Genetic assignment methods
Genetic assignment methods are a set of powerful statistical methods that are used to determine the relationship between individuals and populations.[1] The general principle behind them is to use multilocus genotypes to assign reference populations as origins of the individuals.[2]
Genetic assignment methods
Frequency method
This method was first presented by Paetkau et al. in 1995.[3] It assigns an individual to the reference population based on the likelihood of that individual's genotype in the population. This method assumes Hardy–Weinberg equilibrium and independence of loci, as well as an unstated assumption that is the deduced population sample allelic frequencies are close to the exact values.[4] This method includes three steps:[4]
- Computing the required allelic frequencies in all candidate populations
- Computing the likelihoods of the individual's multilocus genotype occurring in each population
- Assigning the individual to the population in which the likelihood of the individual's genotype is the highest
Bayesian model
This method is inspired by Rannala and Mountain.[5] In their paper published in 1997, a Bayesian approach was used to detect immigration. Assuming each locus’ allelic frequencies in each population have an equal prior probability, the marginal probability of observing an individual with genotype [math]\displaystyle{ \scriptstyle A_k A_{k'} }[/math] at locus j in population i is equal to[5]
- [math]\displaystyle{ \begin{align} & \frac{\left(\frac{n_{ijk}+1}{K_j+1}\right) \left(\frac{n_{ijk}+1}{K_j}\right)}{(n_{ij}+2)(n_{ij}+1)} & & \text{ for } k = k' \\[6pt] & \frac{2 \left( \frac{n_{ijk}+1}{K_j} \right) \left( \frac{n_{ijk'}+1}{K_j} \right) }{(n_{ij}+2)(n_{ij}+1)} & & \text{ for } k \neq k' \end{align} }[/math]
nijk is the number of alleles k sampled at locus j in population i, nij is the number of gene copies sampled at locus j in population i, and kj is the total number of alleles observed in the whole populations at locus j.
Distance method
This method was presented by Cornuet et al. in 1999.[4] It uses genetic distance to assign the individual to the “closest” population. For the interpopulation distances, the individual is assigned as a sample of two alleles; for the shared allele distance, the distance was taken as the average of distances between the individual and the population samples. Note this method does not assume Hardy–Weinberg equilibrium or independence of loci.[4]
References
- ↑ Remais, Justin V., et al. "Genetic assignment methods for gaining insight into the management of infectious disease by understanding pathogen, vector, and host movement." PLOS Pathogens 7.4 (2011): e1002013.
- ↑ Piry, Sylvain, et al. "GENECLASS2: a software for genetic assignment and first-generation migrant detection." Journal of heredity 95.6 (2004): 536–539.
- ↑ Paetkau, D., et al. "Microsatellite analysis of population structure in Canadian polar bears." Molecular ecology 4.3 (1995): 347–354.
- ↑ 4.0 4.1 4.2 4.3 Cornuet, Jean-Marie, et al. "New methods employing multilocus genotypes to select or exclude populations as origins of individuals." Genetics 153.4 (1999): 1989–2000.
- ↑ 5.0 5.1 Rannala, Bruce, and Joanna L. Mountain. "Detecting immigration by using multilocus genotypes." Proceedings of the National Academy of Sciences 94.17 (1997): 9197–9201.
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