TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8

Standard transcriptome-wide association study (TWAS) methods first train gene expression prediction models using reference transcriptomic data and then test the association between the predicted genetically regulated gene expression and phenotype of interest. Most existing TWAS tools require cumbers...

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Detalles Bibliográficos
Autores principales: Parrish, Randy L., Gibson, Greg C., Epstein, Michael P., Yang, Jingjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756507/
https://www.ncbi.nlm.nih.gov/pubmed/35047855
http://dx.doi.org/10.1016/j.xhgg.2021.100068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756507/
https://www.ncbi.nlm.nih.gov/pubmed/35047855
http://dx.doi.org/10.1016/j.xhgg.2021.100068

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