Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis
在跨祖先荟萃分析中揭示性别特异性遗传结构的方法
基本信息
- 批准号:10445464
- 负责人:
- 金额:$ 81.28万
- 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:2022-08-10 至 2027-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAlcohol consumptionBiologyBloodBlood PressureCause of DeathCollaborationsComplementComplexDataData AnalysesData SetDiseaseEnvironmental ExposureEuropeanFemaleFrequenciesGeneticGenetic HeterogeneityGenetic ModelsGenetic ResearchGenetic studyHeartHeterogeneityHuman GeneticsIndividualJointsLicensingLinkage DisequilibriumLipidsLungMeta-AnalysisMethodologyMethodsModelingNational Human Genome Research InstituteNon-Insulin-Dependent Diabetes MellitusObesityPatternPhenotypePopulationPopulation HeterogeneityPrevention strategyPrivacyResearchResearch PersonnelResolutionResource SharingRisk FactorsSample SizeSamplingSeriesSex RatioSoftware ToolsStrategic PlanningTobacco useTrainingUnited States National Institutes of HealthVariantaddictionancestry analysisbasecausal variantgenetic architecturegenetic associationgenetic variantgenome wide association studygenomic locusgenotypic seximprovedinnovationmalemethod developmentmulti-ethnicnovelnovel therapeuticspolygenic risk scorepublic health relevancerare variantrisk predictionsexstatisticstooltrait
项目摘要
ABSTRACT
Large scale genetic datasets have revolutionized human genetic research. In the past decade, genome-wide
association studies have identified numerous genetic variants associated with various complex traits. These
discoveries have informed new biology and led to novel therapeutics. Yet, most studies focused on European
samples and most of the studies were conducted by pooling both sexes together. Sex-specific genetic
architecture in diverse populations remains largely elusive. As the next step, consortia efforts have begun to
aggregate datasets from diverse non-European populations. Meta-analysis is often employed in large consortium
studies There is a compelling need to develop methods that can effectively conduct trans-ancestry meta-
analysis. To this end, we will develop a series of innovative methods to improve the power for association
mapping, the precision of fine mapping and the accuracy of polygenic predictions in trans -ancestry analysis.
Resulting methods will be applied to a series of heart, lung, and blood related traits, in collaboration with a
number of consortia studies. This is a continuation of our strong track record of method development in statistical
genetics. We will implement the methods into a few widely used tools, including RVTESTS, SEQMINER, and
RAREMETAL, which will not only benefit our own study but also other researchers in the field.
摘要
项目成果
期刊论文数量(0)
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科研奖励数量(0)
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Bibo Jiang其他文献
Bibo Jiang的其他文献
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{{ truncateString('Bibo Jiang', 18)}}的其他基金
Integrative genomic and geospatial analysis of insurance claim, biobank and GWAS summary statistics for complex traits
保险索赔的综合基因组和地理空间分析、生物库和复杂性状的 GWAS 汇总统计
- 批准号:
10595104 - 财政年份:2023
- 资助金额:
$ 81.28万 - 项目类别:
Methods to unveil sex-specific genetic architecture in trans-ancestry meta-analysis
在跨祖先荟萃分析中揭示性别特异性遗传结构的方法
- 批准号:
10681351 - 财政年份:2022
- 资助金额:
$ 81.28万 - 项目类别:
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