Using Linear Discriminant Analysis to Determine Ancestral Proportions of Admixed Individuals
Mentor 1
Dr. Abra Brisbin
Location
Union Wisconsin Room
Start Date
24-4-2015 2:30 PM
End Date
24-4-2015 3:45 PM
Description
Diseases affect individuals of various ancestral backgrounds differently. Thus, discovering the percentage of different ancestral backgrounds in individuals with multiple ancestries is useful for understanding and predicting disease susceptibility. In this poster, we will present an application of Linear Discriminant Analysis and Hidden Markov Models on genetic data to estimate the percentage of ancestral heritage for a given individual. This method will be verified and tested on simulated individuals with known ancestry proportions.
Using Linear Discriminant Analysis to Determine Ancestral Proportions of Admixed Individuals
Union Wisconsin Room
Diseases affect individuals of various ancestral backgrounds differently. Thus, discovering the percentage of different ancestral backgrounds in individuals with multiple ancestries is useful for understanding and predicting disease susceptibility. In this poster, we will present an application of Linear Discriminant Analysis and Hidden Markov Models on genetic data to estimate the percentage of ancestral heritage for a given individual. This method will be verified and tested on simulated individuals with known ancestry proportions.
