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Wang B, Wu T, Neale MC, Verweij R, Liu G, Su S, Snieder H. Genetic and Environmental Influences on Blood Pressure and Body Mass Index in the National Academy of Sciences-National Research Council World War II Veteran Twin Registry. Hypertension 2020; 76:1428-1434. [PMID: 32981367 PMCID: PMC7535104 DOI: 10.1161/hypertensionaha.120.15232] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Supplemental Digital Content is available in the text. Blood pressure (BP) and obesity phenotypes may covary due to shared genetic or environmental factors or both. Furthermore, it is possible that the heritability of BP differs according to obesity status—a form of G×E interaction. This hypothesis has never been tested in White twins. The present study included 15 924 White male twin pairs aged between 15 and 33 years from the National Academy of Sciences–National Research Council World War II Veteran Twin Registry. Systolic and diastolic BPs, as well as height and weight, were measured at the induction physical examination. Body mass index (BMI) was used as the index of general obesity. Quantitative genetic modeling was performed using Mx software. Univariate analysis showed that narrow sense heritabilities (95% CI) for systolic BP, diastolic BP, height, and BMI were 0.401 (0.381–0.420), 0.297 (0.280–0.320), 0.866 (0.836–0.897), and 0.639 (0.614–0.664), respectively. Positive phenotypic correlations of BMI with systolic BP (r=0.13) and diastolic BP (r=0.08) were largely due to genetic factors (70% and 86%, respectively). The gene-BMI interaction analysis did not show any support for a modifying effect of BMI on genetic and environmental influences of systolic BP and diastolic BP. Our results suggest that correlations between BP and BMI are mainly explained by common genes influencing both. Higher BMI levels have no influence on the penetrance of genetic vulnerability to elevated BP. These conclusions may prove valuable for gene-finding studies.
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Affiliation(s)
- Bin Wang
- From the Department of Epidemiology, University of Groningen, University Medical Center Groningen, the Netherlands (B.W., T.W., R.V., G.L., H.S.)
| | - Ting Wu
- From the Department of Epidemiology, University of Groningen, University Medical Center Groningen, the Netherlands (B.W., T.W., R.V., G.L., H.S.)
| | - Michael C Neale
- Department of Human and Molecular Genetics (M.C.N.), Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond.,Department of Psychiatry (M.C.N.), Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond
| | - Renske Verweij
- From the Department of Epidemiology, University of Groningen, University Medical Center Groningen, the Netherlands (B.W., T.W., R.V., G.L., H.S.)
| | - Gaifen Liu
- From the Department of Epidemiology, University of Groningen, University Medical Center Groningen, the Netherlands (B.W., T.W., R.V., G.L., H.S.).,Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, China (G.L.)
| | - Shaoyong Su
- Georgia Prevention Institute, Medical College of Georgia, Augusta University (S.S., H.S.)
| | - Harold Snieder
- From the Department of Epidemiology, University of Groningen, University Medical Center Groningen, the Netherlands (B.W., T.W., R.V., G.L., H.S.).,Georgia Prevention Institute, Medical College of Georgia, Augusta University (S.S., H.S.)
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Associations Between Obesity Indicators and Blood Pressure in Chinese Adult Twins. Twin Res Hum Genet 2017; 20:28-35. [DOI: 10.1017/thg.2016.95] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Obesity is associated with blood pressure (BP), but the associations between different obesity indicators and BP have not reached agreement. Besides, both obesity and BP are influenced by genetic and environmental factors. Whether they share the same genetic or environmental etiology has not been fully understood. We therefore analyzed the relationship between different obesity indicators and BP components as well as the genetic and environmental contributions to these relationships in a Chinese adult twin sample. Twins aged 18–79 years (n = 941) were included in this study. Body mass index (BMI) was used as the index of general obesity, whereas waist circumference (WC), waist-to-height ratio (WHtR), and waist-to-hip ratio (WHR) were used as the indicators of central obesity. BP components included systolic blood pressure (SBP) and diastolic blood pressure (DBP). Linear regression models and bivariate structural equation models were used to examine the relation of various obesity indicators with BP components, and genetic or environmental influences on these associations, respectively. A strong association of BP components with BMI—and a somewhat weaker association with WC, WHtR, and WHR—was found in both sexes, independent of familial factors. Of these phenotypic correlations between obesity indicators and BP components, 60–76% were attributed to genetic factors, whereas 24–40% were attributed to unique environmental factors. General obesity was most strongly associated with high BP in Chinese adult twins. There were common genetic backgrounds for obesity and BP, and unique environmental factors also played a role.
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Davies MA, Terhorst L, Nakonechny AJ, Skukla N, El Saadawi G. The development and effectiveness of a health information website designed to improve parents' self-efficacy in managing risk for obesity in preschoolers. J SPEC PEDIATR NURS 2014; 19:316-30. [PMID: 25160030 DOI: 10.1111/jspn.12086] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2014] [Revised: 07/23/2014] [Accepted: 07/24/2014] [Indexed: 12/14/2022]
Abstract
PURPOSE To evaluate the effects of web-based information on parental self-efficacy in managing obesity risk in preschoolers. DESIGN AND METHODS The project included a literature review and the development and field testing of an information website that presented information on how to manage nine obesity risk factors for childhood obesity. RESULTS Parents stated that they had no problems using the website, and 69% reported improved self-efficacy on at least two risk factors. PRACTICE IMPLICATIONS Many parents access the Internet to obtain health information. A website that offers practical information on managing childhood obesity risk factors is a valuable resource for obesity prevention efforts.
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Affiliation(s)
- Marilyn A Davies
- Department of Health and Community Systems, School of Nursing, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
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Association of body mass index with arterial stiffness and blood pressure components: A twin study. Atherosclerosis 2013; 229:388-95. [DOI: 10.1016/j.atherosclerosis.2013.05.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2012] [Revised: 04/12/2013] [Accepted: 05/03/2013] [Indexed: 11/21/2022]
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Elks CE, den Hoed M, Zhao JH, Sharp SJ, Wareham NJ, Loos RJF, Ong KK. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne) 2012; 3:29. [PMID: 22645519 PMCID: PMC3355836 DOI: 10.3389/fendo.2012.00029] [Citation(s) in RCA: 413] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2011] [Accepted: 02/07/2012] [Indexed: 12/28/2022] Open
Abstract
Evidence for a major role of genetic factors in the determination of body mass index (BMI) comes from studies of related individuals. Despite consistent evidence for a heritable component of BMI, estimates of BMI heritability vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified 88 independent estimates of BMI heritability from twin studies (total 140,525 twins) and 27 estimates from family studies (42,968 family members). BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87) and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68). Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P = 0.001) higher in children than in adults; estimates increased with mean age among childhood studies (+0.012/year, P = 0.002), but decreased with mean age in adult studies (-0.002/year, P = 0.002). Heritability estimates derived from AE twin models (which assume no contribution of shared environment) were 0.12 higher than those from ACE models (P < 0.001), whilst lower estimates were associated with self reported versus DNA-based determination of zygosity (-0.04, P = 0.02), and with self reported versus measured BMI (-0.05, P = 0.03). Although the observed differences in heritability according to aspects of study design are relatively small, together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.
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Affiliation(s)
- Cathy E. Elks
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Marcel den Hoed
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Jing Hua Zhao
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Stephen J. Sharp
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Nicholas J. Wareham
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Ruth J. F. Loos
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
| | - Ken K. Ong
- Medical Research Council Epidemiology Unit, Institute of Metabolic ScienceCambridge, UK
- Department of Paediatrics, University of CambridgeCambridge, UK
- *Correspondence: Ken K. Ong, Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital Box 285, Cambridge CB2 0QQ, UK. e-mail:
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Genetic and environmental influences on blood pressure and body mass index in Han Chinese: a twin study. Hypertens Res 2010; 34:173-9. [PMID: 21048779 DOI: 10.1038/hr.2010.194] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
The familial aggregation of blood pressure (BP) may be partly due to the familial aggregation of obesity, caused by genetic and/or environmental factors that influence both. Gene-obesity interactions are expected to result in different heritability estimates for BP at different obesity levels. However, the latter hypothesis has never been tested. The present study included 1243 monozygotic and 833 dizygotic Han Chinese twins (mean±s.d. age: 37.81 ± 9.82; range: 19.1-81.4) from the Chinese National Twin Registry. Body mass index (BMI) was used as the index of general obesity. The outcome measures were systolic BP (SBP) and diastolic BP (DBP). Quantitative genetic modeling was performed using Mx software. The SBP and DBP heritabilities were 46 and 30%, respectively. The positive correlations of BMI with SBP (r=0.26) and with DBP (r=0.27) were largely due to genetic factors (approximately 85%). Genetic factors, which also influence BMI, account for 6 and 7% of the total variance for SBP and DBP, respectively. The gene-obesity interaction analysis showed that both common and unique environmental influences on SBP increased with increasing levels of BMI, resulting in a lower heritability at higher BMI levels, whereas for DBP the heritability remained unchanged at higher BMI levels. Our results suggest that higher BMIs may reduce SBP heritability through a larger impact of environmental effects. These conclusions may be valuable for gene-finding studies.
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Lee J, Chen L, Snieder H, Chen DF, Lee LM, Liu GF, Wu T, Tang X, Zhan SY, Cao WH, Lv J, Gao WJ, Hu YH. Heritability of Obesity-related Phenotypes and Association with Adiponectin Gene Polymorphisms in the Chinese National Twin Registry. Ann Hum Genet 2010; 74:146-54. [DOI: 10.1111/j.1469-1809.2010.00565.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
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Duncan AE, Agrawal A, Grant JD, Bucholz KK, Madden PAF, Heath AC. Genetic and environmental contributions to BMI in adolescent and young adult women. Obesity (Silver Spring) 2009; 17:1040-3. [PMID: 19165159 PMCID: PMC2674142 DOI: 10.1038/oby.2008.643] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The objective of this study was to determine the genetic and environmental contributions to variation in BMI over time in European-American (EA) and African-American (AA) adolescent and young adult women. Self-reported BMI (kg/m(2)) data from 2,816 EA (1,306 twin pairs, 56.5% monozygotic (MZ)) and 404 AA (178 twin pairs, 42.7% MZ) women at baseline (T1; median age 15 years) and 3,225 EA (1,511 twin pairs, 55.3% MZ) and 539 AA (252 pairs, 43.3% MZ) women at follow-up (T2; median age 22 years) from a Midwestern US, population-based twin registry were used to construct biometrical genetic models. For EA women, the majority of the variance in BMI was attributable to additive genetic effects at both time points (82% for each), with the remaining variance attributable to nonshared environment. Genetic and nonshared environment correlations between adolescent and young adult BMI were 0.87 and 0.23, respectively. Among AA women, nonadditive genetic effects comprised 68% of the variance at T1 and 73% at T2, and were highly correlated (r(D) = 0.94). The proportions of variance attributable to nonshared environment at T1 (29%) and T2 (25%) were more modestly correlated (r(E) = 0.31). The remaining variance in AA women could be attributed to additive genetic effects. Additive vs. nonadditive genetic effects contribute differentially to BMI in AA vs. EA adolescent and young adult women. Additional research is needed to better characterize the environmental and genetic factors related to BMI in persons of different races to aid understanding of the complex determinants of body weight in individuals.
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Affiliation(s)
- Alexis E Duncan
- Midwest Alcoholism Research Center, Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
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Mustelin L, Silventoinen K, Pietiläinen K, Rissanen A, Kaprio J. Physical activity reduces the influence of genetic effects on BMI and waist circumference: a study in young adult twins. Int J Obes (Lond) 2008; 33:29-36. [PMID: 19048013 DOI: 10.1038/ijo.2008.258] [Citation(s) in RCA: 105] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Both obesity and exercise behavior are influenced by genetic and environmental factors. However, whether obesity and physical inactivity share the same genetic vs environmental etiology has rarely been studied. We therefore analyzed these complex relationships, and also examined whether physical activity modifies the degree of genetic influence on body mass index (BMI) and waist circumference (WC). METHODS The FinnTwin16 Study is a population-based, longitudinal study of five consecutive birth cohorts (1975-1979) of Finnish twins. Data on height, weight, WC and physical activity of 4343 subjects at the average age of 25 (range, 22-27 years) years were obtained by a questionnaire and self-measurement of WC. Quantitative genetic analyses based on linear structural equations were carried out by the Mx statistical package. The modifying effect of physical activity on genetic and environmental influences was analyzed using gene-environment interaction models. RESULTS The overall heritability estimates were 79% in males and 78% in females for BMI, 56 and 71% for WC and 55 and 54% for physical activity, respectively. There was an inverse relationship between physical activity and WC in males (r = -0.12) and females (r=-0.18), and between physical activity and BMI in females (r = -0.12). Physical activity significantly modified the heritability of BMI and WC, with a high level of physical activity decreasing the additive genetic component in BMI and WC. CONCLUSIONS Physically active subjects were leaner than sedentary ones, and physical activity reduced the influence of genetic factors to develop high BMI and WC. This suggests that the individuals at greatest genetic risk for obesity would benefit the most from physical activity.
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Affiliation(s)
- L Mustelin
- Department of Public Health, Twin Research Unit, University of Helsinki, Helsinki, Finland.
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