Cascading epigenomic analysis for identifying disease genes from the regulatory landscape of GWAS variants

The majority of genetic variants detected in genome wide association studies (GWAS) exert their effects on phenotypes through gene regulation. Motivated by this observation, we propose a multi-omic integration method that models the cascading effects of genetic variants from epigenome to transcripto...

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Detalles Bibliográficos
Autores principales: Ng, Bernard, Casazza, William, Kim, Nam Hee, Wang, Chendi, Farhadi, Farnush, Tasaki, Shinya, Bennett, David A., De Jager, Philip L., Gaiteri, Christopher, Mostafavi, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648125/
https://www.ncbi.nlm.nih.gov/pubmed/34807913
http://dx.doi.org/10.1371/journal.pgen.1009918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648125/
https://www.ncbi.nlm.nih.gov/pubmed/34807913
http://dx.doi.org/10.1371/journal.pgen.1009918

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