Cargando…

Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age

Background: The prevalence of obesity and cardiometabolic diseases continues to rise globally and obesity is a significant risk factor for cardiometabolic diseases. However, to our knowledge, evidence of the relative roles of genes and the environment underlying obesity and cardiometabolic disease t...

Descripción completa

Detalles Bibliográficos
Autores principales: Hong, Xuanming, Wu, Zhiyu, Cao, Weihua, Lv, Jun, Yu, Canqing, Huang, Tao, Sun, Dianjianyi, Liao, Chunxiao, Pang, Yuanjie, Pang, Zengchang, Cong, Liming, Wang, Hua, Wu, Xianping, Liu, Yu, Gao, Wenjing, Li, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824881/
https://www.ncbi.nlm.nih.gov/pubmed/36615821
http://dx.doi.org/10.3390/nu15010164
_version_ 1784866519051665408
author Hong, Xuanming
Wu, Zhiyu
Cao, Weihua
Lv, Jun
Yu, Canqing
Huang, Tao
Sun, Dianjianyi
Liao, Chunxiao
Pang, Yuanjie
Pang, Zengchang
Cong, Liming
Wang, Hua
Wu, Xianping
Liu, Yu
Gao, Wenjing
Li, Liming
author_facet Hong, Xuanming
Wu, Zhiyu
Cao, Weihua
Lv, Jun
Yu, Canqing
Huang, Tao
Sun, Dianjianyi
Liao, Chunxiao
Pang, Yuanjie
Pang, Zengchang
Cong, Liming
Wang, Hua
Wu, Xianping
Liu, Yu
Gao, Wenjing
Li, Liming
author_sort Hong, Xuanming
collection PubMed
description Background: The prevalence of obesity and cardiometabolic diseases continues to rise globally and obesity is a significant risk factor for cardiometabolic diseases. However, to our knowledge, evidence of the relative roles of genes and the environment underlying obesity and cardiometabolic disease traits and the correlations between them are still lacking, as is how they change with age. Method: Data were obtained from the Chinese National Twin Registry (CNTR). A total of 1421 twin pairs were included. Univariate structural equation models (SEMs) were performed to evaluate the heritability of BMI and cardiometabolic traits, which included blood hemoglobin A1c (HbA1c), fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglycerides (TGs), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Bivariate SEMs were used to assess the genetic/environmental correlations between them. The study population was divided into three groups for analysis: ≤50, 51–60, and >60 years old to assess the changes in heritability and genetic/environmental correlations with ageing. Results: Univariate SEMs showed a high heritability of BMI (72%) and cardiometabolic traits, which ranged from 30% (HbA1c) to 69% (HDL-C). With age increasing, the heritability of all phenotypes has different degrees of declining trends. Among these, BMI, SBP, and DBP presented significant monotonous declining trends. The bivariate SEMs indicated that BMI correlated with all cardiometabolic traits. The genetic correlations were estimated to range from 0.14 (BMI and LDL-C) to 0.39 (BMI and DBP), while the environmental correlations ranged from 0.13 (BMI and TC/LDL-C) to 0.31 (BMI and TG). The genetic contributions underlying the correlations between BMI and SBP and DBP, TC, TG, and HDL-C showed a progressive decrease as age groups increased. In contrast, environmental correlations displayed a significant increasing trend for HbA1c, SBP, and DBP. Conclusions: The findings suggest that genetic and environmental factors have essential effects on BMI and all cardiometabolic traits. However, as age groups increased, genetic influences presented varying degrees of decrement for BMI and most cardiometabolic traits, suggesting the increasing importance of environments. Genetic factors played a consistently larger role than environmental factors in the phenotypic correlations between BMI and cardiometabolic traits. Nevertheless, the relative magnitudes of genetic and environmental factors may change over time.
format Online
Article
Text
id pubmed-9824881
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-98248812023-01-08 Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age Hong, Xuanming Wu, Zhiyu Cao, Weihua Lv, Jun Yu, Canqing Huang, Tao Sun, Dianjianyi Liao, Chunxiao Pang, Yuanjie Pang, Zengchang Cong, Liming Wang, Hua Wu, Xianping Liu, Yu Gao, Wenjing Li, Liming Nutrients Article Background: The prevalence of obesity and cardiometabolic diseases continues to rise globally and obesity is a significant risk factor for cardiometabolic diseases. However, to our knowledge, evidence of the relative roles of genes and the environment underlying obesity and cardiometabolic disease traits and the correlations between them are still lacking, as is how they change with age. Method: Data were obtained from the Chinese National Twin Registry (CNTR). A total of 1421 twin pairs were included. Univariate structural equation models (SEMs) were performed to evaluate the heritability of BMI and cardiometabolic traits, which included blood hemoglobin A1c (HbA1c), fasting blood glucose (FBG), systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglycerides (TGs), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C). Bivariate SEMs were used to assess the genetic/environmental correlations between them. The study population was divided into three groups for analysis: ≤50, 51–60, and >60 years old to assess the changes in heritability and genetic/environmental correlations with ageing. Results: Univariate SEMs showed a high heritability of BMI (72%) and cardiometabolic traits, which ranged from 30% (HbA1c) to 69% (HDL-C). With age increasing, the heritability of all phenotypes has different degrees of declining trends. Among these, BMI, SBP, and DBP presented significant monotonous declining trends. The bivariate SEMs indicated that BMI correlated with all cardiometabolic traits. The genetic correlations were estimated to range from 0.14 (BMI and LDL-C) to 0.39 (BMI and DBP), while the environmental correlations ranged from 0.13 (BMI and TC/LDL-C) to 0.31 (BMI and TG). The genetic contributions underlying the correlations between BMI and SBP and DBP, TC, TG, and HDL-C showed a progressive decrease as age groups increased. In contrast, environmental correlations displayed a significant increasing trend for HbA1c, SBP, and DBP. Conclusions: The findings suggest that genetic and environmental factors have essential effects on BMI and all cardiometabolic traits. However, as age groups increased, genetic influences presented varying degrees of decrement for BMI and most cardiometabolic traits, suggesting the increasing importance of environments. Genetic factors played a consistently larger role than environmental factors in the phenotypic correlations between BMI and cardiometabolic traits. Nevertheless, the relative magnitudes of genetic and environmental factors may change over time. MDPI 2022-12-29 /pmc/articles/PMC9824881/ /pubmed/36615821 http://dx.doi.org/10.3390/nu15010164 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hong, Xuanming
Wu, Zhiyu
Cao, Weihua
Lv, Jun
Yu, Canqing
Huang, Tao
Sun, Dianjianyi
Liao, Chunxiao
Pang, Yuanjie
Pang, Zengchang
Cong, Liming
Wang, Hua
Wu, Xianping
Liu, Yu
Gao, Wenjing
Li, Liming
Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title_full Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title_fullStr Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title_full_unstemmed Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title_short Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age
title_sort cardiometabolic traits in adult twins: heritability and bmi impact with age
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9824881/
https://www.ncbi.nlm.nih.gov/pubmed/36615821
http://dx.doi.org/10.3390/nu15010164
work_keys_str_mv AT hongxuanming cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT wuzhiyu cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT caoweihua cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT lvjun cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT yucanqing cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT huangtao cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT sundianjianyi cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT liaochunxiao cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT pangyuanjie cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT pangzengchang cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT congliming cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT wanghua cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT wuxianping cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT liuyu cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT gaowenjing cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage
AT liliming cardiometabolictraitsinadulttwinsheritabilityandbmiimpactwithage