| Title |
Genetic and Environmental Influences on Obesity-Related Phenotypes in Chinese Twins Reared Apart and Together
|
|---|---|
| Published in |
Behavior Genetics, March 2015
|
| DOI | 10.1007/s10519-015-9711-0 |
| Pubmed ID | |
| Authors |
Bin Zhou, Wenjing Gao, Jun Lv, Canqing Yu, Shengfeng Wang, Chunxiao Liao, Zengchang Pang, Liming Cong, Zhong Dong, Fan Wu, Hua Wang, Xianping Wu, Guohong Jiang, Xiaojie Wang, Binyou Wang, Weihua Cao, Liming Li |
| Abstract |
The relative importance of genetic and environmental influences on obesity-related phenotypes remains unclear, and few studies have targeted the Chinese population. Here, we used Chinese twins reared apart and together to explore genetic and environmental influences on body mass index (BMI), waist circumference (WC) and waist-height ratio (WHtR), further to differentiate phenotype heritability between different age groups and genders separately and to differentiate influences of rearing environment and correlated environment. Phenotype heritability was calculated using the structural equation model in 11,401 twin pairs aged 25-85 years. BMI (0.70, 95 % confidence interval (CI) 0.66-0.74) of the total population was highly heritable, while WC (0.53, 95 %CI 0.50-0.57) and WHtR (0.48, 95 %CI 0.45-0.51) were moderately heritable. Age and gender stratified analyses found higher heritability in the younger group and males than the older group and females. The correlated environment had a greater influence on the phenotypes than the rearing environment, especially on WC and WHtR, indicating that more correlated environment actions should be taken to prevent the rising trend of abdominal obesity. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 16% |
| United States | 1 | 5% |
| Germany | 1 | 5% |
| Denmark | 1 | 5% |
| Unknown | 13 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 84% |
| Scientists | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Student > Master | 3 | 13% |
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Lecturer | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 35% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Psychology | 3 | 13% |
| Agricultural and Biological Sciences | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 4 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2022.
All research outputs
#3,472,024
of 25,711,998 outputs
Outputs from Behavior Genetics
#179
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Outputs of similar age
#42,019
of 275,243 outputs
Outputs of similar age from Behavior Genetics
#4
of 13 outputs
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