Year: 2012
Type: article
Abstract: SUMMARY: 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. AVAILABILITY: 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
Source: Bioinformatics
Institution: University of Michigan
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
Awards: Design and Analysis of Human Gene Mapping Studies, G3159454253, Population genetics for large-scale sequencing studies of diverse populations, Design and Analysis of Human Gene Mapping Studies, G6347470798, G7465365067, G9000090537, G9000189254, University of Michigan Training Program in Genomic Science, Michigan Diabetes Research Center (MDRC)
OpenAlex ID: W2129161024