Amare Azmeraw T, Schubert Klaus Oliver, Tekola-Ayele Fasil, Hsu Yi-Hsiang, Sangkuhl Katrin, Jenkins Gregory, Whaley Ryan M, Barman Poulami, Batzler Anthony, Altman Russ B, Arolt Volker, Brockmöller Jürgen, Chen Chia-Hui, Domschke Katharina, Hall-Flavin Daniel K, Hong Chen-Jee, Illi Ari, Ji Yuan, Kampman Olli, Kinoshita Toshihiko, Leinonen Esa, Liou Ying-Jay, Mushiroda Taisei, Nonen Shinpei, Skime Michelle K, Wang Liewei, Kato Masaki, Liu Yu-Li, Praphanphoj Verayuth, Stingl Julia C, Bobo William V, Tsai Shih-Jen, Kubo Michiaki, Klein Teri E, Weinshilboum Richard M, Biernacka Joanna M, Baune Bernhard T
Discipline of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia.
Northern Adelaide Local Health Network, Mental Health Services, Adelaide, SA, Australia.
Front Psychiatry. 2018 Mar 6;9:65. doi: 10.3389/fpsyt.2018.00065. eCollection 2018.
Studies reported a strong genetic correlation between the Big Five personality traits and major depressive disorder (MDD). Moreover, personality traits are thought to be associated with response to antidepressants treatment that might partly be mediated by genetic factors. In this study, we examined whether polygenic scores (PGSs) derived from the Big Five personality traits predict treatment response and remission in patients with MDD who were prescribed selective serotonin reuptake inhibitors (SSRIs). In addition, we performed meta-analyses of genome-wide association studies (GWASs) on these traits to identify genetic variants underpinning the cross-trait polygenic association. The PGS analysis was performed using data from two cohorts: the Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS, = 529) and the International SSRI Pharmacogenomics Consortium (ISPC, = 865). The cross-trait GWAS meta-analyses were conducted by combining GWAS summary statistics on SSRIs treatment outcome and on the personality traits. The results showed that the PGS for openness and neuroticism were associated with SSRIs treatment outcomes at < 0.05 across P thresholds in both cohorts. A significant association was also found between the PGS for conscientiousness and SSRIs treatment response in the PGRN-AMPS sample. In the cross-trait GWAS meta-analyses, we identified eight loci associated with (a) SSRIs response and conscientiousness near gene and (b) SSRI remission and neuroticism eight loci near , and genes. An assessment of a polygenic load for personality traits may assist in conjunction with clinical data to predict whether MDD patients might respond favorably to SSRIs.
研究报告称,大五人格特质与重度抑郁症(MDD)之间存在很强的遗传相关性。此外,人格特质被认为与抗抑郁药治疗反应有关,这可能部分由遗传因素介导。在本研究中,我们检验了源自大五人格特质的多基因分数(PGS)是否能预测接受选择性5-羟色胺再摄取抑制剂(SSRI)治疗的MDD患者的治疗反应和缓解情况。此外,我们对这些特质进行了全基因组关联研究(GWAS)的荟萃分析,以确定支持跨特质多基因关联的遗传变异。PGS分析使用了来自两个队列的数据:药物基因组学研究网络抗抑郁药物药物基因组学研究(PGRN-AMPS,n = 529)和国际SSRI药物基因组学联盟(ISPC,n = 865)。跨特质GWAS荟萃分析是通过合并关于SSRI治疗结果和人格特质的GWAS汇总统计数据进行的。结果显示,在两个队列中,开放性和神经质的PGS在不同P阈值下均与SSRI治疗结果相关(P < 0.05)。在PGRN-AMPS样本中,尽责性的PGS与SSRI治疗反应之间也发现了显著关联。在跨特质GWAS荟萃分析中,我们确定了八个位点,分别与(a)靠近 基因的SSRI反应和尽责性以及(b)靠近 、 和 基因的SSRI缓解和神经质相关。对人格特质的多基因负荷进行评估,可能有助于结合临床数据预测MDD患者对SSRI是否可能有良好反应。