Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
开发从遗传位点到啮齿动物复杂性状基因的途径
基本信息
- 批准号:10361239
- 负责人:
- 金额:$ 69.93万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-06-18 至 2024-02-29
- 项目状态:已结题
- 来源:
- 关键词:AllelesAmygdaloid structureAnalysis of VarianceAnimal ModelAnxietyBiologicalCRISPR/Cas technologyCandidate Disease GeneCatalogsChromosome MappingComplexComplex Genetic TraitDataData SetDevelopmentDiseaseDisease modelEngineeringEnsureEtiologyFunctional disorderGenesGeneticGenomicsGenotypeHippocampus (Brain)HybridsInbred StrainInbred Strains RatsKnock-outMapsMedicalMental disordersMeta-AnalysisMethodsModelingMouse StrainsMusNucleic Acid Regulatory SequencesPathway interactionsPhenotypeProsencephalonProtocols documentationQuantitative Trait LociRattusResearch PersonnelResolutionResourcesRodentRodent ModelSystemTechniquesTechnologyTestingTissuesUrsidae FamilyVariantcausal variantcell typeexperimental studygene discoverygenetic variantgenome sequencinggenomic locusineffective therapiesinnovationinsightinterestknockout genemodel designmouse genomemouse modelmutantnovelnovel therapeuticspromotersuccesstrait
项目摘要
Over the last 20 years many thousands of genetic loci have been identified that contribute to complex traits in
rodents, including models of common diseases. The findings are expected to advance our understanding of
biological mechanisms underlying disease and other traits of biomedical interest, yet relative to the number of
successful mapping experiments the yield of novel insights is very small. This is because the mapping
experiments have rarely led to the identification of genes. This proposal will radically change this situation by
deploying an innovative approach to identifying genes at genetic loci that contribute to variation in complex
traits in mice. By using resources and techniques that the PI has developed, including the use of outbred
rodents for high-resolution genetic mapping, catalogs of genetic variants in mouse strains from genome
sequencing, and methods for gene identification, an efficient and simple protocol will be developed that will
allow researchers to rapidly progress from locus to gene identification. Since gene identification is particularly
important (and challenging) in models of psychiatric disease where etiologic understanding is still limited and
access to the relevant tissues or cell type difficult, the efficacy of the approach is tested on animal models of
anxiety.
Our approach consists of three steps: first, ensure that association evidence supporting each locus is robust;
second, identify at each locus all candidate genes; third, make knockouts of those genes on an inbred strain
and test their candidacy using a quantitative trait locus gene-knockout interaction test. Using a discovery set of
62 loci that contribute to variation in anxiety in mice, we aim to identify 24 loci with two or fewer candidate
genes, and to confirm the identity of genes involved in anxiety at these loci. Until recently the key experiment
that makes gene identification possible, the interaction test, could not easily be implemented because of the
difficulty of obtaining a knockout and wildtype on the same genetic background. The advent of the new
genomic engineering technology, CRISPR/Cas9, has overcome that obstacle. We will take advantage of this
advance to make gene identification at complex trait loci a routine task. Our findings will transform complex
trait genetics in rodents, and, by identifying up to 24 genes involved in anxiety, will make a major inroad into
understanding the biological basis of a common disease, with consequent implications for developing new
therapies.
在过去的 20 年里,已经鉴定出数千个基因位点,这些基因位点对人类的复杂性状有贡献。
啮齿动物,包括常见疾病的模型。研究结果预计将加深我们对
疾病和其他具有生物医学意义的特征的生物学机制,但与数量有关
成功的绘图实验产生的新颖见解非常少。这是因为映射
实验很少导致基因的鉴定。该提案将从根本上改变这种状况
采用创新方法来识别基因位点上导致复杂变异的基因
小鼠的特征。通过使用 PI 开发的资源和技术,包括使用近交系
用于啮齿类动物的高分辨率遗传图谱、基因组中小鼠品系遗传变异的目录
测序和基因鉴定方法,将开发一种有效且简单的方案,该方案将
使研究人员能够快速从位点鉴定到基因鉴定。由于基因鉴定特别
在病因学理解仍然有限的精神疾病模型中很重要(并且具有挑战性)
由于难以获取相关组织或细胞类型,因此该方法的功效已在动物模型上进行了测试
焦虑。
我们的方法包括三个步骤:首先,确保支持每个基因座的关联证据是可靠的;
其次,识别每个位点的所有候选基因;第三,在近交系上敲除这些基因
并使用数量性状基因座基因敲除相互作用测试来测试他们的候选资格。使用一组发现
62 个基因座导致小鼠焦虑变化,我们的目标是识别 24 个基因座,其中有两个或更少的候选基因
基因,并确认这些位点上与焦虑有关的基因的身份。直到最近,关键实验
使基因鉴定成为可能的相互作用测试由于
很难在相同的遗传背景下获得敲除型和野生型。新事物的出现
基因组工程技术 CRISPR/Cas9 克服了这一障碍。我们将利用这一点
使复杂性状位点的基因鉴定成为一项常规任务。我们的发现将改变复杂的
啮齿类动物的性状遗传学,通过鉴定多达 24 个与焦虑有关的基因,将在
了解常见疾病的生物学基础,从而对开发新的疾病产生影响
疗法。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Benchmarking of computational error-correction methods for next-generation sequencing data
- DOI:10.1186/s13059-020-01988-3
- 发表时间:2020-03-17
- 期刊:
- 影响因子:12.3
- 作者:Mitchell, Keith;Brito, Jaqueline J.;Mangul, Serghei
- 通讯作者:Mangul, Serghei
What connectomics can learn from genomics.
- DOI:10.1371/journal.pgen.1009692
- 发表时间:2021-07
- 期刊:
- 影响因子:4.5
- 作者:Chen PB;Flint J
- 通讯作者:Flint J
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{{ truncateString('JONATHAN FLINT', 18)}}的其他基金
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
提高重度抑郁症基因研究的可解释性以识别风险基因
- 批准号:
10504696 - 财政年份:2022
- 资助金额:
$ 69.93万 - 项目类别:
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes
提高重度抑郁症基因研究的可解释性以识别风险基因
- 批准号:
10646326 - 财政年份:2022
- 资助金额:
$ 69.93万 - 项目类别:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
- 批准号:
10656229 - 财政年份:2020
- 资助金额:
$ 69.93万 - 项目类别:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
- 批准号:
10410474 - 财政年份:2020
- 资助金额:
$ 69.93万 - 项目类别:
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
结合声音和遗传信息来检测重度抑郁症的异质性
- 批准号:
10238767 - 财政年份:2020
- 资助金额:
$ 69.93万 - 项目类别:
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents
开发从遗传位点到啮齿动物复杂性状基因的途径
- 批准号:
10197749 - 财政年份:2018
- 资助金额:
$ 69.93万 - 项目类别:
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