19.1. Measuring Quantitative Variation
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What is quantitative genetics?
What is genetic architecture and what is it in the heart of?
What is an example?
Quantitative genetis is the subfield of genetics that develops and applies certain counting methods to understand the inheritance of complex traits.
It is in the heart of quantitative genetics and it is a description of all the genetic and environmental factors that influence a trait.
Blood pressure; property of a specific population and can vary among populations of a species.
How are quantitative traits described?
What are the synonyms for quantitative traits?
What do they take on?
What is an example?
- Quantitative traites are described by a frequency distribution.
- The synonyms are quantitative, metric, and continuous traits.
- Quantitative, continuous, and metric traits take on any value within some range.
- An example of quantitative measurement is a ruler measurement of corn plant height.
What is a meristic trait?
What is a factor?
What are quantitative traits?
What is a binary trait?
A meristic trait is a desecrate count of something such as the number of frog eggs or the number of cataplectic episodes.
A factor is discrete categories of something such as small or large.
Quantitative traits are traits that take on any value within some range such as ruler measurement of corn plant height.
A binary trait is a "Yes/No="Case/Control" in where all samples are divided into just two phenotype categories.
How would you simplify phenotyping?
How are trait data often are limited?
Are trait measurements subjective or objective?
What is an example of subjective trait measurements?
You can simplify phenotyping by focusing on just one phenotype and breaking it down into simple components.
Trait data are often limited due to factors such as practicality, feasibility, and ethicality.
- Trait measurements are subjective.
- Eyeballing it.
How do you deal with measurements?
What do you do about a set of non-independent quantitative measurements?
- 1. You can analyze each on2 separately.
- 2. Figure out a biologically relevant way to aggregate the measurements such as taking an average or range.
- 3. Fit a model.
Use discriminant function analysis, principal components analysis, and see overall patterns in the set of phenotypes.
What can phenotype measurements be categorized by?
True or False?
Our Phenotyping collects a small subset of information about the detailed biology of a sample.
Phenotyping measurements can be categorized by binary, quantitative, and factor traits.
What would you like to do?
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