Shared genetic contributions to pathological gambling and major depression in men
Shared genetic contributions to pathological gambling and major depression in men
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DOI：
10.1001/archpsyc.62.9.1015
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发表时间：
2005-09-01
影响因子：
--
通讯作者：
Eisen, SA
中科院分区：
文献类型：
--
作者：
Potenza, MN;Xian, H;Eisen, SA
背景：虽然病理性赌博 (PG) 和重度抑郁症 (MD) 经常同时发生，但人们对环境和遗传因素对这些疾病共同发展的相对影响知之甚少。目标：根据 DSM-III-R 的定义，估计环境和遗传因素对 PG 和 MD 的影响以及 PG 和 MD 的终生同时发生。设计：在生物识别模型中检查越南时代双胞胎登记处的调查数据。设置：电话访谈参与者：10 253 名符合条件的参与者，7869 人成功接受了采访。主要结果指标：估计遗传、共同环境和独特环境对 PG 和 MD 的贡献以及它们在双变量模型中的终生共现情况。结果：MD 的比值比升高与 PG 的比值比相关（4.06；95% 置信区间，2.68-6.13），并且在调整社会人口学和其他精神变量后，这种关联仍然显着（优势比 = 1.98；95% 置信区间，1.14-3.45）。最佳拟合双变量模型表明，PG 中 66% 的方差和 MD 中 41% 的方差是由于遗传因素造成的，PG 中 34% 的方差和 MD 中 59% 的方差是由于独特的环境因素造成的。 PG 和 MD 的遗传成分之间存在显着相关性 (r(A) = 0.58)，每种疾病的 34% 的遗传变异也会影响另一种疾病的遗传变异。最佳拟合模型估计 PG 和 MD 之间 100% 的重叠是遗传因素。结论：中年男性 PG 和 MD 之间的相关性似乎很大程度上受到重叠遗传因素的影响。未来的研究需要确定这些发现在多大程度上适用于其他群体（例如女性），识别特定基因，并制定改进的预防和治疗策略。
Context: Although pathological gambling (PG) and major depression (MD) frequently co-occur, little is known regarding the relative contributions of environmental and genetic factors to the codevelopment of the disorders.Objectives: To estimate environmental and genetic contributions to PG and MD as defined in DSM-III-R and the lifetime co-occurrence of PG and MD.Design: Survey data from the Vietnam Era Twin Registry were examined in biometric models.Setting: Telephone interviewParticipants: Of 10 253 eligible participants, 7869 were successfully interviewed.Main Outcome Measures: Estimated genetic, shared environmental, and unique environmental contributions to PG and MD and their lifetime co-occurrence in bivariate models.Results: Elevated odds ratios for MD were associated with those of PG (4.06; 95 % confidence interval, 2.68-6.13), and the association remained significant following adjustment for sociodemographic and other psychiatric variables (odds ratio = 1.98; 95 % confidence interval, 1.14-3.45). The best-fitting bivariate model indicated that 66 % of the variance in PG and 41 % of the variance in MD were owing to genetic factors, and 34 % of the variance in PG and 59 % of the variance in MD were owing to unique environmental factors. There was a substantial correlation between the genetic components of PG and MD (r(A) = 0.58), with 34 % of the genetic variance for each disorder also contributing to that of the other. The best-fitting model estimated that 100 % of the total overlap between PG and MD was genetic.Conclusions: The correlation between PG and MD in middle-aged men appears to be largely influenced by overlapping genetic factors. Future research is needed to determine the extent to which these findings extend to other groups (eg, women), identify specific genes, and generate improved prevention and treatment strategies.