Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome

Identification of gene expression changes between healthy and diseased individuals can reveal mechanistic insights and biomarkers. Here, the authors propose a bi-directional transcriptome-wide Mendelian Randomization approach to assess causal effects between gene expression and complex traits.

Bibliographic Details
Main Authors: Eleonora Porcu, Marie C. Sadler, Kaido Lepik, Chiara Auwerx, Andrew R. Wood, Antoine Weihs, Maroun S. Bou Sleiman, Diogo M. Ribeiro, Stefania Bandinelli, Toshiko Tanaka, Matthias Nauck, Uwe Völker, Olivier Delaneau, Andres Metspalu, Alexander Teumer, Timothy Frayling, Federico A. Santoni, Alexandre Reymond, Zoltán Kutalik
Format: Article
Language:English
Published: Nature Portfolio 2021-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-25805-y
Description
Summary:Identification of gene expression changes between healthy and diseased individuals can reveal mechanistic insights and biomarkers. Here, the authors propose a bi-directional transcriptome-wide Mendelian Randomization approach to assess causal effects between gene expression and complex traits.
ISSN:2041-1723