REGENT: a risk assessment and classification algorithm for genetic and environmental factors.
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.
Department of Medical and Molecular Genetics, King's College London, London, UK.
Daniel J M
DJ
Crouch
Graham H M
GH
Goddard
Cathryn M
CM
Lewis
D000465:Algorithms; D000071183:Autophagy-Related Proteins; D002352:Carrier Proteins / Q000235:genetics; D016001:Confidence Intervals; D003424:Crohn Disease / Q000235:genetics*; D004777:Environment; D059647:Gene-Environment Interaction; D006801:Humans; D053473:Nod2 Signaling Adaptor Protein / Q000235:genetics; D020641:Polymorphism, Single Nucleotide; D018123:Receptors, Interleukin / Q000235:genetics; D018570:Risk Assessment; D012984:Software
C518959:ATG16L1 protein, human; D000071183:Autophagy-Related Proteins; D002352:Carrier Proteins; C515500:IL23R protein, human; C429018:NOD2 protein, human; D053473:Nod2 Signaling Adaptor Protein; D018123:Receptors, Interleukin