ArticleNutrients2022
Cardiometabolic Traits in Adult Twins: Heritability and BMI Impact with Age.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Vitamin D and human health: evidence from Mendelian randomization studies.European journal of epidemiology · 2024Pooled it
- Revealing genetic foundations underlying cardiometabolic traits: integrating twin and GWAS data in Asian populations.International journal of obesity (2005) · 2026Article
- Association of dietary patterns with the prevalence of rheumatic diseases among older Chinese adults: a national cross-sectional survey.Clinical rheumatology · 2026Article
- Bifidobacterium longum subsp. infantis CCFM1445 Promotes Bone Growth in Growing Mice Via Modulating Gut Microbiota and Arginine Metabolism Pathway.Probiotics and antimicrobial proteins · 2026Article
- Exploring the Role of Gut Microbiota in Chronic Spontaneous Urticaria: Mechanisms and Potential Therapeutic Implications.Probiotics and antimicrobial proteins · 2026Review
- Article
- Genetic determinants of BMI, diet, and fitness interact to partially explain anthropometric obesity traits but not the metabolic consequences of obesity in men and women.International journal of obesity (2005) · 2026Article
- Can Nutrition Modulate the Progression of Alzheimer's Disease? A Narrative Review.Current nutrition reports · 2026Review
- Longitudinal associations between changes in muscle strength, muscle mass, and physical performance and health-related quality of life in older adults: a four-year analysis from the SarcoPhAge cohort.European geriatric medicine · 2026Article
- Aging influences protein digestion, absorption and amino acid metabolism.Biogerontology · 2025Review
- Review
- The Relationship of Certain Diseases and Dietary Inflammatory Index in Older Adults: A Narrative Review.Current nutrition reports · 2024Review
- Fish oil supplementation during pregnancy decreases liver endocannabinoid system and lipogenic markers in newborn rats exposed to maternal high-fat diet.European journal of nutrition · 2024Article
- Abdominal aortic aneurysm and cardiometabolic traits share strong genetic susceptibility to lipid metabolism and inflammation.Nature communications · 2024Article
- How Do Genetic and Environmental Factors Influence Cardiometabolic Risk Factors? Findings from the Isfahan Twins Study.Journal of research in health sciences · 2024Article
Corrections and comments
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Authors and funding
16 authors at 6 institutions in 1 country.
Funding
Abstract
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.
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Registered trials
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