ArticleEuropean journal of human genetics : EJHG2013
REGENT: a risk assessment and classification algorithm for genetic and environmental factors.
Article in European journal of human genetics : EJHG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Do Genetic Susceptibility Variants Associate with Disease Severity in Early Active Rheumatoid Arthritis?The Journal of rheumatology · 2015Trial
- Clinical prediction models of rheumatoid arthritis and its complications: focus on cardiovascular disease and interstitial lung disease.Arthritis research & therapy · 2023Review
- Population-Wide Genetic Risk Prediction of Complex Diseases: A Pilot Feasibility Study in Macau Population for Precision Public Healthcare Planning.Scientific reports · 2018Article
- Genetic risk models: Influence of model size on risk estimates and precision.Genetic epidemiology · 2017Article
- Genetic-based prediction of disease traits: prediction is very difficult, especially about the future.Frontiers in genetics · 2014Review
- The refinement of genetic predictors of multiple sclerosis.PloS one · 2014Article
- Predicting the risk of rheumatoid arthritis and its age of onset through modelling genetic risk variants with smoking.PLoS genetics · 2013Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.