Trait Variable

Use this field to specify the trait variable for the analysis.

Specific types of trait variables might be required, depending on the process that you are running. The table below lists process-specific requirements:

Process	Trait Requirements 1
Haseman Elston Regression	The trait must either be numeric binary or continuous .
K Matrix Compression	Binary, continuous, and ordinal, traits are all valid. Specify the trait type using the Type of Trait drop-down menu. Note : This variable is used for optimizing the mixed model when the optimized compression method is chosen.Only one trait can be specified for optimization because different traits typically result in different optimal K compression levels.
Quantitative TDT	The trait must be continuous.
Rare Variant Association	The trait can either be binary or continuous. Specify the trait type using the Type of Trait drop-down menu.
Variance Components	The trait must be continuous.

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See Type of Trait for more information on the different types of traits.

To Specify a Trait Variable:

Specify the input data set.

All of the variables in the specified data set are displayed in the Available Variables field.

Examine the list of available variables.

Highlight the desired variable.

Click to add the highlighted variable to the Trait Variable field, as shown below: