A review of cancer risk prediction models with genetic variants.
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ABSTRACT:
SUBMITTER: Wang X
PROVIDER: S-EPMC4179686 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Publications
A review of cancer risk prediction models with genetic variants.
Wang Xuexia X Oldani Michael J MJ Zhao Xingwang X Huang Xiaohui X Qian Dajun D
Cancer informatics 20140921 Suppl 2
Cancer risk prediction models are important in identifying individuals at high risk of developing cancer, which could result in targeted screening and interventions to maximize the treatment benefit and minimize the burden of cancer. The cancer-associated genetic variants identified in genome-wide or candidate gene association studies have been shown to collectively enhance cancer risk prediction, improve our understanding of carcinogenesis, and possibly result in the development of targeted tre ...[more]
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