REGENT: a risk assessment and classification algorithm for genetic and environmental factors

被引：14

作者：

Crouch, Daniel J. M. ^{[1
]}

Goddard, Graham H. M. ^{[1
]}

Lewis, Cathryn M. ^{[1
,2
]}

机构：

[1] Kings Coll London, Dept Med & Mol Genet, London SE1 9RT, England

[2] Kings Coll London, Inst Psychiat, MRC SGDP Ctr, London SE1 9RT, England

来源：

EUROPEAN JOURNAL OF HUMAN GENETICS | 2013年 / 21卷 / 01期

基金：

英国医学研究理事会;

关键词：

genetic association; risk estimation; SNPs; environment; variability; COMPLEX DISEASES;

D O I：

10.1038/ejhg.2012.107

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The identification of environmental and genetic factors that contribute to disease risk requires appropriate statistical methods and software that can integrate different sources of risk, provide statistical assessment of combined risk factors, and facilitate interpretation of this risk. We have developed an R package, REGENT, to calculate risks conferred by genetic factors and multilevel environmental factors. This is performed at a population level, with the option to also analyse individual-level data. REGENT incorporates variability in risk factors to calculate confidence intervals for risk estimates and to classify the population into different categories of risk based on significant differences from the baseline average member of the population. REGENT is an R package available from CRAN: http://cran.r-project.org/web/packages/REGENT. It will be of value to genetic researchers exploring the utility of the variants detected for their disorder, and to clinical researchers interested in genetic risk studies. European Journal of Human Genetics (2013) 21, 109-111; doi: 10.1038/ejhg.2012.107; published online 6 June 2012

引用

页码：109 / 111

页数：3

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