MolQTL: A comprehensive resource for molecular quantitative trait loci in human cancer.
MolQTL:人类癌症分子数量性状位点的综合资源。
基本信息
- 批准号:10427368
- 负责人:
- 金额:$ 37.88万
- 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
- 起止时间:2021-06-11 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:Antineoplastic AgentsArthritisCRISPR/Cas technologyCategoriesClinicalClinical TrialsCommunitiesComplexDataData SetDepositionDiseaseEducational workshopEpigenetic ProcessEventGenetic PolymorphismGenomicsGenotypeGoalsHeart DiseasesHumanHuman GeneticsImmuneIndividualInvestigationLinkLinkage DisequilibriumMalignant NeoplasmsMapsMediationMethylationMolecularMultiomic DataNucleotidesPatientsPharmaceutical PreparationsPlayPolyadenylationPost-Transcriptional RegulationProteinsProteomicsQuantitative Trait LociRNA EditingRNA SplicingResearchResearch PersonnelResourcesRiskRoleSamplingSeriesShapesSingle Nucleotide PolymorphismStatistical MethodsTechnologyThe Cancer Genome AtlasTimeTranslatingUntranslated RNAUntranslated RegionsUpdateVariantbasebiobankcancer typecausal variantdata portaldata resourcedatabase of Genotypes and Phenotypesdisorder riskgenetic architecturegenetic variantgenome editinggenome wide association studyhigh throughput technologymetabolomicsmicrobiomemolecular phenotypemultidimensional datanovelnovel diagnosticsnovel therapeutic interventiononline resourcephenotypic dataprecision medicineprognosticresponsetherapeutic targettraittranslational medicineuser-friendly
项目摘要
Abstract
important
noncoding
functional
data Our group
constructed a series of data portals for molQTLs, including data portals for expression QTLs (eQTLs),
methylation QTLs (meQTLs), and splicing QTLs (sQTLs) based on a large number of cancer samples from
TCGA. We demonstrated that these QTLs are associated with patient survival, and/or overlap with GWAS
linkage disequilibrium regions. These related data resources have been broadly accessed since their releases,
nucleotide polymorphisms (SNPs), the most common type of human genetic variants, play
roles in shaping complex human traits and causing diseases. Most risk-related SNPs are located in
regions and it remains a challenge to understand the effects and molecular mechanisms of
SNPs . ) analysis is a statistical method to link genotyping
and molecular phenotype data to interpret the effects of genetic variants in complex traits.
Single
,
Molecular quantitative trait loci (MolQTL
and highlighted
discovery
the opportunities t o understand the functional significance of genetic variants and to utilize the
of molQTLs in precision medicine.
The goal of this proposal is to enhance, expand, and promote our existing data resources that will
bridge the genetic variants and different molecular features through molQTL analysis, providing a unique data
resource for understanding the functional effects of genetic variants and facilitating access to and
understanding of complex datasets for non-expert users. In Aim 1, we will enhance our existing data resources
with additional analytical modules. We will identify molQTLs with highly efficient and accurate approaches (Aim
1.1). We will fine-map causal variants and causal effects through mediation analysis (Aim 1.2). We will
evaluate anti-cancer drug response from molQTLs (Aim 1.3). We will determine the associations between
genetic variants and immune features through molQTL analysis (Aim 1.4). In Aim 2, We will expand and
promote our existing data resources. We will identifyRNA editing QTLs (edQTLs, Aim 2.1), 3'-UTR alternative
polyadenylationQTLs (apaQTLs, Aim 2.2), andprotein QTLs (pQTLs, Aim 2.3). We will develop a unified data
portal to integrate all the molQTL types described in this proposal (Aim 2.4). We will promote MolQTL and
active interaction with the user community through providing written documents, video tutorial and hands-on
workshops (Aim 2.5). We expect that our molQTL data portal will serve as a comprehensive, unique, and user-
friendly data portal to identify and interpret the functional consequences of genetic variants.
摘要
项目成果
期刊论文数量(0)
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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Leng Han其他文献
Leng Han的其他文献
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{{ truncateString('Leng Han', 18)}}的其他基金
Systematic Characterization of Small Nucleolar RNAs in Cancer
癌症中小核仁 RNA 的系统表征
- 批准号:
10914508 - 财政年份:2023
- 资助金额:
$ 37.88万 - 项目类别:
Characterization of Alternative Polyadenylation in Alzheimer's Disease
阿尔茨海默病中替代多腺苷酸化的表征
- 批准号:
10321676 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
MolQTL: A comprehensive resource for molecular quantitative trait loci in human cancer.
MolQTL:人类癌症分子数量性状位点的综合资源。
- 批准号:
10593169 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
MolQTL: A comprehensive resource for molecular quantitative trait loci inhuman cancer.
MolQTL:人类癌症分子数量性状位点的综合资源。
- 批准号:
10933833 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
MolQTL: A comprehensive resource for molecular quantitative trait loci in human cancer.
MolQTL:人类癌症分子数量性状位点的综合资源。
- 批准号:
10181442 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
Systematic Characterization of Small Nucleolar RNAs in Cancer
癌症中小核仁 RNA 的系统表征
- 批准号:
10277525 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
Characterization of Alternative Polyadenylation in Alzheimer's Disease
阿尔茨海默病中替代多腺苷酸化的表征
- 批准号:
10363157 - 财政年份:2021
- 资助金额:
$ 37.88万 - 项目类别:
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