Using graded response model for the prediction of prostate cancer risk.
Using graded response model for the prediction of prostate cancer risk.
复制标题
使用分级反应模型预测前列腺癌风险。
DOI：
10.1007/s00439-012-1160-8
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发表时间：
2012
期刊：
影响因子：
5.3
通讯作者：
Hsu,Fang-Chi
中科院分区：
文献类型：
--
作者：
Chen,Shyh-Huei;Ip,EdwardH;Xu,Jianfeng;Sun,Jielin;Hsu,Fang-Chi
Disease risk-associated single nucleotide polymorphisms (SNPs) identified from genome-wide association studies (GWAS) have the potential to be used for disease risk prediction. An important feature of these risk-associated SNPs is their weak individual effect but stronger cumulative effect on disease risk. To date, a stable summary estimate of the joint effect of genetic variants on disease risk prediction is not available. In this study, we propose to use the graded response model (GRM), which is based on the item response theory, for estimating the individual risk that is associated with a set of SNPs. We compare the GRM with a recently proposed risk prediction model called cumulative relative risk (CRR). Thirty-three prostate cancer risk-associated SNPs were originally discovered in GWAS by December 2009. These SNPs were used to evaluate the performance of GRM and CRR for predicting prostate cancer risk in three GWAS populations, including populations from Sweden, Johns Hopkins Hospital, and the National Cancer Institute Cancer Genetic Markers of Susceptibility study. Computational results show that the risk prediction estimates of GRM, compared to CRR, are less biased and more stable.
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DOI：
10.1016/j.ijrobp.2013.10.042
发表时间：
2014-02-01
期刊：
International journal of radiation oncology, biology, physics
影响因子：
--
作者：
Ghadjar P;Zelefsky MJ;Spratt DE;Munck af Rosenschöld P;Oh JH;Hunt M;Kollmeier M;Happersett L;Yorke E;Deasy JO;Jackson A
通讯作者：
Jackson A
DOI：
10.1016/j.ijrobp.2009.03.078
发表时间：
2010-03-01
影响因子：
7
作者：
Michalski, Jeff M.;Gay, Hiram;Jackson, Andrew;Tucker, Susan L.;Deasy, Joseph O.
通讯作者：
Deasy, Joseph O.
DOI：
10.1016/j.ijrobp.2014.09.046
发表时间：
2015-02-01
影响因子：
7
作者：
Troeller, Almut;Yan, Di;Soehn, Matthias
通讯作者：
Soehn, Matthias
DOI：
10.1016/s1470-2045(16)30102-4
发表时间：
2016-08
期刊：
The Lancet. Oncology
影响因子：
--
作者：
Dearnaley D;Syndikus I;Mossop H;Khoo V;Birtle A;Bloomfield D;Graham J;Kirkbride P;Logue J;Malik Z;Money-Kyrle J;O'Sullivan JM;Panades M;Parker C;Patterson H;Scrase C;Staffurth J;Stockdale A;Tremlett J;Bidmead M;Mayles H;Naismith O;South C;Gao A;Cruickshank C;Hassan S;Pugh J;Griffin C;Hall E;CHHiP Investigators
通讯作者：
CHHiP Investigators
DOI：
10.1016/j.ijrobp.2009.02.090
发表时间：
2010-03-01
影响因子：
7
作者：
Viswanathan, Akila N.;Yorke, Ellen D.;Marks, Lawrence B.;Eifel, Patricia J.;Shipley, William U.
通讯作者：
Shipley, William U.