Cardio-Metabolic Disease Genetic Risk Factors in Iran: Twenty Years of Tehran Lipid and Glucose Study-Reference-Cited by-同舟云学术

Cardio-Metabolic Disease Genetic Risk Factors in Iran: Twenty Years of Tehran Lipid and Glucose Study

Published:2018-10-27 Issue:In Press Volume:In Press Page:
ISSN:1726-913X
Container-title:International Journal of Endocrinology and Metabolism
language:
Short-container-title:Int J Endocrinol Metab

Author:

Daneshpour Maryam Sadat,Hedayati Mehdi,Sedaghati-Khayat Bahareh,Guity Kamran,Zarkesh Maryam,Akbarzadeh Mahdi,Javanrooh Niloofar,Zadeh-Vakili Azita,Azizi Fereidoun

Publisher

Briefland

Subject

Endocrinology, Diabetes and Metabolism

Reference67 articles.

1. Genes, environment and the value of prospective cohort studies

2. Gene–environment interactions in human diseases

3. Genetic Profile, Environmental Exposure, and Their Interaction in Parkinson’s Disease

4. Rationale and Design of a Genetic Study on Cardiometabolic Risk Factors: Protocol for the Tehran Cardiometabolic Genetic Study (TCGS)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Regularized Machine Learning Models for Prediction of Metabolic Syndrome Using GCKR, APOA5, and BUD13 Gene Variants: Tehran Cardiometabolic Genetic Study;CELL J;2023

2. Serum C-peptide level and the risk of cardiovascular diseases mortality and all-cause mortality: a meta-analysis and systematic review;Frontiers in Cardiovascular Medicine;2023-07-07

3. The role of FTO variant rs1421085 in the relationship with obesity: a systematic review and meta-analysis;Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity;2022-11-25

4. The AGT epistasis pattern proposed a novel role for ZBED9 in regulating blood pressure: Tehran Cardiometabolic genetic study (TCGS);Gene;2022-07

5. Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study;Journal of Translational Medicine;2022-04-09