REGENT

REGENT: Integrated Genetic and Environmental Risk Estimation

REGENT integrates genetic variants and environmental factors to estimate disease risk at population and individual levels using statistical risk modeling.


Key Features:

  • Integration of Genetic and Environmental Factors: Simultaneously models genetic variants and environmental influences across multiple levels to assess combined disease risk.
  • Population-Level Analysis: Performs population-level risk analysis with optional individual-level data evaluation.
  • Variability and Confidence Intervals: Incorporates variability in risk factors to compute confidence intervals for risk estimates.
  • Risk Classification: Classifies individuals or groups into risk categories based on deviation from a baseline population average.

Scientific Applications:

  • Genetic Risk Assessment: Analyzes interactions between genetic variants and environmental factors to evaluate disease susceptibility in research and clinical studies.

Methodology:

Applies statistical techniques to integrate multiple sources of genetic and environmental risk data, enabling quantitative assessment of combined risk factors and estimation of disease susceptibility with associated uncertainty measures.

Topics

Details

Tool Type:
library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Crouch DJ, Goddard GH, Lewis CM. REGENT: a risk assessment and classification algorithm for genetic and environmental factors. European Journal of Human Genetics. 2012;21(1):109-111. doi:10.1038/ejhg.2012.107. PMID:22669417. PMCID:PMC3522205.

Documentation

Links