Effect of non-random sampling on the estimation of parameters in population genetics

Genetical Research
F Tajima

Abstract

The amount and pattern of genetic variation in a population can be estimated from genes or DNA sequences sampled from the population. Although random sampling is assumed in almost all cases, we often do not know whether sampling is random or not. Using a simple non-random sampling model, the effects of non-random sampling on the estimation of parameters in population genetics were investigated. This non-random sampling model assumes that n genes are randomly sampled with replacement from m genes which were randomly sampled from a large random mating population, and various degrees of non-randomness can be generated by changing the value of m. The results obtained show that the effect of non-random sampling on the number of alleles and the number of segregating sites is substantially large whereas the effect of non-random sampling on heterozygosity and the average number of nucleotide differences is negligibly small unless non-randomness is extremely large. The effects of non-random sampling on the tests of neutrality were also investigated, and the results obtained indicate that the effect of non-random sampling is stronger on Fu and Li's tests than on Tajima's test.

References

Apr 1, 1975·Theoretical Population Biology·G A Watterson
Mar 1, 1972·Theoretical Population Biology·W J Ewens
Feb 1, 1974·Genetics·M Nei, A K Roychoudhury
Feb 17, 1968·Nature·M Kimura
Feb 1, 1993·Journal of Molecular Evolution·N Goldman
Dec 1, 1993·Idengaku zasshi·F Tajima
Mar 1, 1993·Genetics·Y X Fu, W H Li
Mar 1, 1993·European Neuropsychopharmacology : the Journal of the European College of Neuropsychopharmacology·G J Amabeoku, O Chikuni
Oct 1, 1983·Proceedings of the National Academy of Sciences of the United States of America·M Kimura

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Citations

Apr 24, 2012·Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases·Christophe PaupyDidier Fontenille
Jan 11, 2008·Molecular Plant-microbe Interactions : MPMI·Wei QianChaozu He
Aug 22, 2003·Genetics·Tomoyuki KadoHidenori Tachida

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