1/2 Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
1/2 Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain development
批准号:
10335113
负责人:
NENAD SESTAN
金额:
$74.8万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-02-01 至 2025-11-30
关键词:
AdolescenceAdultAffectAge of OnsetAllelesAlzheimer&aposs DiseaseBehaviorBiologicalBipolar DisorderBrainBrain regionCell NucleusCellsChromatinCodeCommunitiesComplementCopy Number PolymorphismCorpus striatum structureDNADataData SetDatabasesDevelopmentDiseaseEpigenetic ProcessEtiologyExhibitsFetal DevelopmentFoundationsGene ExpressionGene Expression ProfileGene FrequencyGenerationsGenesGeneticGenotypeHumanHuman GenomeIndividualLinkMethodsNeurobiologyNeurodevelopmental DisorderNeurosciencesPatternPrefrontal CortexPrevalenceProcessPropertyProteinsQuantitative Trait LociRNA SplicingRegulatory ElementResourcesRiskRoleSamplingSchizophreniaSingle Nucleotide PolymorphismSmall Nuclear RNASourceSpecificitySpliced GenesSystemTissuesUntranslated RNAValidationVariantautism spectrum disorderbrain cellbrain tissuecell typecohortcomputerized toolsdisorder riskepigenetic markerexperimental studyfetalfunctional genomicsgenetic risk factorgenetic variantgenome sequencinggenome wide association studygenomic datagenomic locusgenomic variationhistone modificationinsertion/deletion mutationinsightneurodevelopmentneuropsychiatric disordernext generationnovelpostnatal developmentprenatalrare variantrisk variantsexspatiotemporaltraittranscriptometranscriptome sequencingwhole genome
中文摘要
摘要
对发育中的人脑进行的功能基因组分析揭示了高度动态的时空
出生前和出生后早期发育过程中的基因表达模式和表观遗传学变化
大脑区域。这些发展动态过程的中断已经牵涉到许多
多发性神经发育和神经精神障碍病因学的互补分析。
表达数量性状基因座(EQTL)、剪接数量性状基因座(SQTL)和结构变异
数量性状基因座(SvQTL)是个体之间不同的基因组变异,具有这些差异
与基因表达或剪接行为的功能变化相关。这些QTL中有许多表现出特异性
与组织、大脑区域、发育阶段或细胞类型有关,并且与已知的遗传风险有重叠的比例
人类失调的因素。在这里,我们建议追求三个综合目标,包括全基因组
测序以及散装组织和单核RNA测序,以确定基因组变异,
EQTL/sQTL/svQTL,以及人脑两个区域基因表达和共表达的模式
从胎儿中期发育到青春期。此外,我们还将应用新开发的产品
将这些QTL与特定的细胞类型和基因座或基因联系起来的计算工具
神经精神障碍。通过这样做,我们将加强并戏剧性地扩大早期的努力,以
了解QTL及其在神经发育、功能和神经精神障碍中的作用。
英文摘要
ABSTRACT
Functional genomic analyses of the developing human brain have revealed highly dynamic spatiotemporal
patterns of gene expression and epigenetic changes during prenatal and early postnatal development and across
brain regions. Disruptions of these developmentally dynamic processes have been implicated by numerous
complementary analyses in the etiology of multiple neurodevelopmental and neuropsychiatric disorders.
Expression quantitative trait loci (eQTLs), along with splicing quantitative trait loci (sQTLs) and structural variant
quantitative trait loci (svQTLs), are genomic variants that differ between individuals, with these differences
correlating with functional changes to gene expression or splicing behavior. Many of these QTLs show specificity
to tissues, brain regions, developmental stages, or cell types, and a proportion overlap with known genetic risk
factors of human disorders. Here, we propose to pursue three integrated Aims, including whole-genome
sequencing and both bulk tissue and single-nuclei RNA sequencing, to identify genomic variants,
eQTL/sQTL/svQTLs, and patterns of gene expression and co-expression in two regions of the human brain
across mid-fetal development through to adolescence. In addition, we will apply novel and newly developed
computational tools to associate these QTLs with specific cell types and loci or genes implicated in
neuropsychiatric disorders. By so doing we will augment, and dramatically expand upon, earlier efforts to
understand QTLs and their roles in neural development, function, and neuropsychiatric disorders.
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