JSM 2011 Online Program

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

Abstract Details

Activity Number: 133
Type: Contributed
Date/Time: Monday, August 1, 2011 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #301040
Title: A Robust Model for Multilocus Population Genetics with Selfcrossing Rate
Author(s): Jingyuan Liu*+
Companies: Penn State University
Address: Department of Statistics, University Park, PA, 16802,
Keywords: Gametic linkage disequilibrium ; zygotic linkage disequilibrium ; Hardy-Weinberg equilibrium ; non-equilibrium population ; molecular marker
Abstract:

A fundamental assumption used for current multilocus analysis approaches is Hardy-Weinberg equilibrium. Given the fact that natural populations are rarely panmictic, these approaches will have a significant limitation for practical use. We present a robust model for multilocus linkage disequilibrium analysis which does not rely on the assumption of random mating. The new model capitalizes on Weir's definitions of zygotic disequilibria and is based on an open-pollinated design in which multiple maternal individuals and their half-sib families are sampled from a natural population, and it's applicable for both monoecious and dioecious plants. This design captures two levels of associations: one is at the upper level that describes the pattern of co-segregation between different loci in the parental population and the other is at the lower level that specifies the extent of co-transmission of homologous alleles at different loci from parents to their offspring. An MCMC method was implemented to estimate genetic parameters that define these associations. Simulation studies were used to validate the statistical behavior, and real data analysis was also provided.


The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2011 program




2011 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.