Interval Estimation of the Effective Population Size from Heterozygote-Excess in SNP Markers

2009 ◽  
Vol 51 (6) ◽  
pp. 996-1016 ◽  
Author(s):  
Tetsuro Nomura
Genetics ◽  
1996 ◽  
Vol 144 (1) ◽  
pp. 383-387 ◽  
Author(s):  
A I Pudovkin ◽  
D V Zaykin ◽  
D Hedgecock

Abstract The important parameter of effective population size is rarely estimable directly from demographic data. Indirect estimates of effective population size may be made from genetic data such as temporal variation of allelic frequencies or linkage disequilibrium in cohorts. We suggest here that an indirect estimate of the effective number of breeders might be based on the excess of heterozygosity expected in a cohort of progeny produced by a limited number of males and females. In computer simulations, heterozygote excesses for 30 unlinked loci having various numbers of alleles and allele-frequency profiles were obtained for cohorts produced by samples of breeders drawn from an age-structured population and having known variance in reproductive success and effective number. The 95% confidence limits around the estimate contained the true effective population size in 70 of 72 trials and the Spearman rank correlation of estimated and actual values was 0.991. An estimate based on heterozygote excess might have certain advantages over the previous estimates, requiring only single-locus and single-cohort data, but the sampling error among individuals and the effect of departures from random union of gametes still need-to be explored.


PLoS ONE ◽  
2015 ◽  
Vol 10 (6) ◽  
pp. e0128247 ◽  
Author(s):  
Urtzi Laconcha ◽  
Mikel Iriondo ◽  
Haritz Arrizabalaga ◽  
Carmen Manzano ◽  
Pablo Markaide ◽  
...  

Genetics ◽  
1994 ◽  
Vol 136 (2) ◽  
pp. 685-692 ◽  
Author(s):  
Y X Fu

Abstract A new estimator of the essential parameter theta = 4Ne mu from DNA polymorphism data is developed under the neutral Wright-Fisher model without recombination and population subdivision, where Ne is the effective population size and mu is the mutation rate per locus per generation. The new estimator has a variance only slightly larger than the minimum variance of all possible unbiased estimators of the parameter and is substantially smaller than that of any existing estimator. The high efficiency of the new estimator is achieved by making full use of phylogenetic information in a sample of DNA sequences from a population. An example of estimating theta by the new method is presented using the mitochondrial sequences from an American Indian population.


Sign in / Sign up

Export Citation Format

Share Document