Toward incorporating genetic risk scores into symptom networks of psychosis
Toward incorporating genetic risk scores into symptom networks of psychosis
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DOI：
10.1017/s003329171900045x
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发表时间：
2020-03-01
影响因子：
6.9
通讯作者：
Borsboom, Denny
中科院分区：
文献类型：
--
作者：
Isvoranu, Adela-Maria;Guloksuz, Sinan;Borsboom, Denny
背景精神病谱系障碍是一种异质性的、多因素的临床表型，已知具有高遗传率，其中只有一小部分可以通过遗传变异的分子测量来解释。这项研究提出，精神病性障碍的遗传变异的识别可能是由于心理测量概念化的表型问题而遭受的。在这里，我们的目标是通过明确地将基因纳入症状网络，开辟一条新的精神障碍遗传学研究路线。具体而言，我们调查是否可以确定在网络model.MethodsWe分析数据n = 2180个主题（对照组，诊断为非情感性精神障碍的患者，和患者的一级亲属）之间的联系的多基因风险评分（PRS）精神分裂症和精神病倾向的措施。一个网络结构的计算，以检查42个症状的社区评估的精神体验（CAPE）和精神分裂症的PRS之间的关联。ResultsThe由此产生的网络显示，PRS是直接连接到频谱的积极和抑郁症状，与项目阴谋和没有未来更经常位于预测路径从PRS到其他symptoms.Conclusions据我们所知，目前的探索性研究提供了网络框架在行为遗传学研究领域的首次应用。这使得一个新的前景的调查全基因组关联研究为基础的PRS和精神障碍的症状之间的关系，通过关注变量之间的依赖关系。
BackgroundPsychosis spectrum disorder is a heterogeneous, multifactorial clinical phenotype, known to have a high heritability, only a minor portion of which can be explained by molecular measures of genetic variation. This study proposes that the identification of genetic variation underlying psychotic disorder may have suffered due to issues in the psychometric conceptualization of the phenotype. Here we aim to open a new line of research into the genetics of mental disorders by explicitly incorporating genes into symptom networks. Specifically, we investigate whether links between a polygenic risk score (PRS) for schizophrenia and measures of psychosis proneness can be identified in a network model.MethodsWe analyzed data from n = 2180 subjects (controls, patients diagnosed with a non-affective psychotic disorder, and the first-degree relatives of the patients). A network structure was computed to examine associations between the 42 symptoms of the Community Assessment of Psychic Experiences (CAPE) and the PRS for schizophrenia.ResultsThe resulting network shows that the PRS is directly connected to the spectrum of positive and depressive symptoms, with the items conspiracy and no future being more often located on predictive pathways from PRS to other symptoms.ConclusionsTo our knowledge, the current exploratory study provides a first application of the network framework to the field of behavior genetics research. This allows for a novel outlook on the investigation of the relations between genome-wide association study-based PRSs and symptoms of mental disorders, by focusing on the dependencies among variables.