Epigenetics and NCD Prevention in Kazakhstan: Personalized Approaches and Biological Age Prediction

Asfendiyarov Kazakh National Medical University

Status: Enrolling

Conditions: Chronic Kidney Diseases; Type 2 Diabetes; Chronic Respiratory Diseases; Cardiovascular Diseases (CVD); Obesity (Disorder)

Treatments: Other: Genetic: DNA analysis

Study type: Observational

Funder types: Other

Identifiers

NCT06953180

BR27304987

Details and patient eligibility

About

This study aims to enhance personalized and preventive care for non-communicable diseases (NCDs) in Kazakhstan by examining epigenetic factors, predicting biological age and reproductive function using machine learning, and developing health improvement recommendations.

Enrollment: 6,720 estimated patients

Sex: All

Ages: 18 to 69 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• Adults aged 18 to 69 years.
• Residents of 17 regions of Kazakhstan.
• Willingness to participate and provide informed consent.

Exclusion criteria

• Age less than 18 years old or over 69 years old.
• Failure to provide informed consent or incomplete participation in data collection procedures.

Trial design

6,720 participants in 1 patient group

The study includes 1 cohort divided into 4 age subgroups.

Description:

The study follows a multistage cluster sampling design with age and gender stratification. A total of 1 cohorts have been identified, further divided into 4 age subgroups: 1. 18-29 years 2. 30-44 years 3. 45-59 years 4. 60-69 years Each age group is designed to have an equal distribution of men and women, ensuring gender balance across all subgroups.

Treatment:

Other: Genetic: DNA analysis