Genetic prostate cancer risk assessment: common variants in 9 genomic regions are associated with cumulative risk.
Genetic prostate cancer risk assessment: common variants in 9 genomic regions are associated with cumulative risk.
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DOI:
10.1016/j.juro.2010.04.032
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发表时间:
2010-08
期刊:
影响因子:
--
通讯作者:
Catalona WJ
中科院分区:
文献类型:
--
作者:
Helfand BT;Fought AJ;Loeb S;Meeks JJ;Kan D;Catalona WJ
Five genetic variants along chromosomes 8q24 and 17q were previously shown to have a cumulative association with prostate cancer (CaP) risk. Our research group has previously demonstrated an association between these variants and clincopathologic characteristics. More recently, 4 additional CaP susceptibility variants were identified on chromosomes 2p15, 10q11, 11q13 and Xp11. Our objectives were to examine a cumulative risk assessment incorporating all 9 genetic variants, and to determine the relationship of the new variants with clincopathologic tumor features. The genotype for all 9 variants was determined in 687 men of European ancestry who underwent radical prostatectomy (2002-2008) and 777 healthy volunteer controls. We compared the frequencies of these variants between CaP cases and controls and examined a cumulative model. In addition, we determined the relationship between carrier status for the 4 new variants and clinical and pathology tumor features. CaP cases had an increased frequency of all 9 risk variants compared to controls. A cumulative model that included the 9 SNPs provided greater CaP risk stratification than a model restricted to the original 5 SNPs described. Specifically, men with ≥6 variants had a >6-fold increased risk of CaP. Although 2p15 and 11q13 carriers were more likely to have aggressive features, other clinical-pathology features were similar between carriers and non-carriers. Genetic variants located in 9 regions have a cumulative association with CaP risk. The identification of an increasing number of SNPs may provide a greater understanding of their combined relationship with CaP risk and disease aggressiveness.
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影响因子:
11.2
作者:
Hsu FC;Sun J;Wiklund F;Isaacs SD;Wiley KE;Purcell LD;Gao Z;Stattin P;Zhu Y;Kim ST;Zhang Z;Liu W;Chang BL;Walsh PC;Duggan D;Carpten JD;Isaacs WB;Grönberg H;Xu J;Zheng SL
通讯作者:
Zheng SL
影响因子:
3.5
作者:
Chang, Bao-Li;Cramer, Scott D.;Xu, Jianfeng
通讯作者:
Xu, Jianfeng
影响因子:
2.8
作者:
Sun, Jielin;Chang, Bao-Li;Isaacs, Sarah D.;Wiley, Kathleen E.;Wiklund, Fredrik;Stattin, Par;Duggan, David;Carpten, John D.;Trock, Bruce J.;Partin, Alan W.;Walsh, Patrick C.;Gronberg, Henrik;Xu, Jianfeng;Isaacs, William B.;Zheng, S. Lilly
通讯作者:
Zheng, S. Lilly
影响因子:
30.8
作者:
Haiman, Christopher A.;Patterson, Nick;Reich, David
通讯作者:
Reich, David
DOI:
10.1073/pnas.0914061107
发表时间:
2010-02-02
影响因子:
11.1
作者:
Xu, Jianfeng;Zheng, Siqun Lilly;Isaacs, William B.
通讯作者:
Isaacs, William B.