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.

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Apr 24th, 2:30 PM Apr 24th, 3:45 PM

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.