Enhancing Global Diversity in Cancer Clinical Genetics
Enhancing Global Diversity in Cancer Clinical Genetics
批准号:
10164921
负责人:
Jinbo Chen
金额:
$17.77万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-18 至 2022-08-31
关键词:
AddressAfrica South of the SaharaAgeBRCA1 geneBRCA2 geneBreastBreast Cancer Risk FactorCaucasiansCessation of lifeChemopreventionClinicalClinical ManagementColorectalCounselingDNA Sequence AlterationDataDevelopmentDiagnosisEndometrialEuropeanEvaluationEvaluation ResearchFeasibility StudiesGeneticGenetic CounselingGenetic Predisposition to DiseaseGenetic ProcessesGenetic ResearchGenetic RiskGoalsGuidelinesHealthHealth systemHereditary Malignant NeoplasmHereditary Nonpolyposis Colorectal NeoplasmsIncidenceIndividualInheritedInterventionMalignant NeoplasmsMalignant neoplasm of prostateMedical GeneticsMilitary HospitalsMutateMutationNigerianOperative Surgical ProceduresOvarianPathogenicityPatientsPersonal CommunicationPoly(ADP-ribose) PolymerasesPopulationPopulation HeterogeneityPrevalencePreventionProstateProtocols documentationResearchResourcesRiskRwandaSystems IntegrationTP53 geneTeaching HospitalsTestingTreatment ProtocolsUniversitiesactionable mutationcancer geneticscancer riskclinical translationethnic diversityevidence basegenetic informationgenetic testinghealth care settingshealth disparityimprovedinhibitor/antagonistinterestmalignant breast neoplasmmortalitymutation carrierracial diversityresponsetooltumor
中文摘要
点击翻译按钮获取中文摘要
英文摘要
PROJECT SUMMARY/ABSTRACT
This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA-
20-032.
Inherited genetic information can reduce cancer risk and mortality using protocols for patient
ascertainment, testing, counseling, prevention, and treatment. There is growing evidence that inherited genetic
mutations represent a large proportion of cancer cases in sub-Saharan Africa (SSA). Nigerian breast cancer
cases have a 2.5-fold higher rate of inherited susceptibility mutations than US Whites, with BRCA2 being the
most commonly mutated in Nigerian breast cancer, and higher rates of BRCA and TP53 mutations compared
to observations made in Caucasians in Rwanda. These preliminary observations highlight the need for further
large studies to better define the inheritance of breast cancer risk in SSA.
Most cancer genetic testing data does not represent the racial and ethnic diversity of the US or global
population. This deficit of diverse populations in cancer genetics research limits the application of these data to
all populations. In addition, it has been demonstrated that genetic misdiagnoses can arise when diverse
populations and their mutational spectrum is not included when making inferences about pathogenicity and risk
and can exacerbate health disparities. Thus, studies that include a broader spectrum of individuals in cancer
genetics research will benefit all populations.
In order to develop and evaluate the potential for genetic testing in SSA, we propose a proof of concept
feasibility study of hereditary cancer that will contribute data on the prevalence of hereditary cancer mutations
in SSA and inform the development of SSA-specific guidelines for cancer genetic testing. We will address
these goals by undertaking the following specific aims: Specific Aim 1: Develop and evaluate a set of
essential cancer genetic protocols for cancer genetic testing, counseling, and management in low resource
settings; and Specific Aim 2: Undertake a pilot evaluation of research genetic testing and counseling in 100
breast and prostate cancer cases in Rwanda.
The proposed pilot research will not only enhance cancer genetics research and clinical translation in SSA
but will address the critical need for increased ethnic diversity in cancer genetics data, which to date has been
dominated by European ancestry data. Ethnically diverse genetic data will aid in the appropriate development
and implementation of cancer genetic testing for all populations, and in particular will reduce the potential for
genetic misdiagnoses and improved interpretation of cancer genetic risk in US populations.
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会议论文
Data and Information Integration for Risk Prediction in the Era of Big Data
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批准号:10021609
-
项目类别:
-
资助金额:$43.47万
-
财政年份:2019
-
负责人:Jinbo Chen
-
依托单位:
Data and Information Integration for Risk Prediction in the Era of Big Data
-
批准号:10480872
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项目类别:
-
资助金额:$39.54万
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财政年份:2019
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负责人:Jinbo Chen
-
依托单位:
Data and Information Integration for Risk Prediction in the Era of Big Data
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批准号:10249251
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项目类别:
-
资助金额:$9.62万
-
财政年份:2019
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负责人:Jinbo Chen
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依托单位:
Precision Assessment and Delivery of Cancer Risks in BRCA 1/2 Mutation Cancers
-
批准号:10228006
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项目类别:
-
资助金额:$67.6万
-
财政年份:2017
-
负责人:Jinbo Chen
-
依托单位:
Precision Assessment and Delivery of Cancer Risks in BRCA 1/2 Mutation Cancers
-
批准号:9762870
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项目类别:
-
资助金额:$66.1万
-
财政年份:2017
-
负责人:Jinbo Chen
-
依托单位:
Precision Assessment and Delivery of Cancer Risks in BRCA 1/2 Mutation Cancers
-
批准号:9381396
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项目类别:
-
资助金额:$73.23万
-
财政年份:2017
-
负责人:Jinbo Chen
-
依托单位:
Precision Assessment and Delivery of Cancer Risks in BRCA 1/2 Mutation Cancers
-
批准号:9567099
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项目类别:
-
资助金额:$64.23万
-
财政年份:2017
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods for Cancer Absolute Risk Prediction
-
批准号:8503712
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项目类别:
-
资助金额:$35.35万
-
财政年份:2013
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods for Cancer Absolute Risk Prediction
-
批准号:8619604
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项目类别:
-
资助金额:$32.83万
-
财政年份:2013
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods for Cancer Absolute Risk Prediction
-
批准号:9052041
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项目类别:
-
资助金额:$33.85万
-
财政年份:2013
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods for Cancer Absolute Risk Prediction
-
批准号:8868953
-
项目类别:
-
资助金额:$33.85万
-
财政年份:2013
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods in Genetic Epidemiology Research
-
批准号:8257883
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项目类别:
-
资助金额:$31.54万
-
财政年份:2008
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods in Genetic Epidemiology Research
-
批准号:7598946
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项目类别:
-
资助金额:$31.61万
-
财政年份:2008
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods in Genetic Epidemiology Research
-
批准号:7448408
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项目类别:
-
资助金额:$32.25万
-
财政年份:2008
-
负责人:Jinbo Chen
-
依托单位:
Statistical Methods in Genetic Epidemiology Research
-
批准号:8052726
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项目类别:
-
资助金额:$31.46万
-
财政年份:2008
-
负责人:Jinbo Chen
-
依托单位:
A partially Linear Tree-based Regression Model for Assessing Complex Joint Gene-g
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批准号:7409706
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项目类别:
-
资助金额:$7.88万
-
财政年份:2007
-
负责人:Jinbo Chen
-
依托单位:
A partially Linear Tree-based Regression Model for Assessing Complex Joint Gene-g
-
批准号:7265081
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项目类别:
-
资助金额:$7.87万
-
财政年份:2007
-
负责人:Jinbo Chen
-
依托单位:
海外基金