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...

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Detaylı Bibliyografya
Yayımlandı:Nat Neurosci
Asıl Yazarlar: Sey, Nancy Y. A, Hu, Benxia, Mah, Won, Fauni, Harper, McAfee, Jessica Caitlin, Rajarajan, Prashanth, Brennand, Kristen J, Akbarian, Schahram, Won, Hyejung
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7131892/
https://ncbi.nlm.nih.gov/pubmed/32152537
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41593-020-0603-0
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