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Randomly distributed mutations follow a Poisson distribution with λ equal to the SNV rate.

These values, multiplied by the observed mutation frequencies, were then used to calculate confidence limits under the assumption that mutations follow a Poisson distribution.

Disorders originating from mtDNA mutations follow a uniparental mode of inheritance, and can only be transmitted from the mother to the child.

We next examine the fluctuation test that grew out of this work and provided the first experimental proof (by using probabilistic models and statistical approaches) that bacterial mutations follow a Darwinian and not a Lamarckian model.

The scaled migration rate M between populations (i.e., twice the number of migrant genes per population per generation) is the same before and after the isolation period and mutations follow a Poisson process of rate θ / 2 (Kimura 1969).

Given that mutations follow a Poisson process of mean θ, we have P (π w = k / G ) = ∫ 0 ∞ e − θ T (θ T ) k k ! f T w (T ) d T and P (π b = k ) = ∫ 0 ∞ e − θ T (θ T ) k k ! f T b (T ) d T, where k is a positive integer and G is the length of the sequence (under the infinite size model, we assume that G is much larger than the number of segregating site).

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SDH mutations follow an autosomal dominant inheritance pattern.

However, when the variance is increased (e.g., if arising mutations follow an exponential distribution), we find that Ue can underestimate the true value U, whereas Se can overestimate the true value of E(S).

Lipton et al (2003) proposed that carcinomas arising in the setting of biallelic MYH mutations followed a distinct genetic pathway.

The distribution of these mutations follows a Poisson distribution with the mean of U - All mutations have the same character of dominancy and the same effect on fitness, regardless of the locus where they occur.

Based upon the simplifying assumptions that mutations occur randomly, that non-synonymous changes do not occur in conserved regions, and that the fixation of synonymous mutations follows a Poisson distribution, the proportion of primer binding regions that will have three or more mismatches can be calculated based upon the rate of evolution for the gene in question between the two index species.

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