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REGENT: a risk assessment and classification algorithm for genetic and environmental factors
Daniel J M Crouch1, Graham H M Goddard, Cathryn M Lewis
1Department of Medical and Molecular Genetics, King's College London, London, UK.
European Journal of Human Genetics : EJHG
|June 7, 2012
Summary
Researchers can now assess disease risk from genetic and environmental factors using the new REGENT R package. This tool integrates multiple risk sources for population and individual analysis, aiding genetic and clinical research.
Area of Science:
- Biostatistics
- Genetic Epidemiology
- Environmental Health
Background:
- Identifying disease risk necessitates methods integrating genetic and environmental factors.
- Current statistical approaches may not adequately assess combined risk or facilitate interpretation.
- Software is needed to analyze multilevel risk factors at population and individual levels.
Purpose of the Study:
- To introduce REGENT, an R package for calculating disease risks from combined genetic and environmental factors.
- To provide statistical assessment of combined risk factors and facilitate risk interpretation.
- To enable population-level and individual-level risk analysis.
Main Methods:
- Developed the REGENT R package for statistical analysis of risk factors.
- Incorporated genetic factors and multilevel environmental factors.
- Calculated confidence intervals for risk estimates by accounting for variability.
- Classified populations into risk categories based on deviations from the baseline.
Main Results:
- REGENT provides a method to calculate risks conferred by genetic and environmental factors.
- The package integrates variability in risk factors for robust risk estimation.
- Population risk stratification is achievable based on significant differences from the average member.
- The software is available as an R package from CRAN.
Conclusions:
- REGENT offers a valuable tool for genetic researchers assessing variant utility for disorders.
- Clinical researchers conducting genetic risk studies will find REGENT beneficial.
- The package facilitates a comprehensive understanding of disease risk by integrating diverse factors.
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