Phenotype-based approach to find gene interactions underlying breast cancer risk
Phenotype-based approach to find gene interactions underlying breast cancer risk
批准号:
8118770
负责人:
AMANDA G PAULOVICH
金额:
$25.95万
依托单位国家:
美国
项目类别:
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-27 至 2013-07-31
关键词:
AllelesAntibody TherapyBRCA1 geneBiological MarkersBreastCandidate Disease GeneCell LineChemopreventionChromosome MappingDNA DamageDNA copy numberDataDefectDiseaseDisease susceptibilityEarly identificationEngineeringEpithelial CellsFunctional disorderGamma RaysGene TargetingGenesGeneticGenetic EpistasisGenetic ScreeningGenotypeGoalsHomologous GeneHumanIndividualLaboratoriesLiquid substanceMalignant NeoplasmsMammalian CellMammary NeoplasmsMammary glandMeasuresMediatingMinorMolecularMutationNBS1 genePTEN genePhenotypePopulationPredispositionPreventionPrevention strategyPublic HealthQuantitative Trait LociRNA InterferenceRelative (related person)Reverse Transcriptase Polymerase Chain ReactionRiskSTK11 geneSaccharomyces cerevisiaeScreening for cancerScreening procedureSeriesStratificationSyndromeSystemTEP1 geneTestingTreatment ProtocolsTumor Suppressor GenesTumor Suppressor ProteinsUltraviolet RaysWestern BlottingWomanXRCC3 geneYeastsbasecancer riskcost effectivedeletion librarydesigndisorder riskgene interactiongenetic associationgenetic linkage analysisgenome wide association studyhormone therapyinnovationkillingsknock-downmalignant breast neoplasmmutantprogramsresponsesmall hairpin RNAsynergismtherapeutic targetvectoryeast genetics
中文摘要
描述(由申请人提供):鉴定导致常见(非孟德尔)乳腺癌形式的基因将使早期识别高危个体和定制预防和治疗方案成为可能。这是一个极其困难的问题,因为常见形式的乳腺癌的遗传风险是多基因-基因相互作用的结果,每个基因对风险的贡献很小。标准方法(如遗传关联研究)在检测潜在风险的许多基因-基因相互作用方面能力不足。我们提出了一种基于表型的方法来预测常见形式乳腺癌的潜在风险的基因-基因相互作用。该方法是基于观察到细胞DNA损伤反应(乳腺癌易感性的中间表型)中的缺陷是可遗传的,这使得绘制导致这种表型的基因-基因相互作用成为可能。我们假设控制DNA损伤敏感性的基因-基因相互作用在酵母和人类之间是保守的。我们的方法将是:i)使用酿酒酵母进行全基因组筛选,寻找与人类乳腺癌肿瘤抑制基因同源物协同作用的突变,从而赋予其对DNA损伤的敏感性;ii)在这些已确定的合成相互作用中筛选那些在人类乳腺上皮细胞中保守的相互作用。
英文摘要
DESCRIPTION (provided by applicant): Identification of genes contributing to common (non-Mendelian) forms of breast cancer would enable early identification of individuals at risk and tailoring of prevention and treatment regimens. This is an extremely difficult problem since heritable risk for common forms of breast cancer is a result of multiple gene-gene interactions, with each individual gene making only a minor contribution to risk. Standard approaches (e.g. genetic association studies) are underpowered to detect the many gene-gene interactions underlying risk. We propose a phenotype-based approach to predict gene-gene interactions underlying risk for common forms of breast cancer. The approach is based on the observation that defects in the cellular DNA damage response (an intermediate phenotype for breast cancer susceptibility) are heritable, making it possible to map gene-gene interactions responsible for this phenotype. We hypothesize that gene-gene interactions governing sensitivity to DNA damage are conserved between yeast and humans. Our approach will be to: i) use the yeast S. cerevisiae to perform genome-wide screens for mutations that synergize with homologs of human breast cancer tumor suppressor genes to confer sensitivity to DNA damage, and ii) to screen amongst these identified synthetic interactions for those that are conserved in human mammary epithelial cells.
Specific Aim 1: Perform genome-wide screens in S. cerevisiae to identify mutations that synergize with yeast homologs of human breast cancer tumor suppressor genes to produce sensitivity to DNA damage.
Specific Aim 2: Using RNA interference, build human mammary epithelial cell lines that have stable knock- down of breast tumor suppressor genes.
Specific Aim 3: Determine if genetic interactions discovered in yeast are conserved in human breast epithelial cells.
PROJECT NARRATIVE: Determination of an individual's risk for developing cancer could have tremendous public health impact in several ways: i) identifying risk alleles for breast cancer will facilitate cost-effective cancer screening programs tailored to an individual's risk profile; ii) identifying risk alleles will allow identification of women who will most benefit from prevention strategies; iii) identifying risk alleles will elucidate the pathophysiology of the disease, leading to targeted therapeutics or chemoprevention agents such as existing targeted hormonal and antibody therapies.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1016/j.dnarep.2010.04.007
发表时间:
2010-07-01
期刊:
DNA repair
影响因子:
3.8
作者:
[Murakami-Sekimata A, Huang D, Piening BD, Bangur C, Paulovich AG]
通讯作者:
Paulovich AG
DNA Replication Stress Phosphoproteome Profiles Reveal Novel Functional Phosphorylation Sites on Xrs2 in Saccharomyces cerevisiae.
DNA 复制应激磷酸化蛋白质组谱揭示了酿酒酵母 Xrs2 上的新功能磷酸化位点。
DOI:
10.1534/genetics.115.185231
发表时间:
2016
期刊:
Genetics
影响因子:
3.3
作者:
[Huang,Dongqing, Piening,BrianD, Kennedy,JacobJ, Lin,Chenwei, Jones-Weinert,CoreyW, Yan,Ping, Paulovich,AmandaG]
通讯作者:
Paulovich,AmandaG
Novel connections between DNA replication, telomere homeostasis, and the DNA damage response revealed by a genome-wide screen for TEL1/ATM interactions in Saccharomyces cerevisiae.
酿酒酵母中 TEL1/ATM 相互作用的全基因组筛选揭示了 DNA 复制、端粒稳态和 DNA 损伤反应之间的新联系。
DOI:
10.1534/genetics.113.149849
发表时间:
2013
期刊:
Genetics
影响因子:
3.3
作者:
[Piening,BrianD, Huang,Dongqing, Paulovich,AmandaG]
通讯作者:
Paulovich,AmandaG
Core - Biomarker Developmental Laboratory (BDL)
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批准号:10701482
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项目类别:
-
资助金额:$57.79万
-
财政年份:2023
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负责人:AMANDA G PAULOVICH
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依托单位:
Admin Core
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批准号:10701481
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项目类别:
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资助金额:$17.46万
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财政年份:2023
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负责人:AMANDA G PAULOVICH
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依托单位:
Clinical translation of a NexGen platform for quantifying protein networks in human biospecimens
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批准号:10441259
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项目类别:
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资助金额:$68.59万
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财政年份:2019
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负责人:AMANDA G PAULOVICH
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依托单位:
Clinical translation of a NexGen platform for quantifying protein networks in human biospecimens
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项目类别:
-
资助金额:$69.28万
-
财政年份:2019
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负责人:AMANDA G PAULOVICH
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依托单位:
Clinical translation of a NexGen platform for quantifying protein networks in human biospecimens
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项目类别:
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资助金额:$70.24万
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财政年份:2019
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负责人:AMANDA G PAULOVICH
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依托单位:
Clinical translation of a NexGen platform for quantifying protein networks in human biospecimens
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批准号:10190852
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项目类别:
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资助金额:$0.0万
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财政年份:2019
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依托单位:
Advanced development of immuno-MRM technology to analyze archived cancer tissues
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批准号:8547605
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项目类别:
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资助金额:$43.1万
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财政年份:2013
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负责人:AMANDA G PAULOVICH
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依托单位:
Discovering tissue-specific biomarkers of radiation injury in SILAC-labeled mice
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批准号:8370399
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项目类别:
-
资助金额:$44.0万
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财政年份:2012
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负责人:AMANDA G PAULOVICH
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依托单位:
Discovering tissue-specific biomarkers of radiation injury in SILAC-labeled mice
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批准号:8662694
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项目类别:
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资助金额:$44.0万
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财政年份:2012
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负责人:AMANDA G PAULOVICH
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依托单位:
Discovering tissue-specific biomarkers of radiation injury in SILAC-labeled mice
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批准号:8484349
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项目类别:
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资助金额:$44.0万
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财政年份:2012
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负责人:AMANDA G PAULOVICH
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依托单位:
Population-based study of DNA damage response markers of prognosis in breast canc
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批准号:8181518
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项目类别:
-
资助金额:$19.98万
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财政年份:2010
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负责人:AMANDA G PAULOVICH
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依托单位:
Cross-species network approach to predict epistatic cancer susceptibility genes
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批准号:7692160
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资助金额:$58.0万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Minimizing mass panic with saliva tests for radiation exposure
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资助金额:$43.73万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Minimizing mass panic with saliva tests for radiation exposure
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项目类别:
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资助金额:$43.12万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Cross-species network approach to predict epistatic cancer susceptibility genes
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批准号:8134972
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项目类别:
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资助金额:$55.18万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Minimizing mass panic with saliva tests for radiation exposure
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项目类别:
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Minimizing mass panic with saliva tests for radiation exposure
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项目类别:
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资助金额:$43.12万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Cross-species network approach to predict epistatic cancer susceptibility genes
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批准号:8321897
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项目类别:
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资助金额:$53.54万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Minimizing mass panic with saliva tests for radiation exposure
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批准号:7642516
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项目类别:
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资助金额:$44.0万
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财政年份:2008
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负责人:AMANDA G PAULOVICH
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依托单位:
Phenotype-based approach to find gene interactions underlying breast cancer risk
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批准号:7901635
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项目类别:
-
资助金额:$26.75万
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财政年份:2007
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负责人:AMANDA G PAULOVICH
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依托单位:
海外基金