Polygenic scores and symptom severity change after internet-delivered cognitive behaviour therapy for depression and anxiety.

Julia Bäckman, John Wallert, Matthew Halvorsen, James J Crowley, David Mataix-Cols, Christian Rück
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Abstract

Depressive and anxiety disorders are leading causes of disability globally. Therapist-guided, Internet-delivered cognitive behaviour therapy (ICBT) is an established treatment for depression and anxiety, but a considerable proportion of treated patients do not achieve sufficient improvement. Predicting symptom changes based solely on clinical variables is challenging, and genetic data could offer additional insights into who might benefit most from ICBT. We conducted a study of 2,668 adults (62% women, average age 35.6) from the Swedish MULTI-PSYCH cohort, to investigate the association between polygenic scores (PGS) for eight psychiatric and cognitive traits and symptom change after ICBT. All participants had been diagnosed with depression, panic disorder or social anxiety disorder. The primary outcome was a harmonised symptom score. Using large discovery data sets, PGSs were computed for ADHD, autism spectrum disorder, bipolar disorder, major depressive disorder and schizophrenia, cross-disorder psychopathology, educational attainment, and intelligence. Linear mixed-effects models identified a significant negative association between PGS for educational attainment (PGS-EDU) and symptom severity in the adjusted model (B = - 0.69, p = 0.034), suggesting that a higher PGS-EDU was associated with lower symptom severity. There was also a significant PGS-EDU*time interaction, indicating that PGS-EDU also influenced the symptom change rate. When excluding outliers, these effects remained statistically significant. No other PGSs were statistically significant. Sensitivity analysis showed that self-reported education level provided a stronger association to the outcome than PGS-EDU, indicating that the potential clinical applications of PGS are currently limited. While these results await replication, they could have important implications for how the ICBT could be adapted to suit a wider portion of the population.

网络认知行为疗法治疗抑郁和焦虑后,多基因评分和症状严重程度发生变化。
抑郁症和焦虑症是全球致残的主要原因。由治疗师指导、互联网提供的认知行为疗法(ICBT)是一种治疗抑郁症和焦虑症的成熟疗法,但相当一部分接受治疗的患者并没有取得足够的改善。仅根据临床变量预测症状变化是具有挑战性的,而遗传数据可以为谁可能从ICBT中获益最多提供额外的见解。我们对来自瑞典多心理队列的2668名成年人(62%为女性,平均年龄35.6岁)进行了一项研究,以调查ICBT后8种精神和认知特征的多基因评分(PGS)与症状变化之间的关系。所有参与者都被诊断患有抑郁症、恐慌症或社交焦虑症。主要结果是统一的症状评分。使用大型发现数据集,计算ADHD、自闭症谱系障碍、双相情感障碍、重度抑郁症和精神分裂症、跨障碍精神病理学、受教育程度和智力的pgs。线性混合效应模型发现PGS对受教育程度(PGS- edu)和症状严重程度之间存在显著负相关(B = - 0.69, p = 0.034),表明PGS- edu越高,症状严重程度越低。PGS-EDU*时间也存在显著交互作用,说明PGS-EDU也影响症状变化率。当排除异常值时,这些影响仍然具有统计学意义。其他pgs无统计学意义。敏感性分析显示,自我报告的教育程度与预后的相关性强于PGS- edu,表明PGS的潜在临床应用目前有限。虽然这些结果有待复制,但它们可能对ICBT如何适应更广泛的人群具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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