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2013 Abstracts

Validation of Cache County Genotype Data

Aaron Sharp, Brigham Young University

Biology

The Cache County study on memory, health, and aging has played a significant role in several studies. However, there is some potential skepticism in the scientific community about its sample. The population in Cache County is derived from a diverse group of founders, but it is perceived by some to be an isolated population. If so, conclusions discovered there might not apply to other populations. Our objective is to compare the Cache County data to a panel of genetic data—provided by the International HapMap Project and the Alzheimer’s Disease Neuroimaging initiative—that is known to be representative of typical European-American populations. Doing so will indicate whether the genetic diversity in the Cache County sample is characteristic of an isolate or not. Analysis will be done using the open source “Plink” analysis toolset, including the –cluster and –mds-plot computational algorithms. Using –cluster groups individuals according to identity by state distances. The –mds-plot algorithm creates a scatter-plot of the individuals in 2-dimensional space, identifying any systematic difference between the Cache County data and the general population. We expect that the Cache County data will be representative of general European-American populations, because of its diverse group of founders.