Incident diseases
Disease1 paper5 findings
- Humans1
Associations
5Short sleep duration
upin humans1
1 study
Short sleep duration
upin humans1
Short sleep duration raises the risk of incident diseases in humans.
Humans<5 hours
Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis · PLoS medicine · 17 Sep 2026
Wakefulness after sleep onset
upin humans1
1 study
Wakefulness after sleep onset
upin humans1
Wakefulness after sleep onset raises the risk of incident diseases in humans.
Humans
Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis · PLoS medicine · 17 Sep 2026
Sleep irregularity
upin humans1
1 study
Sleep irregularity
upin humans1
Sleep irregularity raises the risk of incident diseases in humans.
Humans
Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis · PLoS medicine · 17 Sep 2026
Deep sleep
downin humans1
1 study
Deep sleep
downin humans1
Deep sleep lowers the risk of incident diseases in humans.
Humans
Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis · PLoS medicine · 17 Sep 2026
Rem sleep
downin humans1
1 study
Rem sleep
downin humans1
Rem sleep lowers the risk of incident diseases in humans.
Humans
Accelerometer-derived real-world sleep stages and risk of incident diseases: A UK Biobank cohort study and phenome-wide association analysis · PLoS medicine · 17 Sep 2026
Funding
Wellcome Trust1 grant since 2025
Latest
16Proteomic disease prediction models generalize across biobanks
In models trained on 53,026 UK Biobank participants, 13 of 15 incident disease models maintained performance across FinnGen and All of Us cohorts.In models trained on 53,026 UK Biobank participants, 13 of 15 incident disease models maintained performance across FinnGen and All of Us cohorts.
Blood cell composition explains substantial variation in DNA methylation age
Cell counts explain less variation in age acceleration and only modestly affect its links to mortality and 176 incident health outcomes.Cell counts explain less variation in age acceleration and only modestly affect its links to mortality and 176 incident health outcomes.
DNA methylation proxies of senescence markers track human disease and mortality
The new blood-based tools estimate senescence gene activity to predict incident diseases, all-cause mortality, and clinical treatment responses.The new blood-based tools estimate senescence gene activity to predict incident diseases, all-cause mortality, and clinical treatment responses.