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The Translational Initiative to Map Epigenetics in Aging (TIME-A) study aims to advance our understanding of the connections between epigenetics, lifestyle, demographics, and health and aging.
TIME-A is a longitudinal research initiative. Anyone who has ever taken an Index test registered through Elysium Health is eligible to participate. Participation involves answering questions that will be administered via a survey format. Research participants' survey responses will be combined with their epigenetic Index data with the primary aim of identifying the contributions of 1) environmental and lifestyle factors, 2) general health, and 3) medical history, on biological age. Exploratory aims include the development of epigenetic signatures that are predictive of health status, and exploring the relationship between epigenetically-derived health phenotypes and biological age. These findings will lay the foundation for personalized health recommendations using Index (including, but not limited to: workout routines, diets, supplement regimens, medications, lifestyle changes).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| TIME-A | Group will complete periodic surveys |
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| Measure | Description | Time Frame |
|---|---|---|
| Effect of environmental and lifestyle factors on biological age | Univariate and multivariate statistical methods will be used to identify which environmental and lifestyle factors (from TIME-A survey responses) influence biological age. | At baseline and throughout study (approximately every 6 months up to 120 months) |
| Effect of general health on biological age | Univariate and multivariate statistical methods will be used to identify which general health characteristics (from TIME-A survey responses) influence biological age. | At baseline and throughout study (approximately every 6 months up to 120 months) |
| Effect of medical history on biological age | Univariate and multivariate statistical methods will be used to identify the impact of medical history (from TIME-A survey responses) on biological age. | At baseline and throughout study (approximately every 6 months up to 120 months) |
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| Measure | Description | Time Frame |
|---|---|---|
| Develop epigenetic signatures that are predictive of health status | DNA methylation data and TIME-A survey responses will be combined. Supervised and unsupervised machine learning methods will be used to generate novel methylation-derived predictors of participants' survey responses. | At baseline and throughout study (approximately every 6 months up to 120 months) |
Inclusion Criteria:
Exclusion Criteria:
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Adults 18 or older
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ryan Dellinger, PhD | Contact | (888) 220 6436 | care@elysiumhealth.com |
| Name | Affiliation | Role |
|---|---|---|
| Dayle Sampson, PhD | Elysium Health | Principal Investigator |
| Holly Holmes, PhD | Elysium Health | Principal Investigator |
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