Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Proffered Abstracts - Poster Presentations

Abstract 60: Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study.

Hyuna Sung, Ji-Yeob Choi, Sue K. Park, Wonshik Han, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh and Daehee Kang
Hyuna Sung
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ji-Yeob Choi
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sue K. Park
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wonshik Han
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Keun-Young Yoo
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sei-Hyun Ahn
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dong-Young Noh
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daehee Kang
1Seoul National University, Seoul, Korea (Rep.), 2University of Ulsan College of Medicine and Asan Medical Center, Seoul, Korea (Rep.).
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.GWAS-60 Published November 2012
  • Article
  • Info & Metrics
Loading

Abstract

Background: Although several low-penetrance loci associated with breast cancer risk were identified and confirmed, knowledge of the effect of multiple risk alleles is limited especially in Asian women. Therefore we evaluated the association between the polygenic risk scores and breast cancer risk in Korean women using the most recent list of breast cancer susceptibility loci.

Methods: We analyzed 51 single-nucleotide polymorphisms (SNPs) located in 34 loci in 1,774 cases and age-frequency matched 1,774 control subjects participating in Seoul Breast Case-Control Study. The fourteen independent SNPs associated with breast cancer risk were selected based on the results of single SNP analysis. The genetic risk score (GRS) were calculated using simple count method and weighted method. Tests of association were conducted using the logistic regression for quintiles of each GRS with or without adjustment. The c-statistic was estimated to evaluate the contribution of GRS to risk prediction model including non-genetic factors (age, family history of breast cancer, education, BMI, menopausal status, age at menarche, age at first full-term pregnancy, and number of children).

Results: Fourteen SNPs (rs13393577, rs4973768, rs7716600, rs1092913, rs889312, rs9485372, rs2046210, rs1562430, rs704010, rs10736303, rs7107217, rs10771399, rs3803662, and rs4784227), each of which reflected a genetically independent locus, were found to be associated with breast cancer risk. A highly significant trend was observed between the GRS and the risk of breast cancer. The adjusted odds ratios for women in the highest quintile of count GRS or weighted GRS vs. those in the lowest were 2.64 (95% confidence interval (95% CI), 2.09- 3.35; Ptrend=9.3E-19) and 2.76 (95% CI, 2.18- 3.50; Ptrend=5.9E-21), respectively. The c-statistic for model including the GRS in additional to the conventional risk factors was 0.6389 (95% CI, 0.620-0.658) vs. 0.6041 (95% CI, 0.585-0.623) with the conventional risk factors only.

Conclusions: Supporting the polygenic inheritance model of breast cancer, our study showed that GRS based on low-penetrance SNPs adds very modest improvement to risk prediction models.

Citation Format: Hyuna Sung, Ji-Yeob Choi, Sue K. Park, Wonshik Han, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh, Daehee Kang. Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study. [abstract]. In: Proceedings of the AACR Special Conference on Post-GWAS Horizons in Molecular Epidemiology: Digging Deeper into the Environment; 2012 Nov 11-14; Hollywood, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2012;21(11 Suppl):Abstract nr 60.

  • ©2012 American Association for Cancer Research.
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 21 (11 Supplement)
November 2012
Volume 21, Issue 11 Supplement
  • Table of Contents

Sign up for alerts

Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Abstract 60: Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study.
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Abstract 60: Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study.
Hyuna Sung, Ji-Yeob Choi, Sue K. Park, Wonshik Han, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh and Daehee Kang
Cancer Epidemiol Biomarkers Prev November 1 2012 (21) (11 Supplement) 60; DOI: 10.1158/1055-9965.GWAS-60

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Abstract 60: Combined effects of low-penetrance variants on breast cancer risk: Results from the Seoul Breast Cancer Study.
Hyuna Sung, Ji-Yeob Choi, Sue K. Park, Wonshik Han, Keun-Young Yoo, Sei-Hyun Ahn, Dong-Young Noh and Daehee Kang
Cancer Epidemiol Biomarkers Prev November 1 2012 (21) (11 Supplement) 60; DOI: 10.1158/1055-9965.GWAS-60
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
  • Info & Metrics
Advertisement

Related Articles

Cited By...

More in this TOC Section

Proffered Abstracts - Poster Presentations

  • Abstract 79: The relationship between abdominal fat distribution, vitamin D levels, and physical activity in colorectal cancer patients: A pilot study.
  • Abstract 81: Dietary supplement use among German colorectal cancer patients: The ColoCare Study.
  • Abstract 82: Gene expression induced by acrylamide and glycidamide in mammalian cells.
Show more Proffered Abstracts - Poster Presentations

Post-GWAS Studies

  • Abstract 68: Beyond GWAS: The prognostic significance of promoter DNA methylation in patients with neuroblastoma.
  • Abstract PR3: Framework for post-GWAS functional annotation of regulatory regions associated with susceptibility loci for colorectal cancer.
  • Abstract 66: Genetic predictors of DNA repair capacity in melanoma patients: A genome-wide approach.
Show more Post-GWAS Studies
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement