Title |
An association study of Taq1A ANKK1 and C957T and − 141C DRD2 polymorphisms in adults with internet gaming disorder: a pilot study
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Published in |
Annals of General Psychiatry, December 2017
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DOI | 10.1186/s12991-017-0168-9 |
Pubmed ID | |
Authors |
Soo-Hyun Paik, Mi Ran Choi, Su Min Kwak, Sol Hee Bang, Ji-Won Chun, Jin-Young Kim, Jihye Choi, Hyun Cho, Jo-Eun Jeong, Dai-Jin Kim |
Abstract |
Though Internet gaming disorder (IGD) is considered to share similar genetic vulnerability with substance addictions, little has been explored about the role of the genetic variants on IGD. This pilot study was designed to investigate the association of the Taq1A polymorphism of the ankyrin repeat and kinase domain containing 1 (ANKK1) gene and C957T and - 141C of the dopamine D2 receptor (DRD2) with IGD and their role on the personality and temperament traits in IGD among adult population. Sixty-three subjects with IGD and 87 control subjects who regularly played Internet games were recruited. Self-administered questionnaires on self-control, dysfunctional impulsivity, and temperament and character domains were done. The Taq1A ANKK1 and the C957T and - 141C ins/del from the DRD2 genes were genotyped using the specific TaqMan PCR assay. The distributions of allele and genotype frequencies were not significantly different between the IGD and control groups in both genders. In male, excessive gaming and use of gaming to escape from a negative feeling were associated with the del- genotype of the - 141C. Among IGD, the del+ genotype was associated with higher novelty seeking. Logistic regression showed no predictive value of these polymorphisms for IGD when using age and gender as covariates. Though no direct association of the Taq1A ANKK1 and C957T DRD2 variants with IGD were observed, the - 141C polymorphism may play a role in IGD via mediating symptoms or temperament traits. |
X Demographics
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United States | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 16% |
Student > Postgraduate | 5 | 12% |
Student > Master | 5 | 12% |
Student > Bachelor | 5 | 12% |
Professor | 2 | 5% |
Other | 10 | 23% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
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Psychology | 12 | 28% |
Medicine and Dentistry | 8 | 19% |
Neuroscience | 4 | 9% |
Biochemistry, Genetics and Molecular Biology | 3 | 7% |
Agricultural and Biological Sciences | 2 | 5% |
Other | 6 | 14% |
Unknown | 8 | 19% |