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Journal of Cancer Research and Clinical Oncology

, Volume 143, Issue 12, pp 2481–2492 | Cite as

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

  • Makiko Abe
  • Hidemi Ito
  • Isao Oze
  • Masatoshi Nomura
  • Yoshihiro Ogawa
  • Keitaro MatsuoEmail author
Original Article – Cancer Research

Abstract

Background

Little is known about the difference of genetic predisposition for CRC between ethnicities; however, many genetic traits common to colorectal cancer have been identified. This study investigated whether more SNPs identified in GWAS in East Asian population could improve the risk prediction of Japanese and explored possible application of genetic risk groups as an instrument of the risk communication.

Methods

558 Patients histologically verified colorectal cancer and 1116 first-visit outpatients were included for derivation study, and 547 cases and 547 controls were for replication study. Among each population, we evaluated prediction models for the risk of CRC that combined the genetic risk group based on SNPs from GWASs in European-population and a similarly developed model adding SNPs from GWASs in East Asian-population. We examined whether adding East Asian-specific SNPs would improve the discrimination.

Results

Six SNPs (rs6983267, rs4779584, rs4444235, rs9929218, rs10936599, rs16969681) from 23 SNPs by European-based GWAS and five SNPs (rs704017, rs11196172, rs10774214, rs647161, rs2423279) among ten SNPs by Asian-based GWAS were selected in CRC risk prediction model. Compared with a 6-SNP-based model, an 11-SNP model including Asian GWAS-SNPs showed improved discrimination capacity in Receiver operator characteristic analysis. A model with 11 SNPs resulted in statistically significant improvement in both derivation (P = 0.0039) and replication studies (P = 0.0018) compared with six SNP model. We estimated cumulative risk of CRC by using genetic risk group based on 11 SNPs and found that the cumulative risk at age 80 is approximately 13% in the high-risk group while 6% in the low-risk group.

Conclusion

We constructed a more efficient CRC risk prediction model with 11 SNPs including newly identified East Asian-based GWAS SNPs (rs704017, rs11196172, rs10774214, rs647161, rs2423279). Risk grouping based on 11 SNPs depicted lifetime difference of CRC risk. This might be useful for effective individualized prevention for East Asian.

Keywords

Colorectal cancer risk Risk prediction model GWAS Cumulative incidence 

Notes

Acknowledgements

The authors appreciate the efforts of the many contributors to the HERPACC study. This study was supported by Grants-in-Aid for Scientific Research on Priority Areas from the Ministry of Education, Science, Sports, Culture and Technology of Japan; by the National Cancer Center Research and Development Fund (H25-A-14); by a Grant-in-Aid for the Third Term Comprehensive 10-year Strategy for Cancer Control from the Ministry of Health, Labour and Welfare of Japan and the Health and JSPS KAKENHI Grant Number 26253041and 25460786. These grantors were not involved in the study design, subject enrollment, study analysis or interpretation, or submission of the manuscript for this study.

Compliance with ethical standards

Conflict of interest

The authors declare that no competing interests exist.

Supplementary material

432_2017_2505_MOESM1_ESM.xlsx (24 kb)
Supplementary material 1 (XLSX 23 kb)

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Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Preventive MedicineKyushu University Faculty of Medical SciencesFukuokaJapan
  2. 2.Department of Medicine and Bioregulatory Science, Graduate School of Medical ScienceKyushu UniversityFukuokaJapan
  3. 3.Division of Molecular and Clinical EpidemiologyAichi Cancer Center Research InstituteNagoyaJapan
  4. 4.Department of EpidemiologyNagoya University Graduate School of MedicineNagoyaJapan
  5. 5.Department of Molecular and Cellular Metabolism, Graduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityTokyoJapan

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