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

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

Summary: 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,...

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Bibliographic Details
Main Authors: Lorenzo Bonaguro, Jonas Schulte-Schrepping, Caterina Carraro, Laura L. Sun, Benedikt Reiz, Ioanna Gemünd, Adem Saglam, Souad Rahmouni, Michel Georges, Peer Arts, Alexander Hoischen, Leo A.B. Joosten, Frank L. van de Veerdonk, Mihai G. Netea, Kristian Händler, Sach Mukherjee, Thomas Ulas, Joachim L. Schultze, Anna C. Aschenbrenner
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:iScience
Subjects:
Clinical genetics
Pathophysiology
Human genetics
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222016005

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http://www.sciencedirect.com/science/article/pii/S2589004222016005

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