Department of Biostatistics and Center for Statistical Genetics and Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Bioinformatics. 2012 May 1;28(9):1282-3. doi: 10.1093/bioinformatics/bts135. Epub 2012 Mar 21.
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.
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
最近的遗传学研究以及有记载的历史表明,人类人口在近代经历了大规模的增长。为了准确地对这种增长进行建模和理解,我们引入了 FTEC,这是一个易于使用的合并模拟程序,能够模拟经历了超指数增长的群体中的单倍型样本。与从随着时间的推移保持恒定大小的群体中抽取的样本相比,从经历了超指数增长的群体中抽取的样本显示出非常罕见的变异过多和更快的 LD 衰减。
FTEC 的源代码可从密歇根大学统计遗传学中心维基上免费下载,网址为 http://genome.sph.umich.edu/wiki/FTEC