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
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author 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
author_facet 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
author_sort Eleonora Porcu
collection DOAJ
description 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.
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spelling doaj.art-b6ea07fec9aa4a9aa84d8abbe352d3b12022-12-21T20:28:37ZengNature PortfolioNature Communications2041-17232021-09-011211910.1038/s41467-021-25805-yDifferentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptomeEleonora Porcu0Marie C. Sadler1Kaido Lepik2Chiara Auwerx3Andrew R. Wood4Antoine Weihs5Maroun S. Bou Sleiman6Diogo M. Ribeiro7Stefania Bandinelli8Toshiko Tanaka9Matthias Nauck10Uwe Völker11Olivier Delaneau12Andres Metspalu13Alexander Teumer14Timothy Frayling15Federico A. Santoni16Alexandre Reymond17Zoltán Kutalik18Center for Integrative Genomics, University of LausanneSwiss Institute of BioinformaticsInstitute of Computer Science, University of TartuCenter for Integrative Genomics, University of LausanneGenetics of Complex Traits, College of Medicine and Health, University of ExeterDepartment of Psychiatry and Psychotherapy, University Medicine GreifswaldLaboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Fédérale de LausanneSwiss Institute of BioinformaticsLocal Health Unit Toscana CentroClinical Res Branch, National Institute of AgingInstitute of Clinical Chemistry and Laboratory Medicine, University Medicine GreifswaldDZHK (German Centre for Cardiovascular Research), partner site GreifswaldSwiss Institute of BioinformaticsEstonian Biobank, University of TartuDZHK (German Centre for Cardiovascular Research), partner site GreifswaldUniversity of Exeter Medical School, University of ExeterEndocrine, Diabetes, and Metabolism Service, Lausanne University HospitalCenter for Integrative Genomics, University of LausanneSwiss Institute of BioinformaticsIdentification 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.https://doi.org/10.1038/s41467-021-25805-y
spellingShingle 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
Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
Nature Communications
title Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
title_full Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
title_fullStr Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
title_full_unstemmed Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
title_short Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome
title_sort differentially expressed genes reflect disease induced rather than disease causing changes in the transcriptome
url https://doi.org/10.1038/s41467-021-25805-y
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