Abstract #301742

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JSM 2003 Abstract #301742
Activity Number: 335
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #301742
Title: Bayesian Inference of Population Structure from Dominant Markers
Author(s): Rongwei Fu*+ and Dipak K. Dey and Kent Holsinger
Companies: University of Connecticut and University of Connecticut and University of Connecticut
Address: U-4120, Storrs, CT, 06269-0001,
Keywords: Bayesian inference ; FST ; population genetics ; dominant markers
Abstract:

Molecular markers derived from polymerase chain reaction (PCR) amplification of genomic DNA provide important information for accessing genetic diversity. Random amplified polymorphic DNA markers (RAPDs) allow analysis of species for which previous DNA sequence information is lacking, but dominance makes it impossible to apply standard techniques to calculate F-statistics. Bayesian hierarchical models make it possible to estimate FST directly from dominant markers. We use beta distribution to model the allele frequency and develop methods to identify and estimate different FST across loci. An adaptive idea is used to decide the number of the FST in the data with DIC and L-Measure as the measure for comparison. Inference of parameters focuses on different FST and inbreeding coefficient FIS. We also investigate methods to identify possible influencing populations. We illustrate the method with RAPD data from 14 populations of a North American orchid, Platanthera leucophaea.

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