eQTLs as causal instruments for the reconstruction of hormone linked gene networks.
causal inference
eQTL
genetics
hormones
networks
Journal
Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782
Informations de publication
Date de publication:
2022
2022
Historique:
received:
20
05
2022
accepted:
25
07
2022
entrez:
5
9
2022
pubmed:
6
9
2022
medline:
9
9
2022
Statut:
epublish
Résumé
Hormones act within in highly dynamic systems and much of the phenotypic response to variation in hormone levels is mediated by changes in gene expression. The increase in the number and power of large genetic association studies has led to the identification of hormone linked genetic variants. However, the biological mechanisms underpinning the majority of these loci are poorly understood. The advent of affordable, high throughput next generation sequencing and readily available transcriptomic databases has shown that many of these genetic variants also associate with variation in gene expression levels as expression Quantitative Trait Loci (eQTLs). In addition to further dissecting complex genetic variation, eQTLs have been applied as tools for causal inference. Many hormone networks are driven by transcription factors, and many of these genes can be linked to eQTLs. In this mini-review, we demonstrate how causal inference and gene networks can be used to describe the impact of hormone linked genetic variation upon the transcriptome within an endocrinology context.
Identifiants
pubmed: 36060942
doi: 10.3389/fendo.2022.949061
pmc: PMC9428692
doi:
Substances chimiques
Hormones
0
Types de publication
Journal Article
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
949061Informations de copyright
Copyright © 2022 Bankier and Michoel.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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