4.5 Article

The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors

期刊

EUROPEAN JOURNAL OF HUMAN GENETICS
卷 17, 期 10, 页码 1274-1286

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/ejhg.2009.38

关键词

gene-environment interactions; gene-gene interactions; K-way interaction information

资金

  1. NCRR NIH HHS [P41 RR003655-14, P41 RR003655-16, P41 RR003655-20, P41 RR003655-17A1, P41 RR003655-25, P41 RR003655-21, P41 RR003655-23, P41 RR003655-15, P41 RR003655-19, P41 RR003655, P41 RR003655-24S1, P41 RR003655-22S1, P41 RR003655-18, P41 RR003655-24] Funding Source: Medline

向作者/读者索取更多资源

We developed an information-theoretic metric called the Interaction Index for prioritizing genetic variations and environmental variables for follow-up in detailed sequencing studies. The Interaction Index was found to be effective for prioritizing the genetic and environmental variables involved in GEI for a diverse range of simulated data sets. The metric was also evaluated for a 103-SNP Crohn's disease dataset and a simulated data set containing 9187 SNPs and multiple covariates that was modeled on a rheumatoid arthritis data set. Our results demonstrate that the Interaction Index algorithm is effective and efficient for prioritizing interacting variables for a diverse range of epidemiologic data sets containing complex combinations of direct effects, multiple GGI and GEI. European Journal of Human Genetics (2009) 17, 1274-1286; doi: 10.1038/ejhg.2009.38; published online 18 March 2009

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据