Bita Shalbafan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Bita Shalbafan has a total of 40 co-authors. Here are the top co-authors by number of shared publications:
- Amirabbas Momenan
Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 shared publications - Davood Khalili
Prevention of Metabolic Disorders Research Center, Research Institute for Metabolic and Obesity Disorders, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 shared publications - Fahimeh Ramezani Tehrani
Reproductive Endocrinology Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 shared publications - Fereidoun Azizi
Endocrine Research Center, Research Institute for Endocrine Disorders, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences Tehran Iran
2 shared publications - Hossein Lanjanian
Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
2 shared publications - Kamran Guity
Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Molecular Biology, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; University of Iceland School of Health Sciences, Faculty of Medicine, Reykjavik, Iceland
2 shared publications
Latest Publications
- Open Access
- 25 October 2025
- Published by Elsevier in Journal of Genetic Engineering and Biotechnology
- Vol. 23 (4) , 100605
Within-family analysis of PRS313: insights into breast cancer risk prediction
- 25 October 2025
- Published by Elsevier in Journal of Genetic Engineering and Biotechnology
- Vol. 23 (4) , 100605
Open AccessWithin-family analysis of PRS313: insights into breast cancer risk prediction
- 12 May 2023
- Published by Springer Nature in European Journal of Epidemiology
- Vol. 38 (6) , 699-711
Cohort profile update: Tehran cardiometabolic genetic study
The Tehran cardiometabolic genetic study (TCGS) is a large population-based cohort study that conducts periodic follow-ups. TCGS has created a comprehensive database comprising 20,367 participants born between 1911 and 2015 selected from four main ongoing studies in a family-based longitudinal framework. The study's primary goal is to identify the potential targets for prevention and intervention for non-communicable diseases that may develop in mid-life and late life. TCGS cohort focuses on cardiovascular, endocrine, metabolic abnormalities, cancers, and some inherited diseases. Since 2017, the TCGS cohort has augmented by encoding all health-related complications, including hospitalization outcomes and self-reports according to ICD11 coding, and verifying consanguineous marriage using genetic markers. This research provides an update on the rationale and design of the study, summarizes its findings, and outlines the objectives for precision medicine.
- 12 May 2023
- Published by Springer Nature in European Journal of Epidemiology
- Vol. 38 (6) , 699-711
Cohort profile update: Tehran cardiometabolic genetic study
The Tehran cardiometabolic genetic study (TCGS) is a large population-based cohort study that conducts periodic follow-ups. TCGS has created a comprehensive database comprising 20,367 participants born between 1911 and 2015 selected from four main ongoing studies in a family-based longitudinal framework. The study's primary goal is to identify the potential targets for prevention and intervention for non-communicable diseases that may develop in mid-life and late life. TCGS cohort focuses on cardiovascular, endocrine, metabolic abnormalities, cancers, and some inherited diseases. Since 2017, the TCGS cohort has augmented by encoding all health-related complications, including hospitalization outcomes and self-reports according to ICD11 coding, and verifying consanguineous marriage using genetic markers. This research provides an update on the rationale and design of the study, summarizes its findings, and outlines the objectives for precision medicine.