Jalbrzikowski Maria, Lazaro Maria T, Gao Fuying, Huang Alden, Chow Carolyn, Geschwind Daniel H, Coppola Giovanni, Bearden Carrie E
Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, United States of America.
Interdepartmental Neuroscience Program, University of California Los Angeles, Los Angeles, United States of America.
PLoS One. 2015 Jul 22;10(7):e0132542. doi: 10.1371/journal.pone.0132542. eCollection 2015.
22q11.2 Deletion Syndrome (22q11DS) represents one of the greatest known genetic risk factors for the development of psychotic illness, and is also associated with high rates of autistic spectrum disorders (ASD) in childhood. We performed integrated genomic analyses of 22q11DS to identify genes and pathways related to specific phenotypes.
We used a high-resolution aCGH array to precisely characterize deletion breakpoints. Using peripheral blood, we examined differential expression (DE) and networks of co-expressed genes related to phenotypic variation within 22q11DS patients. Whole-genome transcriptional profiling was performed using Illumina Human HT-12 microarrays. Data mining techniques were used to validate our results against independent samples of both peripheral blood and brain tissue from idiopathic psychosis and ASD cases.
Eighty-five percent of 22q11DS individuals (N = 39) carried the typical 3 Mb deletion, with significant variability in deletion characteristics in the remainder of the sample (N = 7). DE analysis and weighted gene co-expression network analysis (WGCNA) identified expression changes related to psychotic symptoms in patients, including a module of co-expressed genes which was associated with psychosis in 22q11DS and involved in pathways associated with transcriptional regulation. This module was enriched for brain-expressed genes, was not related to antipsychotic medication use, and significantly overlapped with transcriptional changes in idiopathic schizophrenia. In 22q11DS-ASD, both DE and WGCNA analyses implicated dysregulation of immune response pathways. The ASD-associated module showed significant overlap with genes previously associated with idiopathic ASD.
These findings further support the use of peripheral tissue in the study of major mutational models of diseases affecting the brain, and point towards specific pathways dysregulated in 22q11DS carriers with psychosis and ASD.
22q11.2缺失综合征(22q11DS)是已知的导致精神病性疾病发生的最大遗传风险因素之一,并且还与儿童期高自闭症谱系障碍(ASD)发生率相关。我们对22q11DS进行了综合基因组分析,以鉴定与特定表型相关的基因和通路。
我们使用高分辨率aCGH阵列精确表征缺失断点。利用外周血,我们研究了22q11DS患者中与表型变异相关的差异表达(DE)和共表达基因网络。使用Illumina Human HT-12微阵列进行全基因组转录谱分析。数据挖掘技术用于对照来自特发性精神病和ASD病例的外周血和脑组织独立样本验证我们的结果。
85%的22q11DS个体(N = 39)携带典型的3 Mb缺失,其余样本(N = 7)的缺失特征存在显著差异。DE分析和加权基因共表达网络分析(WGCNA)确定了与患者精神病性症状相关的表达变化,包括一个共表达基因模块,该模块与22q11DS中的精神病相关,并参与与转录调控相关的通路。该模块富含脑表达基因,与抗精神病药物使用无关,并且与特发性精神分裂症的转录变化显著重叠。在22q11DS-ASD中,DE和WGCNA分析均表明免疫反应通路失调。与ASD相关的模块与先前与特发性ASD相关的基因显著重叠。
这些发现进一步支持在外周组织研究影响大脑的疾病主要突变模型中的应用,并指出22q11DS携带者患精神病和ASD时特定通路失调。