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Possible association between SIRT1 single nucleotide polymorphisms and predisposition to antisocial personality traits in Chinese adolescents
Chang, Hongjuan Yan, Qiuge Tang, Jie Huang, Juan Zhang, Yanmei Ma, Yuqiao Ye, Xiaozhou Tang, Lina Wu, Linguo Wu, Chunxia
Chang, Hongjuan
Yan, Qiuge
Tang, Jie
Huang, Juan
Zhang, Yanmei
Ma, Yuqiao
Ye, Xiaozhou
Tang, Lina
Wu, Linguo
Wu, Chunxia
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2017-04-24
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Abstract
Accumulating evidence suggests an association between the SIRT1 gene and human psychiatric disorders. The aim of the study was to investigate the association between SIRT1 and predisposition to antisocial personality traits (ASP) in Chinese adolescents. Participants consisted of 327 controls and 261 juvenile offenders who were diagnosed with predisposition to ASP according to the Personality Diagnostic Questionnaire. Four tag single nucleotide polymorphisms (tagSNPs) of SIRT1, namely rs12778366, rs7896005, rs10823112, and rs4746720, were genotyped. Association analysis between individual SNPs and ASP risk revealed the CC genotype of rs4746720 to be significantly associated with reduced risk of ASP (OR = 0.51, 95% CI = 0.33–0.77, adjusted P = 0.007). Haplotype analysis showed the TAAC haplotype was associated with reduced susceptibility to ASP (OR = 0.72, 95% CI = 0.57–0.91, P = 0.005). Moreover, rs4746720 variants were found to not only have a direct impact on ASP susceptibility but also modulate the effect of alcohol consumption (Y = 0.022X + 0.431 vs. Y = −0.066X + 0.387). The present study is the first to report a significant association between SIRT1 polymorphisms and ASP in adolescents. This finding is expected to aid in the development of effective interventions for this socially and personally costly disorder.
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Chang, H. et al. (2017) Possible association between SIRT1 single nucleotide polymorphisms and predisposition to antisocial personality traits in Chinese adolescents, Scientific Reports 7 (2017), https://doi.org/10.1038/s41598-017-01208-2.
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en
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2045-2322
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2045-2322
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The study was supported by the National Natural Science Foundation of China (grant number: 81373022 and 81573172).