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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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