Email updates

Keep up to date with the latest news and content from BMC Genetics and BioMed Central.

Open Access Software

Bridge: a GUI package for genetic risk prediction

Chengyin Ye12 and Qing Lu2*

Author Affiliations

1 Department of Health Management, School of Medicine, Hangzhou Normal University, Hangzhou, China

2 Department of Epidemiology and Biostatistics, Michigan State University, B601 West Fee Hall, 909 Fee Road, 48824 East Lansing, MI, USA

For all author emails, please log on.

BMC Genetics 2013, 14:122  doi:10.1186/1471-2156-14-122

Published: 20 December 2013

Abstract

Background

Risk prediction models capitalizing on genetic and environmental information hold great promise for individualized disease prediction and prevention. Nevertheless, linking the genetic and environmental risk predictors into a useful risk prediction model remains a great challenge. To facilitate risk prediction analyses, we have developed a graphical user interface package, Bridge.

Results

The package is built for both designing and analyzing a risk prediction model. In the design stage, it provides an estimated classification accuracy of the model using essential genetic and environmental information gained from public resources and/or previous studies, and determines the sample size required to verify this accuracy. In the analysis stage, it adopts a robust and powerful algorithm to form the risk prediction model.

Conclusions

The package is developed based on the optimality theory of the likelihood ratio and therefore theoretically could form a model with high performance. It can be used to handle a relatively large number of genetic and environmental predictors, with consideration of their possible interactions, and so is particularly useful for studying risk prediction models for common complex diseases.

Keywords:
Gene-gene interactions; Optimal receiver operating characteristic curve