The Muller coefficient or Muller's coefficient is a measure that estimates the probability that two randomly selected genes from a population will be located on the same chromosome.
The Müller coefficient was discovered in 1924 by the German geneticist Wilhelm Müller and is one of the main tools in genetics. It is widely used in various fields of science, including medicine, biology, ecology and genetics.
To calculate the Muller coefficient, you need to know the size of the population and the number of genes in it. Then you need to select two random genes and determine whether they are on the same chromosome or not. If yes, then the Muller coefficient will be equal to one, if not, then zero.
Example: Let the population size be 1000 individuals and have 10 genes. Then we can choose two random genes, for example, A and B. If they are on the same chromosome, then the Muller coefficient is equal to one. If they are on different chromosomes, then the coefficient is zero.
The Muller coefficient is widely used in genetic research to determine the degree of linkage of genes and analyze genetic maps. It can also be used to assess the genetic diversity of a population and identify genetic mutations.