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Genome arrays for the detection of copy number variations in idiopathic mental retardation, idiopathic generalized epilepsy and neuropsychiatric disorders: lessons for diagnostic workflow and research. [Review]

机译:用于检测特发性智力低下,特发性全身性癫痫和神经精神疾病的拷贝数变异的基因组阵列:用于诊断工作流程和研究的课程。 [评论]

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We review the contributions and limitations of genome-wide array-based identification of copy number variants (CNVs) in the clinical diagnostic evaluation of patients with mental retardation (MR) and other brain-related disorders. In unselected MR referrals a causative genomic gain or loss is detected in 14-18% of cases. Usually, such CNVs arise de novo, are not found in healthy subjects, and have a major impact on the phenotype by altering the dosage of multiple genes. This high diagnostic yield justifies array-based segmental aneuploidy screening as the initial genetic test in these patients. This also pertains to patients with autism (expected yield about 5-10% in nonsyndromic and 10-20% in syndromic patients) and schizophrenia (at least 5% yield). CNV studies in idiopathic generalized epilepsy, attention-deficit hyperactivity disorder, major depressive disorder and Tourette syndrome indicate that patients have, on average, a larger CNV burden as compared to controls. Collectively, the CNV studies suggest that a wide spectrum of disease-susceptibility variants exists, most of which are rare (<0.1%) and of variable and usually small effect. Notwithstanding, a rare CNV can have a major impact on the phenotype. Exome sequencing in MR and autism patients revealed de novo mutations in protein coding genes in 60 and 20% of cases, respectively. Therefore, it is likely that arrays will be supplanted by next-generation sequencing methods as the initial and perhaps ultimate diagnostic tool in patients with brain-related disorders, revealing both CNVs and mutations in a single test. Copyright Copyright 2011 S. Karger AG, Basel.
机译:我们审查了智力低下(MR)和其他脑相关疾病患者的临床诊断评估中基于全基因组阵列的拷贝数变异(CNV)鉴定的贡献和局限性。在未选择的MR转诊中,在14%至18%的病例中检测到因果的基因组增加或减少。通常,此类CNV从头出现,在健康受试者中未发现,并且通过改变多个基因的剂量而对表型产生重大影响。如此高的诊断率证明了基于阵列的非整倍性筛查是这些患者的初步遗传学检测。这也适用于自闭症患者(非综合征患者的预期收益约为5-10%,综合征患者的预期收益约为10-20%)和精神分裂症(至少5%的收益)。 CNV在特发性全身性癫痫,注意缺陷多动障碍,重度抑郁症和Tourette综合征中的研究表明,与对照组相比,患者平均具有更大的CNV负担。总的来说,CNV研究表明存在广泛的疾病易感性变体,其中大多数是罕见的(<0.1%),且效果不一,通常很小。尽管如此,罕见的CNV可能会对表型产生重大影响。 MR和自闭症患者的外显子组测序分别显示60%和20%的病例的蛋白质编码基因从头突变。因此,阵列可能会被下一代测序方法取代,成为脑相关疾病患者的最初甚至最终的诊断工具,可在一次测试中同时显示CNV和突变。版权版权所有2011 S. Karger AG,巴塞尔。

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