Distribution of gene frequency as a test of the theory of the selective neutrality of polymorphisms
TLDR
Using data from human populations, this work has shown highly significant heterogeneity in F values for human polymorphic genes over the world, thus demonstrating that a significant fraction of human polymorphisms owe their current gene frequencies to the action of natural selection.Abstract:
The variation in gene frequency among populations or between generations within a population is a result of breeding structure and selection. But breeding structure should affect all loci and alleles in the same way. If there is significant heterogeneity between loci in their apparent inbreeding coefficients F=s(p) (2)/p(1-p), this heterogeneity may be taken as evidence for selection. We have given the statistical properties of F and shown how tests of heterogeneity can be made. Using data from human populations we have shown highly significant heterogeneity in F values for human polymorphic genes over the world, thus demonstrating that a significant fraction of human polymorphisms owe their current gene frequencies to the action of natural selection. We have also applied the method to temporal variation within a population for data on Dacus oleae and have found no significant evidence of selection.read more
Citations
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Arlequin (version 3.0): An integrated software package for population genetics data analysis
TL;DR: Arlequin ver 3.0 as discussed by the authors is a software package integrating several basic and advanced methods for population genetics data analysis, like the computation of standard genetic diversity indices, the estimation of allele and haplotype frequencies, tests of departure from linkage equilibrium, departure from selective neutrality and demographic equilibrium, estimation or parameters from past population expansions, and thorough analyses of population subdivision under the AMOVA framework.
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Genomic control for association studies.
Bernie Devlin,Kathryn Roeder +1 more
TL;DR: The performance of the genomic control method is quite good for plausible effects of liability genes, which bodes well for future genetic analyses of complex disorders.
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Stacks: an analysis tool set for population genomics
Julian M. Catchen,Paul A. Hohenlohe,Paul A. Hohenlohe,Susan Bassham,Angel Amores,William A. Cresko +5 more
TL;DR: The expanded population genomics functions in Stacks will make it a useful tool to harness the newest generation of massively parallel genotyping data for ecological and evolutionary genetics.
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A Genome-Scan Method to Identify Selected Loci Appropriate for Both Dominant and Codominant Markers: A Bayesian Perspective
Matthieu Foll,Oscar E. Gaggiotti +1 more
TL;DR: It is shown that the inclusion of isolated populations that underwent a strong bottleneck can lead to a high rate of false positives, and it is demonstrated that it is possible to avoid them by carefully choosing the populations that should be included in the analysis.
Journal ArticleDOI
Evaluating Loci for Use in the Genetic Analysis of Population Structure
TL;DR: It is suggested that genetic variation at a discrepant locus, Identified under these conditions, is likely to have been influenced by natural selection, either acting on the locus itself or at a closely linked locus.
References
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Journal ArticleDOI
A molecular approach to the study of genic heterozygosity in natural populations. IV. Patterns of genic variation in central, marginal and isolated populations of Drosophila pseudoobscura.
Journal ArticleDOI
Population structure and human evolution
TL;DR: The reason that led Fisher to a negative conclusion is summarized in the relationship between the chance of success of the rare mutant and its selective advantage, given in detail in his 1930 paper on the distribution of gene ratios for rare mutations.
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The estimation of fitnesses from population data.
TL;DR: The present paper constitutes an extension of this analysis and is concerned with certain statistical problems which arise in conTnection with attempts to estimate fitnesses from the genotype frequency data produced by artificial populations in which rapid changes in genotype frequencies are taking place.
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