| Title |
Heritability of Smoking Initiation and Nicotine Dependence
|
|---|---|
| Published in |
Behavior Genetics, July 2005
|
| DOI | 10.1007/s10519-004-1327-8 |
| Pubmed ID | |
| Authors |
Jacqueline M. Vink, Gonneke Willemsen, Dorret I. Boomsma |
| Abstract |
In contrast to other aspects of smoking behavior, little attention has been paid to the genetics of nicotine dependence. In this paper, three models (single liability dimension, independent liability dimension and combined model) have been applied to data on smoking initiation and nicotine dependence (n = 1572 Dutch twin pairs, mean age 30.5). A combined model best described the data. This model postulates a smoking initiation dimension and a nicotine dependence dimension, which are not independent. For both males and females, individual differences in smoking initiation were explained by genetic (44%), shared environmental (51%) and unique environmental (5%) influences. The nicotine dependence dimension was influenced only by genetic (75%) and unique environmental (25%) factors. The substantial impact of genetic factors on nicotine dependence emphasizes the need for further research to localize and identify specific genes and pathways involved in nicotine dependence. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Netherlands | 1 | <1% |
| Germany | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 140 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 21% |
| Researcher | 25 | 17% |
| Student > Master | 20 | 14% |
| Student > Doctoral Student | 10 | 7% |
| Professor > Associate Professor | 9 | 6% |
| Other | 32 | 22% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 24 | 16% |
| Agricultural and Biological Sciences | 19 | 13% |
| Medicine and Dentistry | 18 | 12% |
| Neuroscience | 17 | 12% |
| Biochemistry, Genetics and Molecular Biology | 11 | 8% |
| Other | 29 | 20% |
| Unknown | 28 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 18 October 2023.
All research outputs
#2,354,308
of 26,017,215 outputs
Outputs from Behavior Genetics
#126
of 1,012 outputs
Outputs of similar age
#3,911
of 69,923 outputs
Outputs of similar age from Behavior Genetics
#1
of 3 outputs
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