title: Computer simulation is an undervalued tool for genetic analysis: a historical view and presentation of SHIMSHON--a Web-based genetic simulation package.
abstract: Computer simulation methods are under-used tools in genetic analysis because simulation approaches have been portrayed as inferior to analytic methods. Even when simulation is used, its advantages are not fully exploited. Here, I present SHIMSHON, our package of genetic simulation programs that have been developed, tested, used for research, and used to generated data for Genetic Analysis Workshops (GAW). These simulation programs, now web-accessible, can be used by anyone to answer questions about designing and analyzing genetic disease studies for locus identification. This work has three foci: (1) the historical context of SHIMSHON's development, suggesting why simulation has not been more widely used so far. (2) Advantages of simulation: computer simulation helps us to understand how genetic analysis methods work. It has advantages for understanding disease inheritance and methods for gene searches. Furthermore, simulation methods can be used to answer fundamental questions that either cannot be answered by analytical approaches or cannot even be defined until the problems are identified and studied, using simulation. (3) I argue that, because simulation was not accepted, there was a failure to grasp the meaning of some simulation-based studies of linkage. This may have contributed to perceived weaknesses in linkage analysis; weaknesses that did not, in fact, exist.
authors.affiliation: Division of Statistical Genetics, Department of Biostatistics, Mailman School of Public Health, Columbia University Medical Center and the New York State Psychiatric Institute, 722 W. 168th Street, New York, NY 10032, USA. dag@shallot.cpmc.columbia.edu
authors.forename: David A
authors.initials: DA
authors.lastname: Greenberg
mesh_terms: D003198:Computer Simulation; D008040:Genetic Linkage; D006801:Humans; D040582:Inheritance Patterns; D020407:Internet; D008126:Lod Score; D008957:Models, Genetic