Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands.
Department of Psychiatry, Amsterdam UMC, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands.
Drug Alcohol Depend. 2021 Mar 1;220:108535. doi: 10.1016/j.drugalcdep.2021.108535. Epub 2021 Jan 19.
A recent study investigated the genetic associations and latent genetic structure among eight psychiatric disorders using findings from genome-wide association studies (GWASs). No data from substance use disorders were included, while these represent an important category of mental disorders and could influence the latent genetic structure. We extended the original paper by recreating the genetic relationship matrix, graph, and latent genetic factor structure, including additional data from substance use disorders.
We used GWAS summary statistics of 11 psychiatric disorders, including alcohol dependence, nicotine dependence, and cannabis use disorder. We estimated genetic correlations between all traits in Linkage Disequilibrium-Score Regression. A graph was created to illustrate the network of genetic correlations. We then used the genetic relationships to model a latent genetic factor structure.
Alcohol and nicotine dependence showed significant genetic correlations with several other psychiatric disorders, including ADHD, schizophrenia, and major depression. Cannabis use disorder was only significantly associated with ADHD. The addition of substance use disorders resulted in some changes in the latent structure of the factor model when compared to the original model including eight disorders. All substance use disorders contributed mostly to Factor 3, a heterogeneous factor with also loadings from ADHD, major depression, Autism Spectrum Disorders, and Tourette Syndrome.
Alcohol and nicotine dependence show widespread genetic correlations with other psychiatric disorders. Including substance use disorders in the factor analysis results in some changes in the underlying genetic factor structure. Given the instability of such models, identified structures should be interpreted with caution.
最近的一项研究利用全基因组关联研究（GWAS）的结果，调查了八种精神疾病的遗传关联和潜在遗传结构。研究中没有包括物质使用障碍的数据，而这些数据代表了一类重要的精神疾病，可能会影响潜在的遗传结构。我们通过重新创建遗传关系矩阵、图谱和潜在遗传因子结构，包括来自物质使用障碍的额外数据，扩展了原始论文。
我们使用了 11 种精神疾病的 GWAS 汇总统计数据，包括酒精依赖、尼古丁依赖和大麻使用障碍。我们使用连锁不平衡-评分回归估计了所有特征之间的遗传相关性。创建了一个图谱来展示遗传相关性网络。然后，我们使用遗传关系来模拟潜在的遗传因子结构。
酒精和尼古丁依赖与其他几种精神疾病，包括 ADHD、精神分裂症和重度抑郁症，存在显著的遗传相关性。大麻使用障碍仅与 ADHD 显著相关。与包括八种疾病的原始模型相比，添加物质使用障碍后，因子模型的潜在结构发生了一些变化。所有物质使用障碍主要贡献给因子 3，这是一个异质因子，也有 ADHD、重度抑郁症、自闭症谱系障碍和妥瑞氏症的负荷。
酒精和尼古丁依赖与其他精神疾病存在广泛的遗传相关性。在因子分析中包括物质使用障碍会导致潜在遗传因子结构发生一些变化。鉴于这些模型的不稳定性，应谨慎解释所识别的结构。
