Department of Child and Adolescent Psychiatry, Erasmus University Medical Center, Rotterdam, The Netherlands.
Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada.
J Child Psychol Psychiatry. 2022 Jun;63(6):636-645. doi: 10.1111/jcpp.13501. Epub 2021 Aug 13.
Polygenic risk scores (PRSs) operationalize genetic propensity toward a particular mental disorder and hold promise as early predictors of psychopathology, but before a PRS can be used clinically, explanatory power must be increased and the specificity for a psychiatric domain established. To enable early detection, it is crucial to study these psychometric properties in childhood. We examined whether PRSs associate more with general or with specific psychopathology in school-aged children. Additionally, we tested whether psychiatric PRSs can be combined into a multi-PRS score for improved performance.
We computed 16 PRSs based on GWASs of psychiatric phenotypes, but also neuroticism and cognitive ability, in mostly adult populations. Study participants were 9,247 school-aged children from three population-based cohorts of the DREAM-BIG consortium: ALSPAC (UK), The Generation R Study (Netherlands), and MAVAN (Canada). We associated each PRS with general and specific psychopathology factors, derived from a bifactor model based on self-report and parental, teacher, and observer reports. After fitting each PRS in separate models, we also tested a multi-PRS model, in which all PRSs are entered simultaneously as predictors of the general psychopathology factor.
Seven PRSs were associated with the general psychopathology factor after multiple testing adjustment, two with specific externalizing and five with specific internalizing psychopathology. PRSs predicted general psychopathology independently of each other, with the exception of depression and depressive symptom PRSs. Most PRSs associated with a specific psychopathology domain, were also associated with general child psychopathology.
The results suggest that PRSs based on current GWASs of psychiatric phenotypes tend to be associated with general psychopathology, or both general and specific psychiatric domains, but not with one specific psychopathology domain only. Furthermore, PRSs can be combined to improve predictive ability. PRS users should therefore be conscious of nonspecificity and consider using multiple PRSs simultaneously, when predicting psychiatric disorders.
多基因风险评分(PRS)将特定精神障碍的遗传倾向转化为可操作的指标,并有望成为精神病理学的早期预测指标,但在 PRS 能够用于临床之前,必须提高其解释能力,并确定其在特定精神领域的特异性。为了实现早期检测,在儿童期研究这些心理测量特性至关重要。我们研究了 PRS 是否与学龄儿童的一般精神病理学或特定精神病理学更相关。此外,我们还测试了是否可以将精神科 PRS 组合成一个多 PRS 评分以提高性能。
我们根据主要为成人人群的精神表型、神经质和认知能力的 GWAS 计算了 16 个 PRS。研究参与者是来自 DREAM-BIG 联盟的三个基于人群的队列的 9247 名学龄儿童:ALSPAC(英国)、The Generation R Study(荷兰)和 MAVAN(加拿大)。我们将每个 PRS 与基于自我报告以及父母、教师和观察报告的双因素模型得出的一般和特定精神病理学因素相关联。在分别拟合每个 PRS 的模型后,我们还测试了一个多 PRS 模型,其中所有 PRS 都作为一般精神病理学因素的预测因子同时输入。
在经过多次测试调整后,有七个 PRS 与一般精神病理学因素相关,其中两个与特定的外化问题相关,五个与特定的内化问题相关。PRS 彼此独立地预测一般精神病理学,除了抑郁和抑郁症状 PRS 之外。大多数与特定精神病理学领域相关的 PRS 也与一般儿童精神病理学相关。
结果表明,基于当前 GWAS 对精神表型的 PRS 倾向于与一般精神病理学相关,或者与一般和特定的精神领域都相关,但不能与特定的精神病理学领域相关。此外,PRS 可以组合以提高预测能力。因此,在预测精神障碍时,PRS 用户应该意识到非特异性,并考虑同时使用多个 PRS。