Sleep and circadian disturbances are prodromal to several neurodegenerative diseases such as Alzheimer’s disease and Parkinsons disease. We aim to adapt real-time sleep, circadian, diet and metabolic phenotyping approaches (apps and wearable technology) to understand mechanistic links. Digital phenotyping, coupled with genetic, genomic and drug information in carriers of risk or protective genetic variants, or in diseased individuals will enhance dynamic data collection on sleep and circadian rhythm parameters to ultimately inform biology of aging diseases and therapeutic interventions.
Genetic links between chronic fatigue and long COVID
Genetic approaches leveraging large biobanks offer opportunities for gene discovery unbiased to known biology that should provide insights into the biological underpinnings and possible genetic links with long COVID.
