AGEoTD: Prediction of the chronological age of a person in different biological trace materials

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00030648

Enrollment

300

Registered

2023-05-30

Start date

2023-06-05

Completion date

Unknown

Last updated

2026-02-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

no disease/health issue investigated

Interventions

Group 1: In this study, age-dependent DNA methylation markers for determining the age of a person will be identified from evrschieden trace materials and implemented in an age estimation model. 1) Th

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: none

Exclusion criteria

Exclusion criteria: For vaginal fluid and menstrual blood: no unprotected intercourse for 72 h. Otherwise no exclusion criteria

Design outcomes

Primary

Measure	Time frame
Successful creation of age prediction models to determine the chronological age of a person based on different trace materials.	—

Secondary

Measure	Time frame
Determination of the chronological age of an individual within a mixed trace	—

Countries

Germany

Contacts

Public ContactJana Naue

Universitätsklinikum FreiburgInstitut für Rechtsmedizin

jana.naue@uniklinik-freiburg.de+49 761 203-6851

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 7, 2026