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Updated: Jul 30, 2025
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Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
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Cohort profile update: Tehran cardiometabolic genetic study.
Maryam S Daneshpour1, Mahdi Akbarzadeh2, Hossein Lanjanian2
1Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, P.O. Box 19195-4763, Tehran, Iran. daneshpour@sbmu.ac.ir.
European Journal of Epidemiology
|May 11, 2023
Summary
The Tehran cardiometabolic genetic study (TCGS) is a large cohort study tracking health in 20,367 individuals to find prevention targets for non-communicable diseases. It focuses on cardiovascular and metabolic health, cancers, and inherited conditions.
Area of Science:
- Genetics
- Epidemiology
- Public Health
Background:
- The Tehran cardiometabolic genetic study (TCGS) is a large, family-based, longitudinal cohort.
- It includes 20,367 participants born between 1911 and 2015, drawn from four ongoing studies.
- The cohort enables long-term tracking of health outcomes.
Purpose of the Study:
- To identify potential prevention and intervention targets for non-communicable diseases.
- To focus on cardiovascular, endocrine, and metabolic abnormalities, cancers, and inherited diseases.
- To advance precision medicine through comprehensive data analysis.
Main Methods:
- Periodic follow-ups and comprehensive database creation.
- Augmentation since 2017 with ICD-11 coded health complications and hospitalization outcomes.
- Verification of consanguineous marriage using genetic markers.
Main Results:
- The study has established a robust dataset for analyzing cardiometabolic and other non-communicable diseases.
- Ongoing data collection and coding provide detailed health information.
- Genetic markers are used to understand familial disease patterns.
Conclusions:
- The TCGS provides a valuable resource for understanding the genetic and environmental factors influencing non-communicable diseases.
- The study is crucial for developing targeted strategies in precision medicine.
- Future research will leverage this data to improve public health outcomes.
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