To uncover how genetic variation contributes to rhythmic regulation, we systematically mapped rhythmic
expression quantitative trait loci (rhyQTLs) across 45 human tissues (
Nature Communication
2025).
These genome-wide associations link genetic variants to inter-individual differences in rhythmic gene
expression patterns. The rhyQTL model provides novel insights into rhythm-linked disease risk and enables
personalized chronomedicine strategies.
