Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom.
Dornsife Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA; RAND Corporation, Santa Monica, CA, USA.
J Psychiatr Res. 2018 May;100:63-70. doi: 10.1016/j.jpsychires.2018.01.016. Epub 2018 Feb 10.
Unlike the diagnosed Major Depressive Disorder, depressive symptomatology in the general population has received less attention in genome-wide association scan (GWAS) studies. Here we report a GWAS study on depressive symptomatology using a discovery-replication design and the following approaches: To improve the robustness of the phenotypic measure, we used longitudinal data and calculated mean scores for at least 3 observations for each individual. To maximize replicability, we used nearly identical genotyping platforms and identically constructed phenotypic measures in both the Discovery and Replication samples. We report one genome-wide significant hit; rs58682566 in the EPG5 gene was associated (p = 3.25E-08) with the mean of the depression symptom in the Discovery sample, without confirmation in the Replication sample. We also report 4 hits exceeding the genome-wide suggestive significance level with nominal replications. Rs11774887, rs4147527 and rs1379328, close to the SAMD12 gene, were associated with the mean depression symptom score (P-values in Discovery sample: 4.58E-06, 7.65E-06 and 7.66E-06; Replication sample: 0.049, 0.029 and 0.030, respectively). Rs13250896, located in an intergenic region, was associated with the mean score of the three somatic items of the depression symptoms score (p = 3.31E-07 and 0.042 for the Discovery and Replication samples). These results were not supported by evidence in the literature. We conclude that despite the strengths of our approach, using robust phenotypic measures and samples that maximize replicability potential, this study does not provide compelling evidence of a single genetic variant's significant role in depressive symptomatology.
与已确诊的重度抑郁症不同,一般人群的抑郁症状在全基因组关联扫描(GWAS)研究中受到的关注较少。在这里,我们使用发现-复制设计和以下方法报告了一项关于抑郁症状的 GWAS 研究:为了提高表型测量的稳健性,我们使用纵向数据,并为每个个体计算至少 3 次观察的平均值。为了最大限度地提高可重复性,我们在发现和复制样本中使用了几乎相同的基因分型平台和相同构建的表型测量。我们报告了一个全基因组显著命中;EPG5 基因中的 rs58682566 与发现样本中抑郁症状的平均值相关(p=3.25E-08),但在复制样本中未得到证实。我们还报告了 4 个超过全基因组提示显著水平的命中,具有名义复制。rs11774887、rs4147527 和 rs1379328 位于 SAMD12 基因附近,与平均抑郁症状评分相关(发现样本中的 P 值分别为 4.58E-06、7.65E-06 和 7.66E-06;复制样本中的 P 值分别为 0.049、0.029 和 0.030)。位于基因间区域的 rs13250896 与抑郁症状的三个躯体项目的平均评分相关(p=3.31E-07 和 0.042,分别用于发现和复制样本)。这些结果没有得到文献证据的支持。我们的结论是,尽管我们的方法具有优势,使用了稳健的表型测量和最大限度地提高可重复性的样本,但这项研究并没有提供令人信服的证据表明单一遗传变异在抑郁症状中具有重要作用。