chromatin interaction profiles

Most risk variants for brain disorders identified by genome-wide association studies (GWAS) reside in non-coding genome, which makes deciphering biological mechanisms difficult. A commonly used tool, MAGMA, addresses this issue by aggregating SNP associations to nearest genes. Here, we developed a p...

Descripción completa

Detalles Bibliográficos
Autores principales: Sey, Nancy Y. A, Hu, Benxia, Mah, Won, Fauni, Harper, McAfee, Jessica Caitlin, Rajarajan, Prashanth, Brennand, Kristen J, Akbarian, Schahram, Won, Hyejung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7131892/
https://www.ncbi.nlm.nih.gov/pubmed/32152537
http://dx.doi.org/10.1038/s41593-020-0603-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7131892/
https://www.ncbi.nlm.nih.gov/pubmed/32152537
http://dx.doi.org/10.1038/s41593-020-0603-0

Ejemplares similares