Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome.
Fiche du document
24 septembre 2021
- doi: 10.1038/s41467-021-25805-y
- issn: 2041-1723
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-021-25805-y
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/34561431
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/eissn/2041-1723
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_253FEBED3C3F7
info:eu-repo/semantics/openAccess , CC BY 4.0 , https://creativecommons.org/licenses/by/4.0/
Sujets proches
Genes--ExpressionCiter ce document
E. Porcu et al., « Differentially expressed genes reflect disease-induced rather than disease-causing changes in the transcriptome. », Serveur académique Lausannois, ID : 10.1038/s41467-021-25805-y
Métriques
Partage / Export
Résumé
Comparing transcript levels between healthy and diseased individuals allows the identification of differentially expressed genes, which may be causes, consequences or mere correlates of the disease under scrutiny. We propose a method to decompose the observational correlation between gene expression and phenotypes driven by confounders, forward- and reverse causal effects. The bi-directional causal effects between gene expression and complex traits are obtained by Mendelian Randomization integrating summary-level data from GWAS and whole-blood eQTLs. Applying this approach to complex traits reveals that forward effects have negligible contribution. For example, BMI- and triglycerides-gene expression correlation coefficients robustly correlate with trait-to-expression causal effects (r BMI = 0.11, P BMI = 2.0 × 10 -51 and r TG = 0.13, P TG = 1.1 × 10 -68 ), but not detectably with expression-to-trait effects. Our results demonstrate that studies comparing the transcriptome of diseased and healthy subjects are more prone to reveal disease-induced gene expression changes rather than disease causing ones.