DMS/NIGMS 1: Multilayer network approach to tandem repeat variation in genomes
DMS/NIGMS 1:基因组串联重复变异的多层网络方法
基本信息
- 批准号:10709591
- 负责人:
- 金额:$ 14.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-24 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:AffectBiochemicalBiological ProcessBiological SciencesComputing MethodologiesConserved SequenceDNAData SetGene ExpressionGeneticGenomeHumanHuman GenomeImmunityInstructionIonsMathematicsMeasuresMetabolismMinisatellite RepeatsMolecularNational Institute of General Medical SciencesPeatPhenotypePopulationResearchTandem Repeat SequencesTestingVariantbasedosagehuman diseaseinsightmammalian genomemathematical methodsparalogous genepressureresponsetooltrait
项目摘要
Understanding the genetic bases of biological function is a fundamental quest ion in biological sciences.
Traditionally, the conservation of genetic sequences across species and populations has been a primary
concept with which to measure functionality. However, recent biochemical characterizations of the DNA
have challenged this definition of functionality and argued up to 80% of the human genome to be
functional. Several studies have pursued the possibility that biological function evolves as an adaptive
response to rapid changes under environmental pressures whe reby sequence conservation does not
directly predict function. By integrating -omics datasets and multilayer network approaches, we will
specifically test the following four hypotheses: (1) Among the millions of tandem repeats, a small portion,
still corresponding to thousands of loci, are functionally relevant. We further hypothesize that majority of
these functional tandem repeats will be evolving under negative selection and pr imarily cluster together in
multilayer networks of tandem repeat units. (2) Exonic tandem repeats have evolved as molecular tools to
regulate the dosage of a particular functional motif. Thus, we expect that these functional tandem repeats
will retain sequence conservation among paralogs as well as among species. (3) There are hundreds of
tandem repeats in the mammalian genome that evolve under lineage-specific positive selection. We
expect that such positively selected tandem re peats show unusual species-specific copy number
expansions or contractions, and may affect gene expression and phenotypic traits more often than
neutrally evolving tandem repeats. (4) Tandem-repeat copy numbe r variation, if functional, primarily
effects phenotypic variation related to immunity and metabolism in humans. We expect that these repeat
loci evolve under positive selection. To test these hypotheses, we will develop
mathematical/computational methods to find groups of core nodes in multilayer genetic networks, and
then apply them to multilayer networks that we will build, in which each network layer is based on a
specific type of relationships between tandem repeat units.
RELEVANCE (See instructions):
Understanding genetic bases of biological function can alleviate ou r ability to understand and treat human
disease. However, variable tandem repeats in the human genome have been difficult to characterize for
functional and biomedical relevance. This research will leverage recently available long-read sequencing
datasets to develop mathematical methods to investigate tandemly repeated sequences in the human
genome, thus providing potentially transformative insights into genetic basis of human disease.
P ROJ ECT/ P E R FO R M A N C E SI T E(S) (if ad di tional space is need ed , use
了解生物功能的遗传基础是生物科学的一项基本探索。
传统上,跨物种和种群的遗传序列的保护一直是主要的
用来衡量功能的概念。然而,DNA的最新生化特征
对这种功能的定义提出了质疑,并辩称人类基因组的80%是
功能齐全。几项研究一直在追寻这样一种可能性,即生物功能作为一种适应性进化
在环境压力下对快速变化的反应,而Reby序列保守不能
直接预测函数。通过整合组学数据集和多层网络方法,我们将
具体检验以下四个假设:(1)在数百万个串联重复序列中,
仍然与数千个基因座相对应,它们在功能上是相关的。我们进一步假设,大多数
这些功能串联重复序列将在负选择下进化,并基本聚集在一起
串联重复单元的多层网络。(2)外显子串联重复序列已进化为分子工具
调节特定功能基元的剂量。因此,我们预计这些功能串联重复序列
将在对虾之间以及物种之间保持序列保守。(3)有数百种
Tandem在哺乳动物基因组中重复,在特定血统的正选择下进化。我们
预计这种积极选择的串联重复泥炭会显示出不寻常的物种特定拷贝数
扩张或收缩,对基因表达和表型性状的影响可能比
中性进化的串联重复序列。(4)串联重复拷贝数变化,如果功能正常,主要
与人类免疫和新陈代谢相关的表型变异的影响。我们预计这些情况会重演
基因座在正向选择下进化。为了测试这些假设,我们将开发
在多层遗传网络中寻找核心节点组的数学/计算方法,以及
然后将它们应用于我们将构建的多层网络,其中每个网络层都基于
串联重复单位之间的特定类型的关系。
相关性(请参阅说明):
了解生物功能的遗传基础可以降低理解和治疗人类的能力
疾病。然而,人类基因组中的可变串联重复序列很难表征
功能和生物医学的相关性。这项研究将利用最近可用的长阅读测序
数据集开发数学方法来研究人类中的随机重复序列
基因组,从而为人类疾病的遗传基础提供了潜在的变革性见解。
P ROJ ECT/P E R FO R M A N C E SI T E(S)(如果需要其他空间,请使用
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)
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Naoki Masuda其他文献
Naoki Masuda的其他文献
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{{ truncateString('Naoki Masuda', 18)}}的其他基金
DMS/NIGMS 1: Multilayer network approach to tandem repeat variation in genomes
DMS/NIGMS 1:基因组串联重复变异的多层网络方法
- 批准号:
10592458 - 财政年份:2022
- 资助金额:
$ 14.74万 - 项目类别:
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