Genome-wide screen for dynamic gene-environment interactions
用于动态基因-环境相互作用的全基因组筛选
基本信息
- 批准号:10703433
- 负责人:
- 金额:$ 7.88万
- 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:2022-09-13 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AlgorithmsApplied GeneticsBiologyChromosome MappingClinical ResearchComplexComputer softwareDataData AnalysesData SetDetectionDiseaseDisease susceptibilityEnvironmental ExposureEnvironmental Risk FactorEtiologyExposure toFamilyFutureGenesGeneticGenetic ModelsGoalsHeartIndividualInternationalJointsLinear RegressionsMethodsModelingNon-linear ModelsPersonsPharmacology StudyPreventionPrevention strategyPrognosisPublic HealthResearchSample SizeScientistSpeedTestingVariantbiobankfamily structureflexibilitygene environment interactiongenetic associationgenetic pedigreegenetic variantgenome wide association studygenome wide screengenome-widelarge datasetspopulation basedpopulation stratificationsemiparametricsimulationtheoriestooltraittreatment strategyvariant detection
项目摘要
Project Summary/Abstract
The etiology of most common complex diseases involves not only discrete genetic and environmental factors,
but also interactions between them. However, in genome-wide association studies (GWAS) scientists have
mostly examined the marginal effects of genetic factors without incorporating gene-environment interaction
(GxE). The central hypothesis in the proposal is that incorporating GxE in GWAS will enhance the power to
detect genetic association for variants that confer disease susceptibility subject to exposure to environmental
risk factors. The goal of the proposed study is to develop powerful methods to identify genetic associations by
incorporating nonlinear GxE through a semiparametric approach in a unified framework for GWAS and to im-
plement the methods in scalable software. The first specific aim is to simultaneously test gene and GxE when
correlation among subjects is negligible; the second specific aim is to simultaneously test gene and GxE where
correlation among subjects is explicitly modeled. Validity, power, and computational efficiency of the proposed
methods will be examined by simulations and real data analyses. Upon completion of the proposed studies, a
computationally efficient tool that is implemented with a powerful approach to simultaneously test gene and
GxE for both population-based and family-based studies will be delivered. The method and tool shall increase
the power of detecting variants interacting with environmental factors to influence a trait in GWAS. Detecting
such genetic variants will provide a focal point for future mechanistic, pharmacological, and clinical studies.
项目总结/文摘
项目成果
期刊论文数量(0)
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Genome-wide screen for dynamic gene-environment interactions
用于动态基因-环境相互作用的全基因组筛选
- 批准号:
10431662 - 财政年份:2022
- 资助金额:
$ 7.88万 - 项目类别:














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