The Genetic Architecture of the Clustering of Cardiometabolic Risk Factors: A Study of 8- to 17-Year-Old Chinese Twins. (25th October 2020)

• Record Type: Journal Article
• Authors: Ji, Fuling; Ning, Feng; Duan, Haiping; Dong, Liyan; Yang, Feng; Liu, Zhisheng; Song, Xuyan; Zhang, Dongfeng; Wang, Shaojie; Pang, Zengchang; Kaprio, Jaakko; Silventoinen, Karri
• Is Part Of: Twin research and human genetics. Volume 23:Number 5(2020)
• Page Start: 283
• Page End: 291
• Publication Date: 2020-10-25
• Subjects: Genetics, -- cardiovascular disease, -- children, -- twin study, -- Chinese; Twins -- Periodicals; Multiple birth -- Periodicals; 618.25
• DOI: 10.1017/thg.2020.72
• Languages: English
• ISSNs: 1832-4274

Abstract

Abstract: We explored the genetic architecture of metabolic risk factors of cardiovascular diseases (CVDs) and their clustering in Chinese boys and girls. Seven metabolic traits (body mass index [BMI], waist circumference [WC], systolic blood pressure [SBP], diastolic blood pressure [DBP], total cholesterol [TC], triglyceride [TG], and uric acid [UA]) were measured in a sample of 1016 twins between 8 and 17 years of age, recruited from the Qingdao Twin Registry. Cholesky, independent pathway, and common pathway models were used to identify the latent genetic structure behind the clustering of these metabolic traits. Genetic architecture of these metabolic traits was largely similar in boys and girls. The highest heritability was found for BMI (a 2 = 0.63) in boys and TC (a 2 = .69) in girls. Three heritable factors, adiposity (BMI and WC), blood pressure (SBP and DBP), and metabolite factors (TC, TG, and UA), which formed one higher-order latent phenotype, were identified. Latent genetic, common environmental, and unique environmental factors indirectly impacted the three factors through one single latent factor. Our results suggest that there is one latent factor influencing several metabolic traits, which are known risk factors of CVDs in young Chinese twins. Latent genetic, common environmental, and unique environmental factors indirectly imposed on them. These results inform strategies for gene pleiotropic discovery and intervening of CVD risk factors during childhood and adolescence.