MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer

Human bulk tissue samples comprise multiple cell types with diverse roles in disease etiology. Conventional transcriptome-wide association study approaches predict genetically regulated gene expression at the tissue level, without considering cell-type heterogeneity, and test associations of predict...

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Detalles Bibliográficos
Autores principales: Song, Xiaoyu, Ji, Jiayi, Rothstein, Joseph H., Alexeeff, Stacey E., Sakoda, Lori C., Sistig, Adriana, Achacoso, Ninah, Jorgenson, Eric, Whittemore, Alice S., Klein, Robert J., Habel, Laurel A., Wang, Pei, Sieh, Weiva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871010/
https://www.ncbi.nlm.nih.gov/pubmed/36690614
http://dx.doi.org/10.1038/s41467-023-35888-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9871010/
https://www.ncbi.nlm.nih.gov/pubmed/36690614
http://dx.doi.org/10.1038/s41467-023-35888-4

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