|
Activity Number:
|
502
|
|
Type:
|
Topic Contributed
|
|
Date/Time:
|
Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
WNAR
|
| Abstract - #309038 |
|
Title:
|
Population Structure and Covariate Analysis Based on Pairwise Microsatellite Allele Matching Frequencies
|
|
Author(s):
|
Geof Givens*+ and Isin Ozaksoy
|
|
Companies:
|
Colorado State University and Colorado State University
|
|
Address:
|
Dept of Statistics, Fort Collins, CO, 80523,
|
|
Keywords:
|
genetics ; generalized additive model ; biology ; permutation test
|
|
Abstract:
|
We describe a general model for pairwise microsatellite allele matching probabilities. The model can be used for analysis of population substructure, and is particularly focused on relating genetic correlation to measurable covariates. The approach is intended for cases when the existence of subpopulations is uncertain and a priori assignment of samples to hypothesized subpopulations is difficult. The model estimates genetic structure associated with a Wahlund effect and also with spatial, temporal, or other variables that may confound the detection of population structure. Hypothesis tests for population substructure and for covariate effects can be carried out using permutation methods. Simulated and real examples illustrate the effectiveness and reliability of the approach. The method is compared to other familiar approaches.
|
