The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, Peoples Republic of China; School of Nursing, Xinxiang Medical University, 453000 Xinxiang, Peoples Republic of China.
The Department of Child, Adolescence and Woman Health Care, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, Peoples Republic of China.
J Affect Disord. 2018 Jan 1;225:374-380. doi: 10.1016/j.jad.2017.08.052. Epub 2017 Aug 22.
Genetic predisposition is an important factor leading to aggressive behavior. However, the relationship between genetic polymorphisms and aggressive behavior has not been elucidated.
We identified candidate genes located in the dopaminergic and serotonin system (DRD3, DRD4, and FEV) that had been previously reported to be associated with aggressive behavior. We investigated 14 tag single-nucleotide polymorphisms (SNPs) using a multi-analytic strategy combining logistic regression (LR) and classification and regression tree (CART) to explore higher-order interactions between these SNPs and aggressive behavior in 318 patients and 558 controls.
Both LR and CART analyses suggested that the rs16859448 polymorphism is the strongest individual factor associated with aggressive behavior risk. In CART analysis, individuals carrying the combined genotypes of rs16859448TT/GT-rs11246228CT/TT-rs3773679TT had the highest risk, while rs16859448GG-rs2134655CT had the lowest risk (OR = 5.25, 95% CI: 2.53-10.86).
This study adds to the growing evidence on the association of single- and multiple-risk variants in DRD3, DRD4, and FEV with aggressive behavior in Chinese adolescents. However, the aggressive behavior scale used to diagnose aggression in this study did not account for comorbid conditions; therefore, further studies are needed to confirm our observations.
遗传易感性是导致攻击行为的重要因素。然而，遗传多态性与攻击行为之间的关系尚未阐明。
我们确定了位于多巴胺能和 5-羟色胺能系统（DRD3、DRD4 和 FEV）中的候选基因，这些基因先前已被报道与攻击行为有关。我们使用逻辑回归（LR）和分类回归树（CART）相结合的多分析策略，对 318 名患者和 558 名对照者中的 14 个标签单核苷酸多态性（SNP）进行了研究，以探索这些 SNP 与攻击行为之间的高阶相互作用。
LR 和 CART 分析均表明，rs16859448 多态性是与攻击行为风险相关的最强个体因素。在 CART 分析中，携带 rs16859448TT/GT-rs11246228CT/TT-rs3773679TT 联合基因型的个体具有最高的风险，而 rs16859448GG-rs2134655CT 具有最低的风险（OR=5.25，95%CI：2.53-10.86）。
本研究增加了越来越多的证据表明，DRD3、DRD4 和 FEV 中的单风险和多风险变异与中国青少年的攻击行为有关。然而，本研究用于诊断攻击行为的攻击行为量表没有考虑到合并症；因此，需要进一步的研究来证实我们的观察结果。
