title: FTEC: a coalescent simulator for modeling faster than exponential growth.
abstract: CONCLUSIONS
  Recent genetic studies as well as recorded history point to massive growth in human population sizes during the recent past. To model and understand this growth accurately we introduce FTEC, an easy-to-use coalescent simulation program capable of simulating haplotype samples drawn from a population that has undergone faster than exponential growth. Samples drawn from a population that has undergone faster than exponential growth show an excess of very rare variation and more rapid LD decay when compared with samples drawn from a population that has maintained a constant size over time.
  
  
  BACKGROUND
  Source code for FTEC is freely available for download from the University of Michigan Center for Statistical Genetics Wiki at http://genome.sph.umich.edu/wiki/FTEC
authors.affiliation: Department of Biostatistics and Center for Statistical Genetics and Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA. mreppell@umich.edu
authors.forename: Mark
authors.initials: M
authors.lastname: Reppell
authors.forename: Michael
authors.initials: M
authors.lastname: Boehnke
authors.forename: Sebastian
authors.initials: S
authors.lastname: Zöllner
mesh_terms: D003198:Computer Simulation; D005828:Genetics, Population; D006801:Humans; D008957:Models, Genetic; D011156:Population Density; D011381:Programming Languages; D012984:Software