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FTEC: a coalescent simulator for modeling faster than exponential growth
Mark Reppell1, Michael Boehnke, Sebastian Zöllner
1Department of Biostatistics and Center for Statistical Genetics and Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA. mreppell@umich.edu
Bioinformatics (Oxford, England)
|March 24, 2012
Summary
Human population growth is accelerating faster than exponential. A new tool, FTEC (Faster Than Exponential Coalescent), simulates genetic data from such populations, revealing excess rare variation and faster linkage disequilibrium decay.
Area of Science:
- Population genetics
- Human evolution
- Computational biology
Background:
- Recent genetic studies and historical records indicate significant human population expansion.
- Understanding population dynamics is crucial for interpreting genetic variation.
Purpose of the Study:
- To introduce FTEC, a user-friendly coalescent simulation program.
- To model genetic samples from populations experiencing faster-than-exponential growth.
- To analyze the genetic signatures of rapid population expansion.
Main Methods:
- Development of the FTEC coalescent simulation program.
- Simulation of haplotype samples from populations with varying growth rates.
- Comparative analysis of genetic variation patterns.
Main Results:
- Simulations show that populations with faster-than-exponential growth exhibit an excess of rare genetic variants.
- These populations also demonstrate a more rapid decay of linkage disequilibrium (LD) compared to constant-sized populations.
- FTEC provides a tool to study these specific genetic patterns.
Conclusions:
- The genetic patterns observed in FTEC simulations align with expectations for rapidly growing human populations.
- FTEC is a valuable tool for researchers studying population history and genetic diversity.
- The findings highlight distinct genetic markers associated with rapid population growth.
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