A unifying framework for joint trait analysis under a non-infinitesimal model

MOTIVATION: A large proportion of risk regions identified by genome-wide association studies (GWAS) are shared across multiple diseases and traits. Understanding whether this clustering is due to sharing of causal variants or chance colocalization can provide insights into shared etiology of complex...

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Detalles Bibliográficos
Autores principales: Johnson, Ruth, Shi, Huwenbo, Pasaniuc, Bogdan, Sankararaman, Sriram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Ismb 2018–Intelligent Systems for Molecular Biology Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022541/
https://www.ncbi.nlm.nih.gov/pubmed/29949958
http://dx.doi.org/10.1093/bioinformatics/bty254

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022541/
https://www.ncbi.nlm.nih.gov/pubmed/29949958
http://dx.doi.org/10.1093/bioinformatics/bty254

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