Easy: How to Calculate Expected Genotype Frequency (+Examples)

how to calculate expected genotype frequency

Easy: How to Calculate Expected Genotype Frequency (+Examples)

Determining the predicted distribution of genetic variations within a population, assuming random mating, is achieved through applying the principles of the Hardy-Weinberg equilibrium. This involves utilizing allele frequencies to estimate the likely prevalence of each possible combination of alleles at a particular genetic locus. For instance, if a gene has two alleles, A and a, with frequencies p and q respectively (where p + q = 1), the predicted proportions of the genotypes AA, Aa, and aa are p, 2pq, and q, respectively. Consider a population where the frequency of the A allele is 0.6 and the frequency of the a allele is 0.4. The calculated distribution of genotypes would be: AA (0.6 = 0.36), Aa (2 0.6 0.4 = 0.48), and aa (0.4 = 0.16). These calculations provide a baseline to compare against observed genotype frequencies.

This predicted distribution serves as a vital tool in population genetics. Deviations from these predictions can highlight the influence of evolutionary forces such as natural selection, genetic drift, mutation, gene flow, or non-random mating. Prior to the formulation of the Hardy-Weinberg principle in the early 20th century, understanding the factors governing allele and genotype frequencies within populations was limited. The principle offers a null hypothesis, allowing scientists to test whether a population is evolving at a particular locus. Its application has widespread implications for understanding inheritance patterns, predicting disease risks, and managing conservation efforts.

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