Preliminary insights into the genetic architecture of postpartum depressive symptom severity using polygenic risk scores

Jennie G. Pouget , Valerie H. Taylor , Cindy-Lee Dennis , Sophie Grigoriadis , The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Inflammation Working Group, Tim Oberlander , Benicio N. Frey , Ryan Van Lieshout , Jerry Guintivano , Samantha Meltzer-Brody , James L. Kennedy , Simone N. Vigod
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引用次数: 4

Abstract

Background

Genetic factors influence susceptibility to postpartum mood disorders (PPMDs). However, the genetic architecture of PPMDs remains poorly understood. This study explored the genetic architecture of depressive symptom severity in a transdiagnostic sample of Canadian women with self-report PPMDs.

Methods

Women with self-reported current or past postpartum depression (PPD) or past postpartum psychosis (PPP) were recruited online via social media from across Canada. Postpartum depressive symptom severity was measured by self-report using the Edinburgh Postnatal Depression Scale (EPDS) through an iPhone application that is part of a large international study. Polygenic risk scoring (PRS) was applied to evaluate the genetic relationship between EPDS score and six non-perinatal psychiatric disorders (anxiety, bipolar disorder, depression, neuroticism, obsessive compulsive disorder, schizophrenia) and three putative PPMD biomarkers (C reactive protein (CRP), thyroxine (T4), progesterone). Exploratory Mendelian randomization was performed to evaluate causal relationships between biomarker levels and EPDS score.

Results

Polygenic risk scores for (1) bipolar disorder, (2) depression, and (3) serum CRP levels were positively associated with EPDS score among women with PPMDs (p < 0.05 after multiple testing correction). Mendelian randomization did not suggest a causal relationship between CRP levels and EPDS scores, but lacked sufficient statistical power.

Conclusions

This transdiagnostic study provides preliminary insights into the genetic architecture of postpartum depressive symptom severity as a dimensional trait. Our findings suggest there are shared genetic risk factors for postpartum depressive symptom severity and susceptibility to mood disorders outside the perinatal window, and highlight the potential role of inflammation in influencing postpartum depressive symptom severity.

使用多基因风险评分初步了解产后抑郁症状严重程度的遗传结构
遗传因素影响产后情绪障碍(PPMDs)的易感性。然而,PPMDs的遗传结构仍然知之甚少。本研究探讨了自我报告PPMDs的加拿大妇女的跨诊断样本中抑郁症状严重程度的遗传结构。方法通过社交媒体在线招募来自加拿大各地的自我报告当前或过去患有产后抑郁症(PPD)或产后精神病(PPP)的女性。产后抑郁症状的严重程度是通过iPhone应用程序使用爱丁堡产后抑郁量表(EPDS)自我报告来测量的,这是一项大型国际研究的一部分。应用多基因风险评分(PRS)评价EPDS评分与6种非围产期精神障碍(焦虑、双相情感障碍、抑郁、神经质、强迫症、精神分裂症)及3种推定PPMD生物标志物(C反应蛋白(CRP)、甲状腺素(T4)、黄体酮)的遗传关系。采用探索性孟德尔随机化来评估生物标志物水平与EPDS评分之间的因果关系。结果ppmd患者(1)双相情感障碍(2)抑郁(3)血清CRP水平的多基因风险评分与EPDS评分呈正相关(p <多重检验修正后0.05)。孟德尔随机化并未提示CRP水平与EPDS评分之间存在因果关系,但缺乏足够的统计能力。结论:这项跨诊断研究为产后抑郁症状严重程度作为一种维度特征的遗传结构提供了初步的见解。我们的研究结果表明,产后抑郁症状严重程度和围产儿窗外情绪障碍易感性存在共同的遗传危险因素,并强调了炎症在影响产后抑郁症状严重程度中的潜在作用。
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