The Duke FUNCTION Center: Pioneering the comprehensive identification of combinatorial noncoding causes of disease
杜克大学功能中心:开创了疾病组合非编码原因的全面识别
基本信息
- 批准号:10271500
- 负责人:
- 金额:$ 248.99万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-09-24 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
ABSTRACT: Noncoding genetic variation that alters gene regulatory element activity has major impacts on
health, disease, and evolution. Because measuring regulatory element activity has long been a major challenge,
the mechanisms underlying thousands of genetic associations with disease remain unknown. Recent advances
in high-throughput technologies have disruptively advanced the ability to measure the activity of individual
regulatory elements, and the first population- and genome-scale uses of those methods are now underway.
However, regulatory elements do not act alone. They interact with promoters, other regulatory elements, and the
surrounding chromatin, all in ways that are complex and difficult to predict. Though there are now a plethora of
technologies to measure the activity of individual regulatory elements, the ability to recapitulate the effects of
combinations of regulatory elements is woefully inadequate and severely hinders efforts to establish the gene
regulatory contributions to traits and diseases. The goal of the Duke FUNCTION Center of Excellence in
Genomic Science is to make the study of the combinatorial activity of regulatory elements routine. Aim
1 is to develop a suite of new technologies to measure the combinatorial effects of regulatory elements in their
endogenous genomic contexts. Those technologies will leverage very recent discoveries of CRISPR enzymes
other than Cas9 that greatly expand the ability to manipulate the human genome. Aim 2 is to develop the matched
computational, statistical, and evolutionary models needed to interpret and predict the measured effects of
combinations of regulatory variants on human traits and diseases. Aim 3 is to demonstrate the broad applicability
of the technologies developed through case studies of human diseases with prevalence ranging from common
to ultra rare. Example case studies will include studies of schizophrenia, rare recessive disorders, and
undiagnosed genetic disorders. We will also use a nationwide request for applications to identify Pilot Projects
that will expand applications to other disease areas. Aim 4 is to create an electronic platform for distributing
results from functional studies of the noncoding genome to the broad research community. The platform will
integrate our results with those from studies in other labs and consortia, such as ENCODE; and will enable
researchers with diverse expertise to benefit from the Center. Finally, our Education and Outreach Aim is to
expand genomics capacity locally and nationally, and with a particular emphasis on increasing use of our new
technologies for translational research. The expected outcome of this project will be a paradigm shift in human
genetic and genomics in which it will become possible to finally understand the full regulatory complexity that
controls the expression of human genes. We anticipate that ability will be particularly powerful for translating
genetic associations into disease mechanisms, thus creating a windfall of new knowledge about which genes
contribute most to disease, and how to manipulate those genes for therapeutic benefit. Long term, we envision
this work being critical to realizing the full potential of whole genome sequencing to detect causes of disease.
摘要:改变基因调控元件活性的非编码遗传变异对
健康、疾病和进化。因为衡量监管要素的活动长期以来一直是一项重大挑战,
数以千计的基因与疾病相关的潜在机制仍不清楚。最新进展
高通量技术颠覆性地提高了衡量个人活动的能力
监管要素,以及这些方法的第一次群体和基因组规模的使用现在正在进行。
然而,监管因素并不是单独行动的。它们与发起人、其他监管元素以及
围绕着染色质,所有的方式都是复杂的,很难预测。尽管现在有太多的
衡量单个监管要素的活动的技术,概括影响的能力
调控元素的组合严重不足,严重阻碍了建立该基因的努力
对性状和疾病的监管贡献。杜克大学卓越功能中心的目标是
基因组科学是使对调控元件组合活性的研究常规化。目标
1是开发一套新技术来衡量其监管元素的组合效应
内源基因组环境。这些技术将利用CRISPR酶的最新发现
而不是Cas9,这大大扩展了操纵人类基因组的能力。目标2是开发匹配的
解释和预测测量的影响所需的计算、统计和进化模型
人类特征和疾病的调控变异的组合。目标3是展示其广泛的适用性。
通过人类疾病个案研究开发的技术,其流行率从常见的
变得极其稀有。范例案例研究将包括对精神分裂症、罕见隐性障碍和
未确诊的遗传性疾病。我们还将利用全国性的申请申请来确定试点项目
这将扩大到其他疾病领域的应用。目标4是创建一个电子分发平台
从非编码基因组的功能研究到广泛的研究社区的结果。该平台将
将我们的结果与ENCODE等其他实验室和联盟的研究结果相结合,并将使
拥有不同专业知识的研究人员将从该中心受益。最后,我们的教育和外展目标是
扩大当地和全国的基因组学能力,并特别强调增加我们新的
翻译研究的技术。这个项目的预期结果将是人类的范式转变
遗传学和基因组学,它将有可能最终理解
控制人类基因的表达。我们预计,这种能力在翻译方面将特别强大
基因与疾病机制的关联,从而创造了关于哪些基因的意外之财
对疾病的贡献最大,以及如何操纵这些基因以获得治疗效益。从长远来看,我们设想
这项工作对于实现全基因组测序检测疾病原因的全部潜力至关重要。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins.
- DOI:10.1093/nar/gkad872
- 发表时间:2023-11-27
- 期刊:
- 影响因子:14.9
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{{ truncateString('ANDREW S ALLEN', 18)}}的其他基金
Design, prediction, and prioritization of systematic perturbations of the human genome
人类基因组系统扰动的设计、预测和优先级排序
- 批准号:
10665666 - 财政年份:2021
- 资助金额:
$ 248.99万 - 项目类别:
Design, prediction, and prioritization of systematic perturbations of the human genome
人类基因组系统扰动的设计、预测和优先级排序
- 批准号:
10473740 - 财政年份:2021
- 资助金额:
$ 248.99万 - 项目类别:
Design, prediction, and prioritization of systematic perturbations of the human genome
人类基因组系统扰动的设计、预测和优先级排序
- 批准号:
10295506 - 财政年份:2021
- 资助金额:
$ 248.99万 - 项目类别:
Quantifying the genetic diversity of human regulatory element activity
量化人类调控元件活性的遗传多样性
- 批准号:
10404498 - 财政年份:2019
- 资助金额:
$ 248.99万 - 项目类别:
Robust Methods for the Efficient Analysis and Integration of DNA Sequence Data
DNA 序列数据高效分析和整合的稳健方法
- 批准号:
7692191 - 财政年份:2008
- 资助金额:
$ 248.99万 - 项目类别:
Robust Methods for the Efficient Analysis and Integration of DNA Sequence Data
DNA 序列数据高效分析和整合的稳健方法
- 批准号:
8064557 - 财政年份:2008
- 资助金额:
$ 248.99万 - 项目类别:
Robust Methods for the Efficient Analysis and Integration of DNA Sequence Data
DNA 序列数据高效分析和整合的稳健方法
- 批准号:
7892941 - 财政年份:2008
- 资助金额:
$ 248.99万 - 项目类别:
Advanced Haplotype Analyses in Coronary Artery Disease
冠状动脉疾病的高级单倍型分析
- 批准号:
6934516 - 财政年份:2004
- 资助金额:
$ 248.99万 - 项目类别:
Advanced Haplotype Analyses in Coronary Artery Disease
冠状动脉疾病的高级单倍型分析
- 批准号:
7437286 - 财政年份:2004
- 资助金额:
$ 248.99万 - 项目类别:
Advanced Haplotype Analyses in Coronary Artery Disease
冠状动脉疾病的高级单倍型分析
- 批准号:
7279291 - 财政年份:2004
- 资助金额:
$ 248.99万 - 项目类别:
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