Literature DB >> 26637073

A risk prediction model for colorectal cancer using genome-wide association study-identified polymorphisms and established risk factors among Japanese: results from two independent case-control studies.

Satoyo Hosono1, Hidemi Ito, Isao Oze, Miki Watanabe, Koji Komori, Yasushi Yatabe, Yasuhiro Shimizu, Hideo Tanaka, Keitaro Matsuo.   

Abstract

Most genome-wide association studies of colorectal cancer (CRC) carried out to date have been in populations with European ancestry, and the extent to which the identified variants contribute as predictors of CRC among Japanese populations has not been clarified. We analyzed 23 genetic variants identified in previous genome-wide association studies in a derivation case-control study with 558 cases and 1116 age-matched and sex-matched controls. Six single nucleotide polymorphisms were selected for synthesis of the genetic risk score. A dose-dependent association was observed between CRC risk and genetic risk score, which is the aggregate number of alleles in six selected variants: 8q24 - rs6983267, 15q13 - rs4779584 and rs1696961, 14q22 - rs444435, 16q22 - rs9929218, and 3q26.2 - rs1093599. The c statistic for a model that included the genetic risk score and conventional risk factors was 0.7167, versus 0.7009 with the conventional risk factors only (P=0.0013). This model was evaluated in a replication study with 547 cases and 547 age-matched and sex-matched controls, and the corresponding c statistics were 0.6356 and 0.6391 with no statistical significance. When the two studies were combined, the corresponding c statistics were 0.6132 and 0.6198 (P=0.0126). We developed a risk model that incorporates a genetic risk score and established risk factors, but this model was not satisfactory in the replication study. The results in the combined study still encourage further attempts using a similar approach among individual countries.

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Year:  2016        PMID: 26637073     DOI: 10.1097/CEJ.0000000000000213

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  9 in total

1.  External Validation of Risk Prediction Models Incorporating Common Genetic Variants for Incident Colorectal Cancer Using UK Biobank.

Authors:  Catherine L Saunders; Britt Kilian; Deborah J Thompson; Luke J McGeoch; Simon J Griffin; Antonis C Antoniou; Jon D Emery; Fiona M Walter; Joe Dennis; Xin Yang; Juliet A Usher-Smith
Journal:  Cancer Prev Res (Phila)       Date:  2020-02-18

2.  The more from East-Asian, the better: risk prediction of colorectal cancer risk by GWAS-identified SNPs among Japanese.

Authors:  Makiko Abe; Hidemi Ito; Isao Oze; Masatoshi Nomura; Yoshihiro Ogawa; Keitaro Matsuo
Journal:  J Cancer Res Clin Oncol       Date:  2017-08-28       Impact factor: 4.553

3.  Association between ALDH2 and ADH1B polymorphisms, alcohol drinking and gastric cancer: a replication and mediation analysis.

Authors:  Kuka Ishioka; Hiroyuki Masaoka; Hidemi Ito; Isao Oze; Seiji Ito; Masahiro Tajika; Yasuhiro Shimizu; Yasumasa Niwa; Shigeo Nakamura; Keitaro Matsuo
Journal:  Gastric Cancer       Date:  2018-04-03       Impact factor: 7.370

4.  Evaluating the predictive value of genetic risk score in colorectal cancer among Chinese Han population.

Authors:  Ding Ye; Danjie Jiang; Simeng Gu; Yingying Mao; Sangni Qian; Shujuan Lin; Qilong Li; Jinhua Yang; Kunhong Zhong; Mingjuan Jin; Kun Chen
Journal:  J Hum Genet       Date:  2019-12-19       Impact factor: 3.172

Review 5.  Cumulative evidence for relationships between multiple variants in 8q24 and colorectal cancer incidence.

Authors:  Yu Tong; Huiqing Wang; Shiping Li; Fengyan Zhao; Junjie Ying; Yi Qu; Dezhi Mu
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

6.  Polygenic risk prediction models for colorectal cancer: a systematic review.

Authors:  Michele Sassano; Marco Mariani; Gianluigi Quaranta; Roberta Pastorino; Stefania Boccia
Journal:  BMC Cancer       Date:  2022-01-15       Impact factor: 4.430

Review 7.  PRNCR1: a long non-coding RNA with a pivotal oncogenic role in cancer.

Authors:  Abhishek Bardhan; Anwesha Banerjee; Keya Basu; Dilip Kumar Pal; Amlan Ghosh
Journal:  Hum Genet       Date:  2021-11-02       Impact factor: 4.132

8.  Variation of Positive Predictive Values of Fecal Immunochemical Tests by Polygenic Risk Score in a Large Screening Cohort.

Authors:  Tobias Niedermaier; Yesilda Balavarca; Anton Gies; Korbinian Weigl; Feng Guo; Elizabeth Alwers; Michael Hoffmeister; Hermann Brenner
Journal:  Clin Transl Gastroenterol       Date:  2022-01-19       Impact factor: 4.396

9.  New insights into the genetic contribution of ALDH2 rs671 in pancreatic carcinogenesis: Evaluation by mediation analysis.

Authors:  Yuriko N Koyanagi; Isao Oze; Yumiko Kasugai; Yukino Kawakatsu; Yukari Taniyama; Kazuo Hara; Yasuhiro Shimizu; Issei Imoto; Hidemi Ito; Keitaro Matsuo
Journal:  Cancer Sci       Date:  2022-02-16       Impact factor: 6.716

  9 in total

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