STRUCTURAL VARIATION IN NEUROLOGICAL DISEASE
神经系统疾病的结构变异
基本信息
- 批准号:9902042
- 负责人:
- 金额:$ 6.7万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-01 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdultAlzheimer&aposs DiseaseAutomobile DrivingBehavior DisordersBiological AssayCharacteristicsCharcot-Marie-Tooth DiseaseChromosomal RearrangementComplexCopy Number PolymorphismDNA Sequence AlterationDNA Sequence RearrangementDiagnosticDiseaseEvaluationEvolutionGene DosageGene RearrangementGenesGenomeGenomic InstabilityGenomic approachGenomicsHeterozygoteHumanIndividualIntellectual functioning disabilityMalignant NeoplasmsMolecularMutationNerve DegenerationNeurodegenerative DisordersNeurodevelopmental DisorderParkinson DiseasePatternPotocki-Lupski syndrome Precision Medicine InitiativeProcessRecurrenceRoleSNP arraySchizophreniaStretchingStructureVariantautism spectrum disorderchromothripsiscomparative genomic hybridizationexome sequencinggene correctiongenome sequencinggenome-wideinsightmalformationnervous system disordernoveltraitwhole genome
项目摘要
ABSTRACT
During the previous two decades it has become apparent that genomic rearrangements are often the type of
mutation that underlies neurological disease. This is so not only for neurodevelopmental disorders such as
intellectual disability (ID) and different recognizable patterns of human malformation (e.g. Potocki-Lupski
syndrome), but also for late-onset adult neurological disorders such as Charcot-Marie-Tooth disease.
Moreover, genomic rearrangement can often underlie complex traits and sporadic diseases such as Parkinson,
Alzheimer disease and other neurodegenerative processes. Contrary to prior interpretations, experimental
evaluation of disease associated genomic rearrangements has often documented that they can be much more
complex than anticipated. Complexities can occur at individual loci and give specific patterns for complex
genomic rearrangements (CGR) as observed on genome-wide array CGH; such as duplication - normal -
duplication (DUP-NML-DUP), or a triplication embedded within duplications (DUP-TRP-DUP). Furthermore,
complexities can occur on a genomic level leading to complex chromosomal rearrangements (CCR) and the
phenomena of chromothripsis observed both in cancer and neurodevelopmental disorders, as well as an
unusual experimentally observed pattern of multiple de novo copy number variants (CNVs) spread apparently
randomly throughout the genome. The elucidation of mechanisms that can generate such complexities is an
emerging field. We propose to further characterize CGR that have been found in association with neurological
disease. Specifically, we will investigate: 1) CGRs that consists of: i) a DUP-NML-DUP pattern and ii) a
pattern of a triplicated segment in inverse orientation embedded within a duplicated segment of the genome
(DUP-TRP/INV-DUP); these are newly observed types of CGR with one proposed mechanism elucidated in
our previous application; 2) The mechanism for recurrent triplications; 3) Elucidate the underlying molecular
characteristics and breakpoint junctions of CGR that are accompanied by long genomic stretches of absence
of heterozygosity (AOH), and resulting in both genomic (CGR) and genetic (AOH) alterations; 4) Alu-Alu
rearrangements and their role in genomic instability and disease and 5) We will attempt to isolate a gene
important to the phenomena of multiple de novo CNV seemingly randomly distributed throughout the genome.
The experimental approaches to be utilized to accomplish each one of these specific aims are now within our
reach. These studies predominately require genomic approaches that enable genomewide assays of variation
such as array comparative genomic hybridization, genomewide SNP chips, whole exome sequencing (WES),
whole genome sequencing (WGS), and other mapping and molecular approaches for the delineation of
specific breakpoint junctions. It is anticipated these studies will characterize these novel types of
rearrangements and lend further insight into basic molecular mutational mechanisms driving gene and genome
evolution and that can cause the myriad of neurological diseases.
抽象的
在过去的二十年中,很明显基因组重排通常是
神经系统疾病的基础突变。这不仅适用于神经发育障碍,例如
智力障碍 (ID) 和不同可识别的人类畸形模式(例如 Potocki-Lupski
综合征),也适用于迟发性成人神经系统疾病,例如腓骨肌萎缩症。
此外,基因组重排通常可能是复杂性状和散发性疾病的基础,例如帕金森病、
阿尔茨海默病和其他神经退行性疾病。与先前的解释相反,实验
对疾病相关基因组重排的评估经常证明它们可以更多
比预期复杂。复杂性可能发生在各个位点,并给出复杂性的特定模式
在全基因组阵列 CGH 上观察到的基因组重排 (CGR);例如重复-正常-
重复 (DUP-NML-DUP),或嵌入重复中的三倍 (DUP-TRP-DUP)。此外,
复杂性可能发生在基因组水平上,导致复杂的染色体重排(CCR)和
在癌症和神经发育障碍中观察到的染色体碎裂现象,以及
不同寻常的实验观察到的多个从头拷贝数变异(CNV)的模式明显传播
随机分布在整个基因组中。阐明可以产生如此复杂性的机制是一个重要的问题
新兴领域。我们建议进一步表征与神经系统相关的 CGR
疾病。具体来说,我们将研究:1) CGR,包括:i) DUP-NML-DUP 模式和 ii)
嵌入基因组重复片段内的反向三重片段的模式
(DUP-TRP/INV-DUP);这些是新观察到的 CGR 类型,其中阐明了一种提议的机制
我们之前的申请; 2)循环三倍的机制; 3)阐明潜在分子
伴随着长基因组缺失的 CGR 特征和断点连接
杂合性(AOH),并导致基因组(CGR)和遗传(AOH)改变; 4) 铝-铝
重排及其在基因组不稳定性和疾病中的作用以及 5) 我们将尝试分离基因
对于看似随机分布在整个基因组中的多个从头 CNV 现象很重要。
用于实现这些具体目标中的每一个的实验方法现在都在我们的范围内
抵达。这些研究主要需要能够进行全基因组变异分析的基因组方法
例如阵列比较基因组杂交、全基因组 SNP 芯片、全外显子组测序 (WES)、
全基因组测序(WGS)以及其他描绘基因组的图谱和分子方法
特定的断点连接。预计这些研究将描述这些新颖类型的特征
重排并进一步了解驱动基因和基因组的基本分子突变机制
进化可能会导致无数的神经系统疾病。
项目成果
期刊论文数量(0)
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JAMES R. LUPSKI其他文献
JAMES R. LUPSKI的其他文献
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{{ truncateString('JAMES R. LUPSKI', 18)}}的其他基金
COMPLEX GENOMIC REARRANGEMENTS IN NEUROLOGICAL DISEASE
神经系统疾病中的复杂基因组重排
- 批准号:
9114666 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
COMPLEX GENOMIC REARRANGEMENTS IN NEUROLOGICAL DISEASE
神经系统疾病中的复杂基因组重排
- 批准号:
9317539 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
Nonrecurrent rearrangements, genome architecture and neurodegenerative disease.
非复发性重排、基因组结构和神经退行性疾病。
- 批准号:
7895924 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
Nonrecurrent rearrangements, genome architecture and neurodegenerative disease.
非复发性重排、基因组结构和神经退行性疾病。
- 批准号:
7650633 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
Nonrecurrent rearrangements, genome architecture and neurodegenerative disease.
非复发性重排、基因组结构和神经退行性疾病。
- 批准号:
8310156 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
COMPLEX GENOMIC REARRANGEMENTS IN NEUROLOGICAL DISEASE
神经系统疾病中的复杂基因组重排
- 批准号:
8812908 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:
COMPLEX GENOMIC REARRANGEMENTS IN NEUROLOGICAL DISEASE
神经系统疾病中的复杂基因组重排
- 批准号:
8693367 - 财政年份:2009
- 资助金额:
$ 6.7万 - 项目类别:














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