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69. Exploring Polygenic Risk in Cognitive Subgroups of Schizophrenia: Associations Between Risk Profile Scores and Measures of Cognition

机译:69.探索精神分裂症认知亚群的多基因风险:风险谱得分与认知量度之间的关联

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摘要

>Background: The purpose of this study was to evaluate associations between cognition and risk profile scores (RPS), at varying levels of specificity, for schizophrenia patients divided into three subgroups previously determined by premorbid and fluid intelligence. >Methods: 550 people with schizophrenia, 432 of their unaffected siblings, and 1127 community controls provided demographic and clinical information, completed cognitive and symptom assessments and provided blood for genetics analyses, as part of the NIMH Study of Schizophrenia Genetics. We performed cluster analyses (SPSS) in the schizophrenia cases to identify cognitive subgroups, using only “premorbid” (WRAT) and “current” (WAIS) IQ as clustering indicators, with the hypothesis that different patterns of performance identify subgroups with different trajectories of cognitive development. Schizophrenia RPS for all individuals were calculated at different thresholds based on illness-associated genetic variants identified by the multi-national Psychiatric Genetics Consortium. Across RPS thresholds, we used planned hierarchical regression to test the association of RPS with general cognitive ability (“g”) in the derived cognitive subgroups, controlling for age, sex, and population stratification. >Results: Based on 1000 runs, three cluster solutions were, by far, the most frequent and parsimonious result for the cluster analyses, suggesting one subgroup with high scores on both WRAT and IQ (HH), one with low scores on both WRAT and IQ (LL), and one with high scores on the WRAT and low IQ (HL). Cognitive performance was significantly impaired and RPS scores were significantly elevated in all schizophrenia groups relative to controls. The HH subgroup showed significant associations between RPS and “g” at six of 10 RPS thresholds (e.g., at RPS_0.05 P = .002; R2 = .047). The LL subgroup showed a pattern of similar but non-significant associations. However, the HL subgroup showed no evidence of association of schizophrenia RPS with “g” at any threshold. >Conclusion: Cognitive impairment is recognized as a core feature of schizophrenia. These analyses suggest, further, that for some individuals with schizophrenia (HH), common genetic risk for the condition is also predictive of cognitive impairment. It is striking, however, that for another subgroup (HL), polygenic risk for schizophrenia is entirely “decoupled” from cognition. These differences in cognitive profile and in the association of cognitive performance with common genetic risk for schizophrenia may point to important distinctions in etiology.
机译:>背景:这项研究的目的是评估精神分裂症患者在不同特异性水平下的认知与风险谱得分(RPS)之间的关联,该精神分裂症患者分为先前由病前和体液智力确定的三个亚组。 >方法:作为NIMH精神分裂症研究的一部分,550名精神分裂症患者,432名未受影响的兄弟姐妹和1127名社区对照者提供了人口统计和临床信息,完成了认知和症状评估,并提供了血液用于遗传学分析。遗传学。我们仅使用“病前”(WRAT)和“当前”(WAIS)智商作为聚类指标,对精神分裂症病例进行了聚类分析(SPSS)以识别认知亚组,并假设不同的表现模式可识别具有不同运动轨迹的亚组。认知发展。根据多国精神病学遗传学协会确定的与疾病相关的遗传变异,在不同的阈值下计算所有个体的精神分裂症RPS。跨RPS阈值,我们使用计划的层次回归来测试RPS与派生认知亚组中一般认知能力(“ g”)的关联,并控制年龄,性别和人口分层。 >结果:基于1000次运行,到目前为止,三种聚类解决方案是聚类分析中最频繁,最简约的结果,表明一个在WRAT和IQ(HH)上均得分高的亚组在WRAT和智商(LL)上得分都低,在WRAT和智商低(HL)上得分都高。相对于对照组,所有精神分裂症组的认知能力均明显受损,RPS评分明显升高。 HH亚组在10个RPS阈值中的六个阈值下显示RPS与“ g”之间有显着关联(例如,在RPS_0.05 P = .002; R 2 = .047)。 LL亚组显示出相似但不重要的关联模式。但是,HL亚组在任何阈值下均未显示出精神分裂症RPS与“ g”相关的证据。 >结论:认知障碍被认为是精神分裂症的核心特征。这些分析进一步表明,对于某些精神分裂症(HH)个体,该病的常见遗传风险也可预测认知障碍。然而,令人惊讶的是,对于另一个亚组(HL),精神分裂症的多基因风险与认知完全“脱钩”。认知特征的这些差异以及认知能力与精神分裂症的常见遗传风险之间的关联可能表明了病因学上的重要区别。

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