Confirmation of SNPs Associated with Aggressive PCa in a GWA Study
Confirmation of SNPs Associated with Aggressive PCa in a GWA Study
批准号:
8015277
负责人:
Jianfeng Xu
金额:
$56.53万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-04-04 至 2014-01-31
关键词:
AffectCancer PatientCandidate Disease GeneCase-Control StudiesCharacteristicsDataDiagnosisDiseaseDisease AssociationDisease ProgressionDisease susceptibilityFrequenciesFundingGenesGeneticGenetic MarkersGenetic PolymorphismGenetic Predisposition to DiseaseGenomeGenomicsGenotypeGrantHospitalsInheritedJointsLeadLinkage DisequilibriumMalignant NeoplasmsMalignant neoplasm of prostateMapsMethodsNatureOncogenesPathway interactionsPhenotypePopulationPopulation StudyPreventionProbabilityRequest for ApplicationsResearch DesignResearch PersonnelRiskRoleSample SizeSingle Nucleotide PolymorphismStagingStratificationStructure of base of prostateStudy SubjectSwedenTestingTimeUniversitiesVariantWorkcancer genomecancer riskcase controldesigndisorder riskexperiencefollow-upforestgenetic associationgenome wide association studygenome-widegenotyping technologyimprovedmennovelnovel strategiespopulation basedsuccess
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Title: Confirmation of SNPs Associated with Aggressive PCa in a GWA study A genetic predisposition to prostate cancer (PCa) is well established and is the strongest among all common cancers. Inherited sequence variants in a number of genes, each conferring a moderate risk, are believed to collectively underlie the genetic predisposition. To systematically identify these risk variants, we have initiated an ambitious genome-wide association (GWA) study that includes several large and well characterized study populations in Sweden and Johns Hopkins Hospital, totaling > 10,000 cases and controls. Thus far, we have completed the 1st stage of this proposed GWA by studying 550K SNPs, including 20K nonsynonymous SNPs, among 500 aggressive cases and 500 controls from a Swedish population (CAPS). To further improve the power of identifying moderate risk SNPs, we propose a study to considerably increase the sample size for a GWA and systematically follow-up a large number of SNPs among independent study populations. We propose four specific aims to test the hypothesis that inherited sequence variants in the genome may increase or modify PCa risk. Aim 1) As the 2nd stage, we will genotype 500K SNPs and a subset of 50K supplement SNPs among an additional 800 aggressive PCa cases and 800 controls from Sweden. A joint association analysis among subjects in stages 1 & 2 will be performed to select SNPs for further confirmation. Aim 2) As the 3rd stage, we will test for PCa associations for the ~6,500 SNPs among an additional 2,000 aggressive PCa cases and 1,000 controls from Johns Hopkins Hospital. A combined analysis will be performed for these SNPs among all available subjects to identify SNPs that reach genome-wide significance level. Aim 3) Perform a fine mapping analysis at genomic regions surrounding the genome-wide significant SNPs to identify variants that are most strongly associated with PCa risk among all 3,300 aggressive PCa cases and 2,300 controls. Aim 4) Assess association of the PCa risk variants with the disease progression among 5,000 cases with extensive follow-up information from a Swedish Nationwide Follow-Up study of Localized PCa (FU-study) and 500 matched-pairs of progressors and non-progressors from Johns Hopkins Hospital. The identification of PCa risk variants may impact the understanding, prevention, diagnosis, and treatment of this disease.
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Genome-wide association study in Chinese men identifies two new prostate cancer risk loci at 9q31.2 and 19q13.4.
中国男性全基因组关联研究确定了 9q31.2 和 19q13.4 两个新的前列腺癌风险位点
DOI:
10.1038/ng.2424
发表时间:
2012-11
期刊:
Nature genetics
影响因子:
30.8
作者:
[Xu J, Mo Z, Ye D, Wang M, Liu F, Jin G, Xu C, Wang X, Shao Q, Chen Z, Tao Z, Qi J, Zhou F, Wang Z, Fu Y, He D, Wei Q, Guo J, Wu D, Gao X, Yuan J, Wang G, Xu Y, Wang G, Yao H, Dong P, Jiao Y, Shen M, Yang J, Ou-Yang J, Jiang H, Zhu Y, Ren S, Zhang Z, Yin C, Gao X, Dai B, Hu Z, Yang Y, Wu Q, Chen H, Peng P, Zheng Y, Zheng X, Xiang Y, Long J, Gong J, Na R, Lin X, Yu H, Wang Z, Tao S, Feng J, Sun J, Liu W, Hsing A, Rao J, Ding Q, Wiklund F, Gronberg H, Shu XO, Zheng W, Shen H, Jin L, Shi R, Lu D, Zhang X, Sun J, Zheng SL, Sun Y]
通讯作者:
Sun Y
Predictive performance of prostate cancer risk in Chinese men using 33 reported prostate cancer risk-associated SNPs.
使用 33 个报告的前列腺癌风险相关 SNP 对中国男性的前列腺癌风险进行预测。
DOI:
10.1002/pros.21462
发表时间:
2012-04
期刊:
PROSTATE
影响因子:
2.8
作者:
[Zheng, Jie, Liu, Fang, Lin, Xiaoling, Wang, Xiang, Ding, Qiang, Jiang, Haowen, Chen, Hongyan, Lu, Daru, Jin, Guangfu, Hsing, Ann W., Shao, Qiang, Qi, Jun, Ye, Yu, Wang, Zhong, Gao, Xin, Wang, Guozeng, Chu, Lisa W., OuYang, Jun, Huang, Yichen, Chen, Yanbo, Gao, Yutang, Shi, Rong, Wu, Qijun, Wang, Meilin, Zhang, Zhengdong, Hu, Yanlin, Sun, Jielin, Zheng, S. Lilly, Gao, Xu, Xu, Chuanliang, Mo, Zengnan, Sun, Yinghao, Xu, Jianfeng]
通讯作者:
Xu, Jianfeng
DOI:
10.1007/s00439-012-1148-4
发表时间:
2012-07
期刊:
Human genetics
影响因子:
5.3
作者:
[Tao S, Feng J, Webster T, Jin G, Hsu FC, Chen SH, Kim ST, Wang Z, Zhang Z, Zheng SL, Isaacs WB, Xu J, Sun J]
通讯作者:
Sun J
DOI:
10.1002/pros.22661
发表时间:
2013-11
期刊:
PROSTATE
影响因子:
2.8
作者:
[Jiang, Haowen, Liu, Fang, Wang, Zhong, Na, Rong, Zhang, Limin, Wu, Yishuo, Zheng, Jie, Lin, Xiaoling, Jiang, Deke, Sun, Jielin, Zheng, S. Lilly, Ding, Qiang, Xu, Jianfeng]
通讯作者:
Xu, Jianfeng
DOI:
10.1158/1055-9965.epi-11-0523
发表时间:
2011-11
期刊:
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子:
--
作者:
[Feng J, Sun J, Kim ST, Lu Y, Wang Z, Zhang Z, Gronberg H, Isaacs WB, Zheng SL, Xu J]
通讯作者:
Xu J
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