Combined associations of genetic and environmental risk factors: Implications for prevention of breast cancer

101Citations
Citations of this article
123Readers
Mendeley users who have this article in their library.

Abstract

Genome-wide association studies (GWAS) have identified hundreds of genetic susceptibility loci for cancers and other complex diseases. However, the public health and clinical relevance of these discoveries is unclear. Evaluating the combined associations of genetic and environmental risk factors, particularly those that can be modified, will be critical in assessing the utility of genetic information for risk stratified prevention. In this commentary, using breast cancer as a model, we show that genetic information in combination with other risk factors can provide levels of risk stratification that could be useful for individual decision-making or population-based prevention programs. Our projections are theoretical and rely on a number of assumptions, including multiplicative models for the combined associations of the different risk factors, which need confirmation. Thus, analyses of epidemiological studies with high-quality risk factor information, as well as prevention trials, are needed to empirically assess the impact of genetics in risk stratified prevention.

References Powered by Scopus

Sick individuals and sick populations

2462Citations
1098Readers
Get full text
Get full text

This article is free to access.

Cited by Powered by Scopus

This article is free to access.

Get full text

This article is free to access.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Garcia-Closas, M., Gunsoy, N. B., & Chatterjee, N. (2014, November 1). Combined associations of genetic and environmental risk factors: Implications for prevention of breast cancer. Journal of the National Cancer Institute. Oxford University Press. https://doi.org/10.1093/jnci/dju305

Readers over time

‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2508162432

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 40

61%

Researcher 16

24%

Professor / Associate Prof. 7

11%

Lecturer / Post doc 3

5%

Readers' Discipline

Tooltip

Medicine and Dentistry 30

46%

Biochemistry, Genetics and Molecular Bi... 21

32%

Agricultural and Biological Sciences 9

14%

Social Sciences 5

8%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 13

Save time finding and organizing research with Mendeley

Sign up for free
0