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Prediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II).

DC Field Value Language
dc.contributor.author김희진-
dc.contributor.author남정모-
dc.contributor.author지선하-
dc.contributor.author김윤남-
dc.date.accessioned2014-12-19T16:51:08Z-
dc.date.available2014-12-19T16:51:08Z-
dc.date.issued2012-
dc.identifier.issn1598-866X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/90315-
dc.description.abstractColorectal cancer (CRC) is among the leading causes of cancer deaths and can be caused by environmental factors as well as genetic factors. Therefore, we developed a prediction model of CRC using genetic risk scores (GRS) and evaluated the effects of conventional risk factors, including family history of CRC, in combination with GRS on the risk of CRC in Koreans. This study included 187 cases (men, 133; women, 54) and 976 controls (men, 554; women, 422). GRS were calculated with most significantly associated single-nucleotide polymorphism with CRC through a genomewide association study. The area under the curve (AUC) increased by 0.5% to 5.2% when either counted or weighted GRS was added to a prediction model consisting of age alone (AUC 0.687 for men, 0.598 for women) or age and family history of CRC (AUC 0.692 for men, 0.603 for women) for both men and women. Furthermore, the risk of CRC significantly increased for individuals with a family history of CRC in the highest quartile of GRS when compared to subjects without a family history of CRC in the lowest quartile of GRS (counted GRS odds ratio [OR], 47.9; 95% confidence interval [CI], 4.9 to 471.8 for men; OR, 22.3; 95% CI, 1.4 to 344.2 for women) (weighted GRS OR, 35.9; 95% CI, 5.9 to 218.2 for men; OR, 18.1, 95% CI, 3.7 to 88.1 for women). Our findings suggest that in Koreans, especially in Korean men, GRS improve the prediction of CRC when considered in conjunction with age and family history of CRC.-
dc.description.statementOfResponsibilityopen-
dc.relation.isPartOfGenomics & Informatics-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titlePrediction of Colorectal Cancer Risk Using a Genetic Risk Score: The Korean Cancer Prevention Study-II (KCPS-II).-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Biostatistics (의학통계학)-
dc.contributor.googleauthorJaeseong Jo-
dc.contributor.googleauthorChung Mo Nam-
dc.contributor.googleauthorJae Woong Sull-
dc.contributor.googleauthorJi Eun Yun-
dc.contributor.googleauthorSang Yeun Kim-
dc.contributor.googleauthorSun Ju Lee-
dc.contributor.googleauthorYoon Nam Kim-
dc.contributor.googleauthorEun Jung Park-
dc.contributor.googleauthorHeejin Kimm-
dc.contributor.googleauthorSun Ha Jee-
dc.identifier.doi23166528-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA01226-
dc.contributor.localIdA01264-
dc.contributor.localIdA03965-
dc.contributor.localIdA04535-
dc.relation.journalcodeJ00940-
dc.identifier.pmid23166528-
dc.subject.keywordarea under curve-
dc.subject.keywordcolorectal neoplasms-
dc.subject.keywordgenetic risk score (GRS)-
dc.subject.keywordprediction-
dc.contributor.alternativeNameKimm, Hee Jin-
dc.contributor.alternativeNameNam, Jung Mo-
dc.contributor.alternativeNameJee, Sun Ha-
dc.contributor.alternativeNameKim, Youn Nam-
dc.contributor.affiliatedAuthorKimm, Hee Jin-
dc.contributor.affiliatedAuthorNam, Jung Mo-
dc.contributor.affiliatedAuthorJee, Sun Ha-
dc.contributor.affiliatedAuthorKim, Youn Nam-
dc.citation.volume10-
dc.citation.number3-
dc.citation.startPage175-
dc.citation.endPage183-
dc.identifier.bibliographicCitationGenomics & Informatics, Vol.10(3) : 175-183, 2012-
dc.identifier.rimsid34137-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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