Simulation of stochastic micropopulation models-IV. Snappers: Model implementation for genetic traits

Michael S.C. Goay, Badri Prasad, David Gilbertson, Michael Altmann, Matt Mc Gue, Lael C Gatewood, Stephen S. Rich

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The current paper concerning stochastic micropopulation simulations describes SNAPPERS, which serves as a framework for simulation models of the genetic transmission of disease. The versions described are implemented using the simulation shell, SUMMERS, which includes the generic commonalities of several micropopulation models. Population members in SNAPPERS move through states related to the individual's status relative to the genotype (phenotype). Features of the model include one or two major loci, polygenic and common familial contribution to the phenotype, assortative mating, and flexibility in defining gene action. The user can select from multiple ascertainment strategies for analysis of simulated families.

Original languageEnglish (US)
Pages (from-to)519-531
Number of pages13
JournalComputers in Biology and Medicine
Volume25
Issue number6
DOIs
StatePublished - Nov 1995

Keywords

  • Genetic models
  • Micropopulation model
  • Monte Carlo techniques
  • Stochastic simulation Genetic disease

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