The Translational Initiative to Map Epigenetics in Aging (TIME-A) (TIME-A)
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. |
ClinicalTrials.gov Identifier: NCT05760547 |
Recruitment Status :
Not yet recruiting
First Posted : March 8, 2023
Last Update Posted : March 8, 2023
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Condition or disease |
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Biological Aging |
Study Type : | Observational |
Estimated Enrollment : | 25000 participants |
Observational Model: | Other |
Time Perspective: | Prospective |
Official Title: | The Translational Initiative to Map Epigenetics in Aging (TIME-A) |
Estimated Study Start Date : | March 8, 2023 |
Estimated Primary Completion Date : | March 31, 2033 |
Estimated Study Completion Date : | March 31, 2033 |

Group/Cohort |
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TIME-A
Group will complete periodic surveys
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- Effect of environmental and lifestyle factors on biological age [ Time Frame: At baseline and throughout study (approximately every 6 months up to 120 months) ]Univariate and multivariate statistical methods will be used to identify which environmental and lifestyle factors (from TIME-A survey responses) influence biological age.
- Effect of general health on biological age [ Time Frame: At baseline and throughout study (approximately every 6 months up to 120 months) ]Univariate and multivariate statistical methods will be used to identify which general health characteristics (from TIME-A survey responses) influence biological age.
- Effect of medical history on biological age [ Time Frame: At baseline and throughout study (approximately every 6 months up to 120 months) ]Univariate and multivariate statistical methods will be used to identify the impact of medical history (from TIME-A survey responses) on biological age.
- Develop epigenetic signatures that are predictive of health status [ Time Frame: At baseline and throughout study (approximately every 6 months up to 120 months) ]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.

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Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | Yes |
Sampling Method: | Probability Sample |
Inclusion Criteria:
- All adults aged 18 and above
- Have registered at least one Index kit via the Elysium Health website
- Able and willing to provide digital consent to the Research Consent Form, and the TIME-A Research Subject Consent Form
Exclusion Criteria:
- Consent to participate not given

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT05760547
Contact: Ryan Dellinger, PhD | (888) 220 6436 | care@elysiumhealth.com |
Principal Investigator: | Dayle Sampson, PhD | Elysium Health | |
Principal Investigator: | Holly Holmes, PhD | Elysium Health |
Responsible Party: | Elysium Health |
ClinicalTrials.gov Identifier: | NCT05760547 |
Other Study ID Numbers: |
TIME-A |
First Posted: | March 8, 2023 Key Record Dates |
Last Update Posted: | March 8, 2023 |
Last Verified: | February 2023 |
Individual Participant Data (IPD) Sharing Statement: | |
Plan to Share IPD: | No |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |