ﻻ يوجد ملخص باللغة العربية
A precise estimate of allele and haplotype polymorphism is of great interest for theoretical population genetics, but also practical issues, such as bone marrow registries. Allele polymorphism is driven mainly by point mutations, while haplotype polymorphism is also affected by recombination events. Even in the simple case of two loci in a haploid individual, there is currently no good estimate of the number of haplotypes as a function of the mutation and recombination rates. We here propose such an estimate and show that the common approximation that recombination can be treated as mutations is limited to recombination rates of the same order as the mutation rate. Beyond this regime, the total number of haplotypes is much lower than expected from the approximation above. Moreover, in contrast with mutations, the number of haplotypes does not grow linearly with the population size. We apply this new estimate to very large-scale human haplotype frequencies from human populations to show that the current estimated haplotype recombination rate in the HLA region is underestimated. This high recombination rate may be the source of HLA haplotype extreme polymorphism.
I compare two quantum-theoretical approaches to the phenomenon of adaptive mutations, termed here Q-cell and Q-genome. I use fluctuation trapping model as a general framework. I introduce notions of R-error and D-error and argue that the fluctuation
We build upon our previous analytical results for the Penna model of senescence to include positive mutations. We investigate whether a small but non-zero positive mutation rate gives qualitatively different results to the traditional Penna model in
A didactic introduction, dated by 1999, to the ideas of the papers arXiv:q-bio/0701050 and arXiv:0704.0034
We investigate a continuous time, probability measure-valued dynamical system that describes the process of mutation-selection balance in a context where the population is infinite, there may be infinitely many loci, and there are weak assumptions on
Pedigrees are directed acyclic graphs that represent ancestral relationships between individuals in a population. Based on a schematic recombination process, we describe two simple Markov models for sequences evolving on pedigrees - Model R (recombin