The Translational Initiative to Map Epigenetics in Aging (TIME-A)

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorElysium Health

About this trial

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.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

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

Disqualifiers

Consent to participate not given

Trial population

Adults 18 or older

Trial design

Design model

Other

Time perspective

Prospective

Treatments tested in this trial

Not listed

Trial groups

25,000 Participants
are grouped into 1 trial group
Group A: TIME-A

Trial outcomes

Primary outcomes

1

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.

Time frame
At baseline and throughout study (approximately every 6 months up to 120 months)
2

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.

Time frame
At baseline and throughout study (approximately every 6 months up to 120 months)
3

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.

Time frame
At baseline and throughout study (approximately every 6 months up to 120 months)

Secondary outcomes

Other outcomes

1

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.

Time frame
At baseline and throughout study (approximately every 6 months up to 120 months)

Locations

This trial has no locations.

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

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