Human variation in population-wide gene expression data predicts gene perturbation phenotype

Population-scale datasets of healthy individuals capture genetic and environmental factors influencing gene expression. The expression variance of a gene of interest (GOI) can be exploited to set up a quasi loss- or gain-of-function “in population” experiment. We describe here an approach, huva (hum...

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Detalles Bibliográficos
Autores principales: Bonaguro, Lorenzo, Schulte-Schrepping, Jonas, Carraro, Caterina, Sun, Laura L., Reiz, Benedikt, Gemünd, Ioanna, Saglam, Adem, Rahmouni, Souad, Georges, Michel, Arts, Peer, Hoischen, Alexander, Joosten, Leo A.B., van de Veerdonk, Frank L., Netea, Mihai G., Händler, Kristian, Mukherjee, Sach, Ulas, Thomas, Schultze, Joachim L., Aschenbrenner, Anna C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614568/
https://www.ncbi.nlm.nih.gov/pubmed/36310583
http://dx.doi.org/10.1016/j.isci.2022.105328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614568/
https://www.ncbi.nlm.nih.gov/pubmed/36310583
http://dx.doi.org/10.1016/j.isci.2022.105328

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