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Heritability

life science Maturity 11-13 Next article →

Heritability is a statistical concept used in genetics and breeding. It estimates how much of the variation in a specific trait within a population is due to genetic differences between individuals. It is important to understand that heritability does not describe a single person. Instead, it describes a whole group, or population. It asks what proportion of the differences we see is not explained by the environment or random chance.

Galton experiment
Galton experiment

To understand the mechanism, scientists use a mathematical model. They view a phenotype, which is the observable trait, as the sum of two main parts. The first part is the genotype, the genetic information an organism carries. The second part is the environment, which includes all external factors. The formula is expressed as Phenotype equals Genotype plus Environment. Scientists also look at the variance, or the spread of differences, within a population. This variance is the sum of genetic variance, environmental variance, and the interaction between the two.

Additive and Dominance Effects
Additive and Dominance Effects

There are two main types of heritability used in scientific studies. The first is broad-sense heritability, denoted by a capital H2. This measures all genetic contributions to a trait's variation. This includes additive effects, dominance effects, and epistatic effects, which are interactions between different genes. It also includes maternal and paternal effects, such as how milk production in mammals is affected by parents. The second is narrow-sense heritability, denoted by a lowercase h2. This only measures the additive genetic variance. This is the part of the genetic influence that leads to resemblance between parents and their offspring.

Additive and Dominance Effects
Additive and Dominance Effects

The history of estimating heritability involves several important scientific schools of thought. One approach was developed by Sewall Wright at the University of Chicago. He created a method known as Path Analysis to estimate these values. A second approach was started by R. A. Fisher. His work was expanded at several institutions, including the University of Edinburgh and Iowa State University. These researchers used the analysis of variance to study how relatives are related. Today, scientists use even more advanced tools like linear mixed models and genomic markers to study these patterns.

Heritability is a dynamic number that can change based on the population and its surroundings. It is not a fixed percentage of a person's identity. For example, if a trait has a heritability of 0.6, it does not mean 60% of your trait is inherited. It means that 60% of the variation in that specific group is linked to genes. Heritability can increase if genetic variation increases. It can also increase if environmental variation decreases, making everyone's environment more similar.

Response to selection
Response to selection

Scientists use various methods to gather data for these estimates. One common method is the twin study. Researchers compare identical twins, who share the same genes, to fraternal twins, who are less genetically similar. Another method involves studying adoption designs. This looks at twins who were separated early in life and raised in different homes. By comparing these individuals, scientists can separate the effects of genes from the effects of the environment.

Twin-concordances
Twin-concordances

Heritability is a vital concept in fields like selective breeding and behavior genetics. In agriculture, narrow-sense heritability is used to predict how much a trait will change through selection. If a breeder selects parents with a specific trait, the response to that selection depends on narrow-sense heritability. This process is the foundation of artificial selection. Understanding these connections helps scientists grasp how complex systems, from livestock to human behavior, evolve and change over time.

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🖼️ Images & Media (5)
File:Critique of the Theory of Evolution Fig 076.jpg
Critique of the Theory of Evolution Fig 076.jpg
File:Additive and Dominance Effects.png
Additive and Dominance Effects.png
File:Galton experiment.png
Galton experiment.png
File:Twin-concordances.jpg
Twin-concordances.jpg
File:Response to selection.jpg
Response to selection.jpg
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