Cohort profile update: Tehran cardiometabolic genetic study.

Cardiovascular Diseases / epidemiology Iran / epidemiology Longitudinal Studies Cohort Studies

Cardiometabolic biomarkers Cohort study Consanguineous marriage Endocrine disease Lifestyle Nutrition Precision medicine Tehran cardiometabolic genetic study (TCGS)

Journal

European journal of epidemiology

ISSN: 1573-7284

Titre abrégé: Eur J Epidemiol

Pays: Netherlands

ID NLM: 8508062

Informations de publication

Date de publication:
Jun 2023

Historique:

received: 20 11 2022

accepted: 13 04 2023

medline: 2 6 2023

pubmed: 12 5 2023

entrez: 11 5 2023

Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.1007/s10654-023-01008-1 PMID: 37169991 PMC: PMC10175059

pubmed: 37169991

doi: 10.1007/s10654-023-01008-1

pii: 10.1007/s10654-023-01008-1

pmc: PMC10175059

doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

Pagination

699-711

Informations de copyright

Références

Haldorsen EMH. The right treatment to the right patient at the right time. Occup Environ Med. 2003;60:235–6.

doi: 10.1136/oem.60.4.235 pubmed: 12660369 pmcid: 1740512

Azizi F, Ghanbarian A, Momenan AA, Hadaegh F, Mirmiran P, Hedayati M, et al. Prevention of non-communicable disease in a population in nutrition transition: Tehran Lipid and Glucose Study phase II. Trials. BioMed Central; 2009;10:5.

Azizi F, Zadeh-Vakili A, Takyar M. Review of rationale, design, and initial findings: Tehran Lipid and Glucose Study. Int J Endocrinol Metab. 2018;16:e84777.

pubmed: 30584442 pmcid: 6289309

Barzin M, Hosseinpanah F, Motamedi MA, Shapoori P, Arian P, Daneshpour MA, et al. Bariatric surgery for morbid obesity: Tehran Obesity Treatment Study (TOTS) rationale and study design. JMIR Res Protoc. 2016;5:e8.

doi: 10.2196/resprot.5214 pubmed: 26792554 pmcid: 4740496

Hedayati M, Zarif Yeganeh M, Sheikholeslami S, Afsari F. Diversity of mutations in the RET proto-oncogene and its oncogenic mechanism in medullary thyroid cancer. Crit Rev Clin Lab Sci. 2016;53:217–27. https://doi.org/10.3109/10408363.2015.1129529 .

doi: 10.3109/10408363.2015.1129529 pubmed: 26678667

Daneshpour MS, Fallah M-S, Sedaghati-Khayat B, Guity K, Khalili D, Hedayati M, et al. Rationale and design of a Genetic Study on Cardiometabolic Risk Factors: Protocol for the Tehran Cardiometabolic Genetic Study (TCGS). JMIR Res Protoc 2017;6:e28. Available from: https://pubmed.ncbi.nlm.nih.gov/28232301/

ICD-11 for Mortality and Morbidity Statistics. Available from: https://icd.who.int/browse11/l-m/en

Mills KT, Stefanescu A, He J. The global epidemiology of hypertension. Nat Rev Nephrol. 2020;16:223.

doi: 10.1038/s41581-019-0244-2 pubmed: 32024986 pmcid: 7998524

Kolifarhood G, Daneshpour MS, Khayat BS, Saadati HM, Guity K, Khosravi N, et al. Generality of genomic findings on blood pressure traits and its usefulness in precision medicine in diverse populations: a systematic review. Clin Genet. 2019;96.

Kolifarhood G, Daneshpour MS, Zahedi AS, Khosravi N, Sedaghati-Khayat B, Guity K, et al. Familial genetic and environmental risk profile and high blood pressure event: a prospective cohort of cardio-metabolic and genetic study. Blood Press Taylor and Francis Ltd. 2021;30:196–204.

doi: 10.1080/08037051.2021.1903807

Kolifarhood G, Sabour S, Akbarzadeh M, Sedaghati-khayat B, Guity K, Rasekhi Dehkordi S, et al. Genome-wide association study on blood pressure traits in the Iranian population suggests ZBED9 as a new locus for hypertension. Sci Rep 2021;11.

Akbarzadeh M, Riahi P, Kolifarhood G, Lanjanian H, Alipour N, Bonab LNH, et al. The AGT epistasis pattern proposed a novel role for ZBED9 in regulating blood pressure: Tehran Cardiometabolic genetic study (TCGS). Gene. 2022;831:146560.

doi: 10.1016/j.gene.2022.146560 pubmed: 35577038

Martín-Timón I, Sevillano-Collantes C, Segura-Galindo A, del Cañizo-Gómez FJ. Type 2 diabetes and cardiovascular disease: Have all risk factors the same strength? World J Diabetes. 2014;5:444.

doi: 10.4239/wjd.v5.i4.444 pubmed: 25126392 pmcid: 4127581

Akbarzadeh M, Riahi P, Ramezankhani A, Dehkordi SR, Roudbar MA, Zarkesh M, et al. Parental transmission plays the major role in the high aggregation of type 2 Diabetes in Iranian families: Tehran Lipid and Glucose Study (TLGS). Can J Diabetes. 2021.

Moazzam-Jazi M, Najd Hassan Bonab L, Zahedi AS, Daneshpour MS. High genetic burden of type 2 diabetes can promote the high prevalence of disease: a longitudinal cohort study in Iran. Sci Rep. 2020;10:1–11.

doi: 10.1038/s41598-020-70725-4

Akbarzadeh M, Dehkordi SR, Roudbar MA, Sargolzaei M, Guity K, Sedaghati-Khayat B, et al. GWAS findings improved genomic prediction accuracy of lipid profile traits: Tehran Cardiometabolic Genetic Study. Sci Rep. 2021;11:1–9.

doi: 10.1038/s41598-021-85203-8

Najd Hassan Bonab L, Moazzam-Jazi M, Miri Moosavi RS, Fallah MS, Lanjanian H, Masjoudi S, et al. Low HDL concentration in rs2048327-G carriers can predispose men to develop coronary heart disease: Tehran Cardiometabolic genetic study (TCGS). Gene. 2021;778:145485.

doi: 10.1016/j.gene.2021.145485 pubmed: 33581269

Matoo S, Fallah MS, Daneshpour MS, Mousavi R, Khayat BS, Hasanzad M, et al. Increased risk of CHD in the presence of Rs7865618 (A allele): Tehran lipid and glucose study. Arch Iran Med. 2017;20:153–7.

pubmed: 28287809

Hosseini-Esfahani F, Esfandiar Z, Mirmiran P, Daneshpour MS, Ghanbarian A, Azizi F. The interaction of cholesteryl ester transfer protein gene variations and diet on changes in serum lipid profiles. Eur J Clin Nutr. 2019;73:1291–8.

doi: 10.1038/s41430-019-0397-x pubmed: 30705383

Sung Y, Feng Z, Subedi S. A genome-wide association study of multiple longitudinal traits with related subjects. Stat. 2016;5:22–44.

doi: 10.1002/sta4.102 pubmed: 27134745

Hosseinzadeh N, Mehrabi Y, Daneshpour MS, Zayeri F, Guity K, Azizi F. Identifying new associated pleiotropic SNPs with lipids by simultaneous test of multiple longitudinal traits: an Iranian family-based study. Gene. 2019;692:156–69.

doi: 10.1016/j.gene.2019.01.007 pubmed: 30658068

Javanrouh N, Soltanian AR, Tapak L, Azizi F, Ott J, Daneshpour MS. A novel association of rs13334070 in the RPGRIP1L gene with adiposity factors discovered by joint linkage and linkage disequilibrium analysis in Iranian pedigrees: Tehran Cardiometabolic Genetic Study (TCGS). Genet Epidemiol. 2019;43:342–51.

doi: 10.1002/gepi.22179 pubmed: 30597647

Javanrouh N, Daneshpour MS, Soltanian AR, Tapak L. Kernel machine SNP set analysis provides new insight into the association between obesity and polymorphisms located on the chromosomal 16q.12.2 region: Tehran Lipid and Glucose Study. Gene. 2018;658:146–51.

doi: 10.1016/j.gene.2018.03.006 pubmed: 29524577

Javanrouh N, Khalaj A, Guity K, Sedaghati-Khayat B, Valizadeh M, Barzin M, et al. Presence of CC genotype for rs17773430 could affect the percentage of excess weight loss 1 year after bariatric surgery: Tehran Obesity Treatment Study (TOTS). Obes Surg United States. 2020;30:537–44.

doi: 10.1007/s11695-019-04211-w

Javanrouh N, Khalaj A, Guity K, Sedaghati-khayat B, Valizadeh M, Barzin M, et al. Presence of CC genotype for rs17773430 could affect the percentage of excess weight loss 1 year after bariatric surgery: Tehran Obesity Treatment Study (TOTS). Obes Surg. 2020;30:537–44.

doi: 10.1007/s11695-019-04211-w pubmed: 31637671

Gharooi Ahangar O, Javanrouh N, Daneshpour MS, Barzin M, Valizadeh M, Azizi F, et al. Genetic markers and continuity of healthy metabolic status: Tehran cardio-metabolic genetic study (TCGS). Sci Rep. 2020;10.

Sedaghati-khayat B, Barzin M, Akbarzadeh M, Guity K, Fallah M-S, Pourhassan H, et al. Lack of association between FTO gene variations and metabolic healthy obese (MHO) phenotype: Tehran Cardio-metabolic Genetic Study (TCGS). Eating and Weight Disorders. 2020;25.

Hosseini-Esfahani F, Koochakpoor G, Mirmiran P, Daneshpour MS, Azizi F. Dietary patterns modify the association between fat mass and obesity-associated genetic variants and changes in obesity phenotypes. Br J Nutr. 2019;121:1247–54.

doi: 10.1017/S0007114519000643 pubmed: 30929646

Koochakpour G, Esfandiar Z, Hosseini-Esfahani F, Mirmiran P, Daneshpour MS, Sedaghati-Khayat B, et al. Evaluating the interaction of common FTO genetic variants, added sugar, and trans-fatty acid intakes in altering obesity phenotypes. Nutr Metab Cardiovasc Dis. 2019;29:474–80.

doi: 10.1016/j.numecd.2019.01.005 pubmed: 30954417

Goodarzi G, Hosseini-Esfahani F, Ataie-Jafari A, Haji-Hosseini-gazestani N, Daneshpour MS, Keshavarz SA, et al. Dietary diversity modifies the association between FTO polymorphisms and obesity phenotypes. Int J Food Sci Nutr. 2021;72:997–1007.

doi: 10.1080/09637486.2021.1890698 pubmed: 33627022

Mousavizadeh Z, Hosseini-Esfahani F, Javadi A, Daneshpour MS, Akbarzadeh M, Javadi M, et al. The interaction between dietary patterns and melanocortin-4 receptor polymorphisms in relation to obesity phenotypes. Obes Res Clin Pract. 2020;14:249–56.

doi: 10.1016/j.orcp.2020.04.002 pubmed: 32446744

Moazzam-Jazi M, Sadat Zahedi A, Akbarzadeh M, Azizi F, Daneshpour MS. Diverse effect of MC4R risk alleles on obesity-related traits over a lifetime: Evidence from a well-designed cohort study. Gene. 2022;807.

Perez-Martinez P, M Phillips C, Delgado-Lista J, Garcia-Rios A, Lopez-Miranda J, Perez-Jimenez F. Nutrigenetics, metabolic syndrome risk and personalized nutrition. Curr Vasc Pharmacol. 2013;11:946–53

Farhadnejad H, Parastouei K, Rostami H, Mirmiran P, Azizi F. Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults. Diabetol Metab Syndr. 2021;13:1–10.

doi: 10.1186/s13098-021-00648-1

Zarkesh M, Daneshpour MS, Faam B, Fallah MS, Hosseinzadeh N, Guity K, et al. Heritability of the metabolic syndrome and its components in the Tehran Lipid and Glucose Study (TLGS). Genet Res (Camb). 2012;94:331–7.

doi: 10.1017/S001667231200050X pubmed: 23374242

Naseri P, Khodakarim S, Guity K, Daneshpour MS. Familial aggregation and linkage analysis with covariates for metabolic syndrome risk factors. Gene. 2018;659:118–22.

doi: 10.1016/j.gene.2018.03.033 pubmed: 29548861

Yamada Y, Kato K, Oguri M, Horibe H, Fujimaki T, Yasukochi Y, et al. Identification of four genes as novel susceptibility loci for early-onset type 2 diabetes mellitus, metabolic syndrome, or hyperuricemia. Biomed Rep. 2018;9:21–36.

pubmed: 29930802 pmcid: 6006760

Zahedi AS, Akbarzadeh M, Sedaghati-Khayat B, Seyedhamzehzadeh A, Daneshpour MS. GCKR common functional polymorphisms are associated with metabolic syndrome and its components: a 10-year retrospective cohort study in Iranian adults. Diabetol Metab Syndr BioMed Central. 2021;13:1–10.

Esfandiar Z, Hosseini-Esfahani F, Daneshpour MS, Zand H, Mirmiran P, Azizi F. Cholesteryl ester transfer protein gene variations and macronutrient intakes interaction in relation to metabolic syndrome: Tehran lipid and glucose study. Iran J Basic Med Sci. 2018;21:586–92.

pubmed: 29942448 pmcid: 6015254

Hosseinpour-Niazi S, Bakhshi B, Zahedi A-S, Akbarzadeh M, Daneshpour MS, Mirmiran P, et al. TCF7L2 polymorphisms, nut consumption, and the risk of metabolic syndrome: a prospective population based study. Nutr Metab. 2021;18:1–11.

doi: 10.1186/s12986-021-00542-7

Akbarzadeh M, Alipour N, Moheimani H, Zahedi AS, Hosseini-Esfahani F, Lanjanian H, et al. Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study. J Transl Med. 2022;20:1–12.

doi: 10.1186/s12967-022-03349-z

Masjoudi S, Sedaghati-khayat B, Givi NJ, Bonab LNH, Azizi F, Daneshpour MS. Kernel machine SNP set analysis finds the association of BUD13, ZPR1, and APOA5 variants with metabolic syndrome in Tehran Cardio-metabolic Genetics Study. Sci Rep. 2021;11.

Clark DW, Okada Y, Moore KHS, Mason D, Pirastu N, Gandin I, et al. Associations of autozygosity with a broad range of human phenotypes. Nat Commun. 2019;10.

Lanjanian H, Moazzam-Jazi M, Hedayati M, Akbarzadeh M, Guity K, Sedaghati-khayat B, et al. SARS-CoV-2 infection susceptibility influenced by ACE2 genetic polymorphisms: insights from Tehran Cardio-Metabolic Genetic Study. Sci Rep. 2021;11.

Moazzam-Jazi M, Lanjanian H, Maleknia S, Hedayati M, Daneshpour MS. Interplay between SARS-CoV-2 and human long non-coding RNAs. J Cell Mol Med. 2021;25:5823–7.

doi: 10.1111/jcmm.16596 pubmed: 33969601 pmcid: 8184717

Lanjanian H, Nematzadeh S, Hosseini S, Torkamanian-Afshar M, Kiani F, Moazzam-Jazi M, et al. High-throughput analysis of the interactions between viral proteins and host cell RNAs. Comput Biol Med. 2021;135:104611.

doi: 10.1016/j.compbiomed.2021.104611 pubmed: 34246161 pmcid: 8252845