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,...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	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
التنسيق:	مقال
اللغة:	English
منشور في:	Elsevier 2022-11-01
سلاسل:	iScience
الموضوعات:	Clinical genetics Pathophysiology Human genetics
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2589004222016005

الانترنت

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

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

الانترنت

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