Forward-time simulation of realistic samples for genome-wide association studies |
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Authors: | Bo Peng Christopher I Amos |
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Affiliation: | (1) Department of Epidemiology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030, USA |
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Abstract: | Background Forward-time simulations have unique advantages in power and flexibility for the simulation of genetic samples of complex human diseases because they can closely mimic the evolution of human populations carrying these diseases. However, a number of methodological and computational constraints have prevented the power of this simulation method from being fully explored in existing forward-time simulation methods. |
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