graph-GPA 2.0: improving multi-disease genetic analysis with integration of functional annotation data

Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to fully understand the functional mechanisms underlying many associated variants. This is especially the case when we are...

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Detalles Bibliográficos
Autores principales: Deng, Qiaolan, Gupta, Arkobrato, Jeon, Hyeongseon, Nam, Jin Hyun, Yilmaz, Ayse Selen, Chang, Won, Pietrzak, Maciej, Li, Lang, Kim, Hang J., Chung, Dongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370274/
https://www.ncbi.nlm.nih.gov/pubmed/37501720
http://dx.doi.org/10.3389/fgene.2023.1079198

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370274/
https://www.ncbi.nlm.nih.gov/pubmed/37501720
http://dx.doi.org/10.3389/fgene.2023.1079198

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