Incorporating intermediate biomarkers of folate with colorectal cancer
Incorporating intermediate biomarkers of folate with colorectal cancer
批准号:
8329606
负责人:
David V Conti
金额:
$46.29万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-09-07 至 2016-07-31
关键词:
Biological MarkersBoxingCandidate Disease GeneCarbonColonColorectalColorectal CancerComplexCreatinineDNA MethylationDataDiseaseDisease AssociationDisease PathwayEnvironmentFolateGene ExpressionGenesGeneticGenetic PolymorphismGenetic VariationGenotypeGoalsHomocysteineHomocystineIndividualInterdisciplinary StudyJointsLinkLymphocyteMTHFR geneMeasurementMeasuresMetabolismMethionineMethylmalonic AcidModelingMolecular EpidemiologyParentsPathway interactionsPeripheral Blood LymphocytePlasmaPopulationProcessResearch InfrastructureRiboflavinRoleSamplingScanningSiblingsSingle Nucleotide PolymorphismStatistical MethodsStatistical ModelsSystemTestingVariantWorkbasecarcinogenesiscase controlcolon cancer family registrydesignepidemiology studyfolic acid metabolismgene interactiongenetic associationgenetic epidemiologygenome wide association studygenome-wideinnovationinsightmalonic acidmethionine methyl esternovel
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): "Incorporating intermediate biomarkers of folate with colorectal cancer" The goal of this proposal is to measure intermediate biomarkers and to evaluate these with statistical methods designed to elucidate the underlying etiologic mechanism of colorectal cancer. The proposal leverages existing genetic data from studies conducted within the Colon Cancer Family Registry (Colon CFR), an NCI-supported consortium initiated in 1997 and dedicated to the establishment of a comprehensive collaborative infrastructure for interdisciplinary studies in the genetics and genetic epidemiology of colorectal cancer. The subjects include 1,531 controls genotyped in a candidate gene study of FOCM pathway genes (RO1CA112237), and 999 controls genotyped in a genome wide association study of colon CFR cases (U01CA122839). In these subjects, we will evaluate plasma measures within one carbon metabolism (plasma folate, vitamins B2, B6, B12, methionine, methyl malonic acid, creatinine, plasma total Hcy (tHcy), and DNA methylation in circulating lymphocytes (PBL)). In addition, we build upon our previous work in developing statistical methods for modeling genetic associations in putative disease pathways. These models integrate various levels of data, e.g. genotypes, gene expression, biomarkers, and exogenous exposures, with prior information to build more comprehensive statistical models for better prioritization, estimation, and characterization of genetic effects.
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